query
sequencelengths
2
2
pos
sequencelengths
1
1
neg
sequencelengths
1
1
task_id
int64
1
330
[ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "eq { count { filter_eq { all_rows ; shot % ; 78 % } } ; 2 }" ]
[ [ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "eq { count { filter_eq { all_rows ; gp ; 56 } } ; 2 }" ] ]
[ [ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "round_eq { sum { filter_eq { all_rows ; year ; 1978 } ; result } ; 62 }" ] ]
96
[ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "round_eq { sum { filter_eq { all_rows ; high assists ; damon stoudamire } ; high assists } ; 95 }" ]
[ [ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "round_eq { avg { filter_eq { all_rows ; high assists ; mario chalmers } ; high assists } ; 8.33 }" ] ]
[ [ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "eq { count { filter_eq { all_rows ; high assists ; mo williams } } ; 5 }" ] ]
96
[ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "less { hop { filter_eq { all_rows ; venue ; kuwait } ; date } ; hop { filter_eq { all_rows ; venue ; amman } ; date } }" ]
[ [ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "less { hop { filter_eq { all_rows ; venue ; athens , greece } ; date } ; hop { filter_eq { all_rows ; venue ; oslo , norway } ; date } }" ] ]
[ [ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "and { eq { nth_min { filter_eq { all_rows ; venue ; municipal stadium , poznań } ; date ; 3 } ; 14 june 2012 } ; eq { hop { nth_argmin { filter_eq { all_rows ; venue ; municipal stadium , poznań } ; date ; 3 } ; date } ; 14 june 2012 } }" ] ]
96
[ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "greater { hop { filter_eq { all_rows ; nation ; germany } ; silver } ; hop { filter_eq { all_rows ; nation ; united states } ; silver } }" ]
[ [ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "greater { hop { filter_eq { all_rows ; nation ; canada } ; silver } ; hop { filter_eq { all_rows ; nation ; united states } ; silver } }" ] ]
[ [ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "eq { hop { argmax { all_rows ; silver } ; nation } ; west germany }" ] ]
96
[ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "eq { count { filter_eq { all_rows ; money ; 122100 } } ; 6 }" ]
[ [ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "eq { count { filter_eq { all_rows ; silver ; 6 } } ; 2 }" ] ]
[ [ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "round_eq { sum { all_rows ; crowd } ; 121000 }" ] ]
96
[ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "greater { hop { filter_eq { all_rows ; language ; belarusian } ; number } ; hop { filter_eq { all_rows ; language ; polish } ; number } }" ]
[ [ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "greater { hop { filter_eq { all_rows ; mother tongue ; romanian } ; population ( 2006 ) } ; hop { filter_eq { all_rows ; mother tongue ; polish } ; population ( 2006 ) } }" ] ]
[ [ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "eq { hop { nth_argmax { filter_eq { all_rows ; gold ; 0 } ; total ; 2 } ; nation } ; slovakia }" ] ]
96
[ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "eq { hop { argmin { all_rows ; capacity } ; venue } ; peyia municipal stadium }" ]
[ [ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "eq { hop { argmin { all_rows ; capacity } ; stadium } ; billesley common }" ] ]
[ [ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "eq { hop { nth_argmax { all_rows ; capacity ; 3 } ; stadium } ; stadion gradski vrt }" ] ]
96
[ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "round_eq { sum { filter_eq { all_rows ; team ; new orleans } ; location attendance } ; 27053 }" ]
[ [ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "round_eq { sum { filter_eq { all_rows ; location attendance ; united center } ; location attendance } ; 226050 }" ] ]
[ [ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "eq { max { filter_eq { all_rows ; team ; san antonio } ; location attendance } ; staples center 18997 }" ] ]
96
[ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "eq { count { filter_eq { all_rows ; hometown ; swakopmund } } ; 2 }" ]
[ [ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "eq { count { filter_eq { all_rows ; county ; oppland } } ; 2 }" ] ]
[ [ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "only { filter_eq { all_rows ; hometown ; brampton , on } }" ] ]
96
[ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "eq { hop { argmin { filter_eq { all_rows ; air date ; 1975 } ; air date } ; title } ; family quarrel }" ]
[ [ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "eq { hop { argmin { all_rows ; original air date } ; title } ; a doomed christmas }" ] ]
[ [ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "greater { hop { filter_eq { all_rows ; title ; family quarrel } ; air date } ; hop { filter_eq { all_rows ; title ; the award } ; air date } }" ] ]
96
[ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "and { only { filter_eq { all_rows ; location attendance ; oracle arena } } ; eq { hop { filter_eq { all_rows ; location attendance ; oracle arena } ; date } ; november 18 } }" ]
[ [ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "and { only { filter_eq { all_rows ; location attendance ; quicken loans arena } } ; eq { hop { filter_eq { all_rows ; location attendance ; quicken loans arena } ; date } ; november 3 } }" ] ]
[ [ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "eq { hop { argmax { filter_eq { all_rows ; location attendance ; pepsi center } ; location attendance } ; date } ; november 1 }" ] ]
96
[ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "round_eq { avg { all_rows ; rank } ; 10th }" ]
[ [ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "round_eq { avg { all_rows ; top - 10 } ; 5-6 }" ] ]
[ [ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "most_greater { all_rows ; place ; 10 }" ] ]
96
[ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "greater { hop { filter_eq { all_rows ; internet plan ; internet 100 } ; upstream } ; hop { filter_eq { all_rows ; internet plan ; internet 30 } ; upstream } }" ]
[ [ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "greater { hop { filter_eq { all_rows ; call sign ; w245ac } ; frequency mhz } ; hop { filter_eq { all_rows ; call sign ; k216fw } ; frequency mhz } }" ] ]
[ [ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "eq { hop { nth_argmin { all_rows ; price ; 2 } ; internet plan } ; internet 30 }" ] ]
96
[ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "most_eq { all_rows ; chassis ; dallara }" ]
[ [ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "all_eq { all_rows ; chassis ; dallara }" ] ]
[ [ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "eq { count { filter_eq { all_rows ; chassis ; maserati 250f } } ; 4 }" ] ]
96
[ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "eq { hop { nth_argmax { all_rows ; age ; 1 } ; contestant } ; cindy guerrero reynoso }" ]
[ [ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "eq { hop { nth_argmax { all_rows ; total ; 2 } ; athlete } ; monica pinette }" ] ]
[ [ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "eq { hop { argmax { all_rows ; height ( in ) } ; contestant } ; happie ntelamo }" ] ]
96
[ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "eq { hop { nth_argmax { all_rows ; goals against ; 1 } ; team } ; ashton athletic }" ]
[ [ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "eq { hop { nth_argmin { all_rows ; goals scored ; 2 } ; team } ; once municipal }" ] ]
[ [ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "eq { hop { argmax { all_rows ; goals against } ; club } ; abuls smiltene }" ] ]
96
[ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "and { only { filter_eq { filter_eq { all_rows ; language ; french } ; points ; 14 } } ; eq { hop { filter_eq { filter_eq { all_rows ; language ; french } ; points ; 14 } ; artist } ; tonia } }" ]
[ [ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "and { only { filter_eq { all_rows ; points ; 0 } } ; eq { hop { filter_eq { all_rows ; points ; 0 } ; artist } ; photogenique } }" ] ]
[ [ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "and { eq { diff { hop { filter_eq { all_rows ; artist ; ann breen } ; points } ; hop { filter_eq { all_rows ; artist ; fran meen } ; points } } ; 14 } ; and { eq { hop { filter_eq { all_rows ; artist ; ann breen } ; song } ; oh , darling } ; eq { hop { filter_eq { all_rows ; artist ; fran meen } ; song } ; say that you love me } } }" ] ]
96
[ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "eq { count { filter_eq { filter_eq { all_rows ; directed by ; steve mann } ; written by ; john ridley } } ; 3 }" ]
[ [ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "eq { count { filter_eq { all_rows ; directed by ; jeff bleckner } } ; 3 }" ] ]
[ [ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "only { filter_eq { all_rows ; directed by ; john kretchmer } }" ] ]
96
[ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "eq { hop { nth_argmax { all_rows ; enrollment 08 - 09 ; 2 } ; location } ; portage }" ]
[ [ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "eq { hop { nth_argmax { all_rows ; enrollment 08 - 09 ; 2 } ; school } ; heritage }" ] ]
[ [ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "eq { hop { argmax { all_rows ; enrolment } ; school } ; pembroke school }" ] ]
96
[ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "eq { hop { nth_argmin { filter_eq { all_rows ; constructor ; brm } ; time / retired ; 3 } ; driver } ; lucien bianchi }" ]
[ [ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "eq { hop { nth_argmin { all_rows ; date ; 13 } ; race } ; italian grand prix }" ] ]
[ [ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "greater { hop { filter_eq { all_rows ; driver ; mark webber } ; time / retired } ; hop { filter_eq { all_rows ; driver ; jarno trulli } ; time / retired } }" ] ]
96
[ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "eq { count { filter_greater_eq { all_rows ; height ( ft ) ; 800 } } ; 2 }" ]
[ [ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "eq { count { filter_greater_eq { filter_greater_eq { all_rows ; max height ( ft ) ; 20000 } ; m / v ft / s ; 2200 } } ; 3 }" ] ]
[ [ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "eq { nth_min { filter_greater { all_rows ; height ft ( m ) ; 200 } ; floors ( stories ) ; 1 } ; 12 }" ] ]
96
[ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "most_eq { filter_eq { all_rows ; home ; los angeles } ; attendance ; 18118 }" ]
[ [ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "most_eq { all_rows ; city ; los angeles , california }" ] ]
[ [ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "eq { max { filter_eq { all_rows ; team ; san antonio } ; location attendance } ; staples center 18997 }" ] ]
96
[ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "round_eq { sum { all_rows ; goals } ; 20 }" ]
[ [ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "round_eq { sum { all_rows ; poles } ; 20 }" ] ]
[ [ "Represent the example for the following task: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. \n Here are the defications of each category: \n 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows \n 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows \n 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows \n 5. Comparative: Comparing two rows in the table, regarding their values in one column \n 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows \n 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. \n Here are the definitions of logical operators for understanding of command: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.:", "most_eq { all_rows ; played ; 20 }" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Visitors to North Korea must obtain a visa from one of the North Korean diplomatic missions.\n question: do i need a visa to go to north korea?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: In accordance with the law, citizens of all countries require a visa to visit Iraq.\n question: do i need a visa to visit iraq?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: In general, travelers in transit do not require a visa to transit through South Korea for less than 24 hours (for Incheon Airport) or when departing on the same calendar day (for all other airports) as long as they stay within the transit area.\n question: do i need a transit visa for south korea?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The ninth and final season of the American television comedy The Office premiered on NBC on September 20, 2012, and concluded on May 16, 2013, consisting of 25 episodes. The Office is an American adaptation of the British comedy series of the same name, and is presented in a mockumentary format, portraying the daily lives of office employees in the Scranton, Pennsylvania branch of the fictitious Dunder Mifflin Paper Company. The ninth season of The Office aired on Thursdays at 9:00 p.m. (Eastern) in the United States, as part of the Comedy Night Done Right television block. This is the second season not to star Steve Carell as lead character Michael Scott, although he returned for a cameo appearance in the series finale.\n question: will steve carell appear on the office season 9?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The series was renewed for an eighth season on March 17, 2011, began filming on July 25, 2011, and the season concluded filming on March 9, 2012. Jenna Fischer's pregnancy was written into the show, and Pam was again pregnant at the start of the season with a boy as she was in real life. Unlike the sixth season, there was no episode focusing on the baby's birth; it was instead announced on a blog. In an interview, executive producer Lieberstein stated that, with the departure of Michael Scott, the writers would explore further into the other characters on the show, such as centering on a specific character for an episode. On January 25, 2012, news broke that NBC was planning a spin-off series starring Rainn Wilson as Dwight Schrute, that would be set at Schrute Farms, Dwight's bed-and-breakfast and beet farm. The spin-off would be created by Wilson and executive producer Paul Lieberstein, but Office developer Greg Daniels would not be involved. Due to his initial involvement in the spin-off, Lieberstein stepped down as showrunner of The Office. On October 29, 2012, it was revealed that NBC was not going forward with the proposed spin-off, although the original backdoor pilot, ``The Farm'' aired later in the ninth season.\n question: is pam from the office really pregnant season 8?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The eighth season of the American television comedy The Office commenced airing on NBC in the United States on September 22, 2011, and concluded on May 10, 2012, consisting of 24 episodes. The series is an American adaptation of the British comedy series of the same name, and is presented in a mockumentary format, portraying the daily lives of office employees in the Scranton, Pennsylvania branch of the fictitious Dunder Mifflin Paper Company. The eighth season of The Office aired on Thursdays at 9:00 p.m. (Eastern) in the United States as part of the ``Comedy Night Done Right'' television block. This was the first season without Steve Carell as Michael Scott in the lead role and the only one to not feature the character in any capacity.\n question: does michael come back to the office in season 8?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: During the credits, Louie is shown emerging from the rubble, and performs ``I Wan'na Be like You'' with slightly modified lyrics.\n question: did king louie die in the jungle book 2016?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The epilogue reveals that Doughboy saw Ricky buried the next day and was murdered himself two weeks later. Tre and Brandi resume their relationship, and go on to attend Morehouse and Spelman Colleges in Atlanta, respectively.\n question: does trey die in boyz n the hood?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: In a post-credits scene, Nick Fury transmits a signal as he, Maria Hill, and others disintegrate. The transmitter displays a starburst insignia on a red-and-blue background.\n question: is there a credit scene in infity war?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The cougar (Puma concolor), also commonly known as the puma, mountain lion, panther, or catamount, is a large felid of the subfamily Felinae native to the Americas. Its range, from the Canadian Yukon to the southern Andes of South America, is the widest of any large wild terrestrial mammal in the Western Hemisphere. An adaptable, generalist species, the cougar is found in most American habitat types. It is the biggest cat in North America, and the second-heaviest cat in the New World after the jaguar. Secretive and largely solitary by nature, the cougar is properly considered both nocturnal and crepuscular, although daytime sightings do occur. The cougar is more closely related to smaller felines, including the domestic cat (subfamily Felinae), than to any species of subfamily Pantherinae, of which only the jaguar is native to the Americas.\n question: is a puma the same as a panther?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The cougar (Puma concolor), also commonly known as the puma, mountain lion, panther, or catamount, is a large felid of the subfamily Felinae native to the Americas. Its range, from the Canadian Yukon to the southern Andes of South America, is the widest of any large wild terrestrial mammal in the Western Hemisphere. An adaptable, generalist species, the cougar is found in most American habitat types. It is the biggest cat in North America, and the second-heaviest cat in the New World after the jaguar. Secretive and largely solitary by nature, the cougar is properly considered both nocturnal and crepuscular, although daytime sightings do occur. The cougar is more closely related to smaller felines, including the domestic cat (subfamily Felinae), than to any species of subfamily Pantherinae, of which only the jaguar is native to the Americas.\n question: is a cougar the same as a panther?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: F1 and F2 generations are usually the largest, due to the stronger genetic influence of the African serval ancestor. As with other hybrid cats such as the Chausie and Bengal cat, most first generation cats will possess many or all of the serval's exotic looking traits, while these traits often diminish in later generations. Male Savannahs tend to be larger than females.\n question: is a savannah cat the same as a bengal?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Unlike oxidative phosphorylation, oxidation and phosphorylation are not coupled in the process of substrate-level phosphorylation, and reactive intermediates are most often gained in the course of oxidation processes in catabolism. Most ATP is generated by oxidative phosphorylation in aerobic or anaerobic respiration while substrate-level phosphorylation provides a quicker, less efficient source of ATP, independent of external electron acceptors. This is the case in human erythrocytes, which have no mitochondria, and in oxygen-depleted muscle.\n question: can substrate level phosphorylation occur in the absence of oxygen?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Following glycolysis, the citric acid cycle is activated by the production of acetyl-CoA. The oxidation of pyruvate by Pyruvate dehydrogenase in the matrix produces CO, acetyl-CoA, and NADH. Beta oxidation of fatty acids serves as an alternate catabolic pathway that produces acetyl-CoA, NADH, and FADH. The production of acetyl-CoA begins the citric acid cycle while the co-enzymes produced are used in the electron transport chain.\n question: is pyruvate converted to acetyl coa in the mitochondrial matrix?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Molecules of carbohydrates and fats consist of carbon, hydrogen, and oxygen atoms. Carbohydrates range from simple monosaccharides (glucose, fructose, galactose) to complex polysaccharides (starch). Fats are triglycerides, made of assorted fatty acid monomers bound to a glycerol backbone. Some fatty acids, but not all, are essential in the diet: they cannot be synthesized in the body. Protein molecules contain nitrogen atoms in addition to carbon, oxygen, and hydrogen. The fundamental components of protein are nitrogen-containing amino acids, some of which are essential in the sense that humans cannot make them internally. Some of the amino acids are convertible (with the expenditure of energy) to glucose and can be used for energy production just as ordinary glucose. By breaking down existing protein, some glucose can be produced internally; the remaining amino acids are discarded, primarily as urea in urine. This occurs naturally when atrophy takes place, or during periods of starvation.\n question: is the human body able to synthesize lipids carbohydrates and proteins?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The Fourteenth Amendment to the United States Constitution guarantees U.S. citizenship to those born in the United States, provided the person is ``subject to the jurisdiction'' of the United States. Congress has further extended birthright citizenship to all inhabited U.S. territories except American Samoa. (People born in American Samoa get U.S. nationality without citizenship at birth.) The parent(s) and child are still subject to deportation. However, once they reach 21 years of age, American-born children, as birthright citizens, are able to sponsor their foreign families' U.S. citizenship and residency.\n question: can a foreigners have a baby in usa?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: U.S. citizenship is usually acquired by birth when a child is born in the territory of the United States. In addition to U.S. states, this includes the District of Columbia, Guam, Puerto Rico, the Northern Mariana Islands and the U.S. Virgin Islands. Citizenship, however, was not specified in the original Constitution. In 1868, the Fourteenth Amendment specifically defined persons who were either born or naturalized in the United States and subject to its jurisdiction as citizens. All babies born in the United States--except those born to enemy aliens in wartime or the children of foreign diplomats--enjoy U.S. citizenship under the Supreme Court's long-standing interpretation of the Fourteenth Amendment. The amendment states: ``All persons born or naturalized in the United States, and subject to the jurisdiction thereof, are citizens of the United States and of the State wherein they reside.'' There remains dispute as to who is ``subject to the jurisdiction'' of the United States at birth.\n question: is a naturalized citizen the same as a us citizen?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Status as a natural-born citizen of the United States is one of the eligibility requirements established in the United States Constitution for holding the office of President or Vice President. This requirement was intended to protect the nation from foreign influence.\n question: can a foreign born person run for president?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: On 23 January 1960, the Swiss-designed Trieste, originally built in Italy and acquired by the U.S. Navy, descended to the ocean floor in the trench manned by Jacques Piccard (who co-designed the submersible along with his father, Auguste Piccard) and USN Lieutenant Don Walsh. Their crew compartment was inside a spherical pressure vessel, which was a heavy-duty replacement (of the Italian original) built by Krupp Steel Works of Essen, Germany. Their descent took almost five hours and the two men spent barely twenty minutes on the ocean floor before undertaking the three-hour-and-fifteen-minute ascent. Their early departure from the ocean floor was due to their concern over a crack in the outer window caused by the temperature differences during their descent. The measured depth at the bottom was measured with a manometer at 10,916 m (35,814 ft) ±5 m (16 ft).\n question: has anything been to the bottom of the ocean?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Four descents have been achieved. The first was the manned descent by Swiss-designed, Italian-built, United States Navy-owned bathyscaphe Trieste which reached the bottom at 1:06 pm on 23 January 1960, with Don Walsh and Jacques Piccard on board. Iron shot was used for ballast, with gasoline for buoyancy. The onboard systems indicated a depth of 11,521 m (37,799 ft), but this was later revised to 10,916 m (35,814 ft). The depth was estimated from a conversion of pressure measured and calculations based on the water density from sea surface to seabed.\n question: has anyone been to the bottom of the mariana trench?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Carrying a full cargo of ore pellets with Captain Ernest M. McSorley in command, she embarked on her ill-fated voyage from Superior, Wisconsin, near Duluth, on the afternoon of November 9, 1975. En route to a steel mill near Detroit, Fitzgerald joined a second freighter, SS Arthur M. Anderson. By the next day, the two ships were caught in a severe storm on Lake Superior, with near hurricane-force winds and waves up to 35 feet (11 m) high. Shortly after 7:10 p.m., Fitzgerald suddenly sank in Canadian (Ontario) waters 530 feet (160 m) deep, about 17 miles (15 nautical miles; 27 kilometers) from Whitefish Bay near the twin cities of Sault Ste. Marie, Michigan, and Sault Ste. Marie, Ontario--a distance Fitzgerald could have covered in just over an hour at her top speed. Although Fitzgerald had reported being in difficulty earlier, no distress signals were sent before she sank; Captain McSorley's last message to Anderson said, ``We are holding our own.'' Her crew of 29 perished, and no bodies were recovered. The exact cause of the sinking remains unknown, though many books, studies, and expeditions have examined it. Fitzgerald may have been swamped, suffered structural failure or topside damage, been shoaled, or suffered from a combination of these.\n question: were any bodies found from the edmund fitzgerald?" ] ]
97
[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: On the premiere of Petals on the Wind, Lifetime announced the production of the two following books on the Dollanganger series, If There Be Thorns and Seeds of Yesterday, both set to premiere in 2015.\n question: is there a movie after petals on the wind?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: On April 11, 2014, Summit Entertainment announced that a two-part film based on the final book in the Divergent trilogy, Allegiant, would be made. The first part, The Divergent Series: Allegiant, will be released on March 18, 2016, while the second part, The Divergent Series: Ascendant, on June 9, 2017. Shailene Woodley, Theo James, and Naomi Watts will reprise their roles. On December 5, 2014, it was announced that Robert Schwentke will return to direct Part 1. Principal photography for Allegiant began in Atlanta on May 18, 2015, and concluded on August 23, 2015. On September 10, 2015, it was announced that the two films would be re-titled, with Part 1 being renamed as The Divergent Series: Allegiant and Part 2 as The Divergent Series: Ascendant. Lee Toland Krieger will serve as the director for Ascendant. Ascendant is currently on hold due to Lionsgate's decision to release it as a TV movie, mainly due to the third movie Allegiant underperforming.\n question: is there a sequel to the movie divergent?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: In December 2014, it was announced that Torment, the second installment in the Fallen book series, was in development. It is unknown whether the last two novels, Passion and Rapture, and the spin-off novel, Unforgiven, will be adapted as well. In 2017, producer Kevan Van Thompson asked the fans if they want an adaptation of ``Torment'', showing that the sequel still could be made.\n question: will there be a fallen 2 movie 2017?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Grown-ish (stylized as grown ish) is an American sitcom series and a spin-off of the ABC series Black-ish. The single-camera comedy follows the Johnsons' eldest daughter Zoey (Yara Shahidi) as she heads off to college and begins her journey to adulthood but quickly discovers that not everything goes her way once she leaves the nest she always knew. Deon Cole, Trevor Jackson, Francia Raisa, Emily Arlook, Jordan Buhat, Chloe x Halle, Luka Sabbat, and Chris Parnell also star.\n question: is grown ish a spin off of blackish?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Young Sheldon (stylized as young Sheldon) is an American television comedy on CBS created by Chuck Lorre and Steven Molaro. The series is a spin-off prequel to The Big Bang Theory and follows the character Sheldon Cooper at the age of nine, living with his family in East Texas and going to high school. Iain Armitage stars as young Sheldon, alongside Zoe Perry, Lance Barber, Montana Jordan, Raegan Revord, and Annie Potts. Jim Parsons, who portrays the adult Sheldon Cooper on The Big Bang Theory, narrates the series and serves as an executive producer.\n question: is young sheldon a spin off of big bang theory?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Good Times is an American sitcom that aired on CBS from February 8, 1974, to August 1, 1979. Created by Eric Monte and Mike Evans, and developed by Norman Lear, the series' primary executive producer, it was television's first African American two-parent family sitcom. Good Times was billed as a spin-off of Maude, which was itself a spin-off of All in the Family.\n question: was good times a spin off of the jeffersons?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The immediate family is a defined group of relations, used in rules or laws to determine which members of a person's family are affected by those rules. It normally includes a person's parents, spouses, siblings, children, or an individual related by blood whose close association is an equivalent of a family relationship. It can contain others connected by birth, adoption, marriage, civil partnership, or cohabitation, such as grandparents, great-grandparents, grandchildren, great-grandchildren, aunts, uncles, siblings-in-law, half-siblings, cousins, adopted children and step-parents/step-children, and cohabiting partners.\n question: does brother in law count as immediate family?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The immediate family is a defined group of relations, used in rules or laws to determine which members of a person's family are affected by those rules. It normally includes a person's parents, spouses, siblings, children, or an individual related by blood whose close association is an equivalent of a family relationship. It can contain others connected by birth, adoption, marriage, civil partnership, or cohabitation, such as grandparents, great-grandparents, grandchildren, great-grandchildren, aunts, uncles, siblings-in-law, half-siblings, cousins, adopted children and step-parents/step-children, and cohabiting partners.\n question: is a brother in law considered a relative?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: A lineal descendant, in legal usage, is a blood relative in the direct line of descent -- the children, grandchildren, great-grandchildren, etc. of a person. In a legal procedure sense, lineal descent refers to the acquisition of estate by inheritance from grandparent to parent and parent to child, whereas collateral descent refers to the acquisition of estate or real property by inheritance from sibling to sibling, and cousin to cousin.\n question: is a daughter in law considered a lineal descendant?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Retail sale of beer and wine is prohibited on Sundays between 2:00 a.m. and 1:00 p.m. and between 2:00 a.m. and 7:00 a.m. on weekdays and Saturdays. Retail sale of liquor is prohibited on Sundays, Christmas Day, and between 12:00 midnight and 8:00 a.m on all other days.\n question: can i buy liquor on sunday in wv?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Retail sale of beer and wine is prohibited on Sundays between 2:00 a.m. and 1:00 p.m. and between 2:00 a.m. and 7:00 a.m. on weekdays and Saturdays. Retail sale of liquor is prohibited on Sundays, Christmas Day, and between 12:00 midnight and 8:00 a.m on all other days.\n question: can you buy liquor on sundays in west virginia?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: It is illegal to sell packaged liquor (off-premises sales) on Sundays. Sales also are prohibited on Memorial Day, Independence Day, Labor Day, Thanksgiving Day, and Christmas Day. Low-point beer for consumption off-premises may not be sold between 2:00 a.m. and 6:00 a.m.\n question: are liquor stores open in oklahoma on 4th of july?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The Atlantic City Rail Terminal is Atlantic City, New Jersey's train station. It is the easternmost stop on the Atlantic City Line to and from Philadelphia. The station was also served by the Atlantic City Express Service (ACES) from 2009 until it was formally discontinued on March 9, 2012. The Atlantic City terminal is a 5-track, 3-platform terminal located inside of the Atlantic City Convention Center. The Atlantic City Line is a commuter train and runs daily all day.\n question: is there a train station in atlantic city?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Newark Liberty International Airport Station (also known as Newark International Airport Station) is a railroad station on the Northeast Corridor (NEC) in Newark, New Jersey. The station provides access to Newark Liberty International Airport (EWR) via the AirTrain monorail which connects the station to the airport's terminals and parking areas. It is served by New Jersey Transit's (NJT) Northeast Corridor Line and North Jersey Coast Line and Amtrak's Northeast Regional and Keystone Service trains. The station, located in the Dayton neighborhood of the city, has no pedestrian access, bus service, parking facility, or drop-off area.\n question: is there a train station in newark airport?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Pensacola station is a former train station in Pensacola, Florida. It was served by Amtrak, the national railroad passenger system. The station served as a replacement for the former Louisville and Nashville Passenger Station and Express Building. Service has been suspended since Hurricane Katrina struck Pensacola in 2005. However, service is proposed to return in the near future, bringing back the Sunset Limited to this station.\n question: is there an amtrak station in pensacola florida?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The Settlers of Catan, sometimes shortened to Catan or to Settlers, is a multiplayer board game designed by Klaus Teuber and first published in 1995 in Germany by Franckh-Kosmos Verlag (Kosmos) as Die Siedler von Catan. Players assume the roles of settlers, each attempting to build and develop holdings while trading and acquiring resources. Players gain points as their settlements grow; the first to reach a set number of points, typically 10, wins. The game and its many expansions are also published by Mayfair Games, Filosofia, Capcom, 999 Games, Κάισσα, and Devir.\n question: is catan the same as settlers of catan?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Once the tower is built, the person who built the tower gets the first move. Moving in Jenga consists of taking one and only one block from any level (except the one below the incomplete top level) of the tower, and placing it on the topmost level to complete it. Only one hand should be used at a time when taking blocks from the tower. Blocks may be bumped to find a loose block that will not disturb the rest of the tower. Any block that is moved out of place must be returned to its original location before removing another block. The turn ends when the next person to move touches the tower or after ten seconds, whichever occurs first.\n question: can you take from the bottom in jenga?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: During the game, players move their playing pieces around a track which is shaped like a wheel with six spokes. This track is divided into spaces of different colors, and the center of the board is a hexagonal ``hub'' space. At the end of each spoke is a ``category headquarters'' space. When a player's counter lands on a square, the player answers a question according to the color of the square, which corresponds to one of the six categories. If the player answers the question correctly, his turn continues; if the player's piece was on one of the category headquarters spaces, he/she collect a wedge of the same color, which fits into the playing piece. Some spaces say ``roll again,'' giving an extra roll of the die to the player. The hub is a ``wild'' space; a player landing here may answer a question in the category of his choice. Questions must be answered without any outside assistance. Any number of playing pieces may occupy the same space at the same time. A variant rule ends a player's turn on collecting a wedge, preventing a single knowledgeable player from running the board.\n question: can you go through the middle in trivial pursuit?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The novel tells the story of a fictional famous college football player at the University of North Carolina at Chapel Hill during the early 1950s. The setting of the novel was changed to Louisiana University for the movie adaptation. The main character, Gavin Grey, wins the Heisman Trophy and then goes on to a professional career, but is sidetracked by alcoholism, failed business ventures, and marital difficulties among other misjudgments.\n question: is everybody's all american a true story?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Creed is a 2015 American sports drama film directed by Ryan Coogler and written by Coogler and Aaron Covington. A spin-off and sequel to the Rocky film series, becoming its seventh installment, the film stars Michael B. Jordan as Adonis Johnson Creed, Apollo Creed's son, with Sylvester Stallone reprising the role of Rocky Balboa. It also features Tessa Thompson, Phylicia Rashād, Tony Bellew and Graham McTavish. The film reunites Jordan with Fruitvale Station writer-director Coogler, as well as Wood Harris, with whom Jordan had worked on The Wire.\n question: is creed movie based on a true story?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Friday Night Lights: A Town, a Team, and a Dream is a 1990 non-fiction book written by H.G. Bissinger. The book follows the story of the 1988 Permian High School Panthers football team from Odessa, Texas, as they made a run towards the Texas state championship. While originally intended to be a Hoosiers-type chronicle of high school sports that holds together a small town, the final book ended up being critical about life in the town of Odessa. It was later adapted for television and film.\n question: is friday night lights based on a true story?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Doctor is an academic title that originates from the Latin word of the same spelling and meaning. The word is originally an agentive noun of the Latin verb docēre (dɔˈkeːrɛ) 'to teach'. It has been used as an academic title in Europe since the 13th century, when the first Doctorates were awarded at the University of Bologna and the University of Paris. Having become established in European universities, this usage spread around the world. Contracted ``Dr'' or ``Dr.'', it is used as a designation for a person who has obtained a Doctorate (e.g. PhD). In many parts of the world it is also used by medical practitioners, regardless of whether or not they hold a doctoral-level degree.\n question: does a phd give you the title dr?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Doctor is an academic title that originates from the Latin word of the same spelling and meaning. The word is originally an agentive noun of the Latin verb docēre (dɔˈkeːrɛ) 'to teach'. It has been used as an academic title in Europe since the 13th century, when the first doctorates were awarded at the University of Bologna and the University of Paris. Having become established in European universities, this usage spread around the world. Contracted ``Dr'' or ``Dr.'', it is used as a designation for a person who has obtained a Doctorate (e.g. PhD). In many parts of the world it is also used by medical practitioners, regardless of whether or not they hold a doctoral-level degree.\n question: is a person with a phd a doctor?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: It is sometimes recommended that such degrees be listed in one's CV as an award, and not in the education section. With regard to the use of this honorific, the policies of institutions of higher education generally ask that recipients ``refrain from adopting the misleading title'' and that a recipient of an honorary doctorate should restrict the use of the title ``Dr'' before their name to any engagement with the institution of higher education in question and not within the broader community. Rev. Theodore Hesburgh held the record for most honorary degrees, having been awarded 150 during his lifetime.\n question: can you be called doctor with an honorary degree?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: A drought in the Western Cape province of South Africa began in 2015, resulting in a severe water shortage in the region, most notably affecting the City of Cape Town. In early 2018, with dam levels predicted to decline to critically low levels by April, the city announced plans for ``Day Zero'', when if a particular lower limit of water storage was reached, the municipal water supply would largely be shut off, potentially making Cape Town the first major city to run out of water. Through water saving measures and water supply augmentation, by March 2018 the City had reduced its daily water usage by more than half to around 500 million litres (110,000,000 imp gal; 130,000,000 US gal) per day. Combined with good rains in the winter of 2018, by June 2018 dam levels had increased to 43% of capacity, resulting in the City of Cape Town announcing that ``Day Zero'' was unlikely for 2019. Water restrictions will remain in place until dam levels reach 85%. As of 16 July 2018, the dam storage levels had reached 55.1%.\n question: is there still a water crisis in cape town?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: A drought in the Western Cape province of South Africa began in 2015 and is resulting in a severe water shortage in the region, most notably affecting the city of Cape Town. With dam levels predicted to decline to critically low levels, the city announced plans for ``Day Zero'', when the municipal water supply will largely be shut off, potentially making Cape Town the first major city to run out of water. Through water saving measures and water supply augmentation, by March 2018 the City had reduced its daily water consumption by more than half to around 500 million litres per day, resulting in the initial prediction of Day Zero in April 2018 being pushed back to 2019. The situation however remains severe, particularly if the run of record dry winters continues through 2018.\n question: is there a water crisis in cape town?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The Flint water crisis first started in 2014 when the drinking water source for the city of Flint, Michigan was changed from Lake Huron and the Detroit River to the cheaper Flint River. Due to insufficient water treatment, lead leached from the lead water pipes into the drinking water, exposing over 100,000 residents. After a pair of scientific studies proved lead contamination was present in the water supply, a federal state of emergency was declared in January 2016 and Flint residents were instructed to use only bottled or filtered water for drinking, cooking, cleaning, and bathing. As of early 2017, the water quality had returned to acceptable levels; however, residents were instructed to continue to use bottled or filtered water until all the lead pipes have been replaced, which is expected to be completed no sooner than 2020.\n question: can you drink the water in flint now?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The Bill of Rights in the United States is the first ten amendments to the United States Constitution. Proposed following the often bitter 1787--88 debate over ratification of the U.S. Constitution, and written to address the objections raised by Anti-Federalists, the Bill of Rights amendments add to the Constitution specific guarantees of personal freedoms and rights, clear limitations on the government's power in judicial and other proceedings, and explicit declarations that all powers not specifically delegated to Congress by the Constitution are reserved for the states or the people. The concepts codified in these amendments are built upon those found in several earlier documents, including the Virginia Declaration of Rights and the English Bill of Rights, along with earlier documents such as Magna Carta (1215). In practice, the amendments had little impact on judgments by the courts for the first 150 years after ratification.\n question: was the bill of rights included in the original constitution?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The First Amendment prohibits the making of any law respecting an establishment of religion, impeding the free exercise of religion, abridging the freedom of speech, infringing on the freedom of the press, interfering with the right to peaceably assemble or prohibiting the petitioning for a governmental redress of grievances. Initially, the First Amendment applied only to laws enacted by Congress, and many of its provisions were interpreted more narrowly than they are today.\n question: is the first amendment in the bill of rights?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The Bill of Rights is the first ten amendments to the United States Constitution. Proposed following the often bitter 1787--88 battle over ratification of the U.S. Constitution, and crafted to address the objections raised by Anti-Federalists, the Bill of Rights amendments add to the Constitution specific guarantees of personal freedoms and rights, clear limitations on the government's power in judicial and other proceedings, and explicit declarations that all powers not specifically delegated to Congress by the Constitution are reserved for the states or the people. The concepts codified in these amendments are built upon those found in several earlier documents, including the Virginia Declaration of Rights and the English Bill of Rights, along with earlier documents such as Magna Carta (1215). In practice, the amendments had little impact on judgments by the courts for the first 150 years after ratification.\n question: was the bill of rights in the constitution?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The Civil Rights Act of 1964 (Pub.L. 88--352, 78 Stat. 241, enacted July 2, 1964) is a landmark civil rights and US labor law in the United States that outlaws discrimination based on race, color, religion, sex, or national origin. It prohibits unequal application of voter registration requirements, racial segregation in schools, employment, and public accommodations.\n question: is the civil rights act in the constitution?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The phrase can also be found in Chapter III, Article 13 of the 1947 Constitution of Japan, and in President Ho Chi Minh's 1945 declaration of independence of the Democratic Republic of Vietnam. An alternative phrase ``life, liberty, and property'', is found in the Declaration of Colonial Rights, a resolution of the First Continental Congress. The Fifth Amendment and Fourteenth Amendment to the United States Constitution declare that governments cannot deprive any person of ``life, liberty, or property'' without due process of law. Also, Article 3 of the Universal Declaration of Human Rights reads, ``Everyone has the right to life, liberty, and security of person''.\n question: is life liberty and property in the constitution?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Eligibility to vote in the United States is established both through the federal constitution and by state law. Several constitutional amendments (the 15th, 19th, and 26th specifically) require that voting rights cannot be abridged on account of race, color, previous condition of servitude, sex, or age for those above 18; the constitution as originally written did not establish any such rights during 1787--1870. In the absence of a specific federal law or constitutional provision, each state is given considerable discretion to establish qualifications for suffrage and candidacy within its own respective jurisdiction; in addition, states and lower level jurisdictions establish election systems, such as at-large or single member district elections for county councils or school boards.\n question: does the constitution guarantee the right to vote?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: For most substances, melting and freezing points are approximately equal. For example, the melting point and freezing point of mercury is 234.32 kelvins (−38.83 °C or −37.89 °F). However, certain substances possess differing solid-liquid transition temperatures. For example, agar melts at 85 °C (185 °F) and solidifies from 31 °C (88 °F; 304 K); such direction dependence is known as hysteresis. The melting point of ice at 1 atmosphere of pressure is very close to 0 °C (32 °F; 273 K); this is also known as the ice point. In the presence of nucleating substances, the freezing point of water is not always the same as the melting point. In the absence of nucleators water can exist as a supercooled liquid down to −48.3 °C (−55°F, 224.8 K) before freezing. The chemical element with the highest melting point is tungsten, at 3,414 °C (6,177 °F; 3,687 K); this property makes tungsten excellent for use as filaments in light bulbs. The often-cited carbon does not melt at ambient pressure but sublimes at about 3,726.85 °C (6,740.33 °F; 4,000.00 K); a liquid phase only exists above pressures of 10 MPa (99 atm) and estimated 4,030--4,430 °C (7,290--8,010 °F; 4,300--4,700 K) (see carbon phase diagram). Tantalum hafnium carbide (TaHfC) is a refractory compound with a very high melting point of 4215 K (3942 °C, 7128 °F). At the other end of the scale, helium does not freeze at all at normal pressure even at temperatures close to absolute zero; pressure greater than twenty times of atmosphere of normal one is necessary.\n question: will the melting and freezing point of any pure substance be the same?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The Stefan--Boltzmann constant (also Stefan's constant), a physical constant denoted by the Greek letter σ (sigma), is the constant of proportionality in the Stefan--Boltzmann law: ``the total intensity radiated over all wavelengths increases as the temperature increases'', of a black body which is proportional to the fourth power of the thermodynamic temperature. The theory of thermal radiation lays down the theory of quantum mechanics, by using physics to relate to molecular, atomic and sub-atomic levels. Slovenian physicist Josef Stefan formulated the constant in 1879, and it was later derived in 1884 by Austrian physicist Ludwig Boltzmann. The equation can also be derived from Planck's law, by integrating over all wavelengths at a given temperature, which will represent a small flat black body box. ``The amount of thermal radiation emitted increases rapidly and the principal frequency of the radiation becomes higher with increasing temperatures''. The Stefan--Boltzmann constant can be used to measure the amount of heat that is emitted by a blackbody, which absorbs all of the radiant energy that hits it, and will emit all the radiant energy. Furthermore, the Stefan--Boltzmann constant allows for temperature (K) to be converted to units for intensity (W m), which is power per unit area.\n question: does stefan's constant depend upon wavelength of radiation?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: In industrial process engineering, mixing is a unit operation that involves manipulation of a heterogeneous physical system with the intent to make it more homogeneous. Familiar examples include pumping of the water in a swimming pool to homogenize the water temperature, and the stirring of pancake batter to eliminate lumps (deagglomeration). Mixing is performed to allow heat and/or mass transfer to occur between one or more streams, components or phases. Modern industrial processing almost always involves some form of mixing. Some classes of chemical reactors are also mixers. With the right equipment, it is possible to mix a solid, liquid or gas into another solid, liquid or gas. A biofuel fermenter may require the mixing of microbes, gases and liquid medium for optimal yield; organic nitration requires concentrated (liquid) nitric and sulfuric acids to be mixed with a hydrophobic organic phase; production of pharmaceutical tablets requires blending of solid powders. The opposite of mixing is segregation. A classical example of segregation is the brazil nut effect.\n question: can a gas mix into a liquid explain?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The vestibular system, in most mammals, is the sensory system that provides the leading contribution to the sense of balance and spatial orientation for the purpose of coordinating movement with balance. Together with the cochlea, a part of the auditory system, it constitutes the labyrinth of the inner ear in most mammals. As movements consist of rotations and translations, the vestibular system comprises two components: the semicircular canals, which indicate rotational movements; and the otoliths, which indicate linear accelerations. The vestibular system sends signals primarily to the neural structures that control eye movements, and to the muscles that keep an animal upright. The projections to the former provide the anatomical basis of the vestibulo-ocular reflex, which is required for clear vision; and the projections to the muscles that control posture are necessary to keep an animal upright.\n question: is the cochlea part of the vestibular system?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The cerebrum is a large part of the brain containing the cerebral cortex (of the two cerebral hemispheres), as well as several subcortical structures, including the hippocampus, basal ganglia, and olfactory bulb. In the human brain, the cerebrum is the uppermost region of the central nervous system. The prosencephalon is the embryonic structure from which the cerebrum develops prenatally. In mammals, the dorsal telencephalon, or pallium, develops into the cerebral cortex, and the ventral telencephalon, or subpallium, becomes the basal ganglia. The cerebrum is also divided into approximately symmetric left and right cerebral hemispheres.\n question: is the cerebrum and the cerebral cortex the same?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The optic nerve is the second of twelve paired cranial nerves and is technically part of the central nervous system, rather than the peripheral nervous system because it is derived from an out-pouching of the diencephalon (optic stalks) during embryonic development. As a consequence, the fibers of the optic nerve are covered with myelin produced by oligodendrocytes, rather than Schwann cells of the peripheral nervous system, and are encased within the meninges. Peripheral neuropathies like Guillain--Barré syndrome do not affect the optic nerve. However, most typically the optic nerve is grouped with the other eleven cranial nerves and considered to be part of the peripheral nervous system.\n question: is the eyes part of the nervous system?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Freedom of speech in Canada is protected as a ``fundamental freedom'' by Section 2 of the Canadian Charter of Rights and Freedoms.\n question: is freedom of speech a right in canada?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Freedom of expression in Canada is protected as a ``fundamental freedom'' by Section 2 of the Canadian Charter of Rights and Freedoms.\n question: is there a freedom of speech in canada?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The First Amendment (Amendment I) to the United States Constitution prevents Congress from making any law respecting an establishment of religion, prohibiting the free exercise of religion, or abridging the freedom of speech, the freedom of the press, the right to peaceably assemble, or to petition for a governmental redress of grievances. It was adopted on December 15, 1791, as one of the ten amendments that constitute the Bill of Rights.\n question: is the first amendment the bill of rights?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Las Vegas Stadium is the working name for a domed stadium under construction in Paradise, Nevada for the Las Vegas Raiders of the National Football League (NFL) and the UNLV Rebels football team of the University of Nevada, Las Vegas (UNLV). It is located on about 62 acres west of Mandalay Bay at Russell Road and Hacienda Avenue and between Polaris Avenue and Dean Martin Drive, just west of Interstate 15. Construction of the $1.8 billion stadium began in September 2017 and is expected to be completed in time for the 2020 NFL season.\n question: will the new raiders stadium be a dome?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Las Vegas Stadium is the working name for a domed stadium under construction in Paradise, Nevada for the Las Vegas Raiders of the National Football League (NFL) and the UNLV Rebels football team of the University of Nevada, Las Vegas (UNLV). It is located on about 62 acres west of Mandalay Bay at Russell Road and Hacienda Avenue and between Polaris Avenue and Dean Martin Drive, just west of Interstate 15. Construction of the $1.8 billion stadium began in September 2017 and is expected to be completed in time for the 2020 NFL season.\n question: does las vegas have a pro football team?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: On January 2, 2018, the Henderson city council approved the sale of 55 vacant acres of land to the Raiders for their new headquarters and practice facility near Henderson Executive Airport. In January, construction crews began blasting caliche rock with dynamite to excavate and create the stadium bowl. As of April 2018, more than 30 Raiders employees had already relocated to Las Vegas from Oakland.\n question: did the raiders move to las vegas yet?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: I'll Have Another (foaled April 1, 2009) is a North American Thoroughbred race horse, bred in Kentucky, owned by Canadian businessman J. Paul Reddam and trained by Doug O'Neill. In May 2012, ridden by Mario Gutierrez, he won the first two legs of the Triple Crown by taking the Kentucky Derby with a time of 2:01.83. and the Preakness Stakes in 1:55.94. On the day before the Belmont Stakes, he was scratched due to tendonitis, ending his chances of winning the Triple Crown, and retired from racing.\n question: did i'll have another win the triple crown?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Man o' War was not entered in the 1920 Kentucky Derby because his owner, Samuel Riddle, did not believe in racing at the distance of 10 furlongs so early in a young horse's career. Instead, Man o' War made his three-year-old debut in the Preakness Stakes where he defeated Upset by ​1 ⁄ lengths. Man o' War later won the Belmont Stakes by 20 lengths while setting a world record. Throughout the summer and fall, he continued to dominate his fellow three-year-olds, setting multiple records while conceding large amounts of weight to his rivals. The only time he faced older horses was in the final race of his career in a match race against Sir Barton, who had won what would later be known as the American Triple Crown in 1919. Man o' War won easily by seven lengths in the first horserace to be filmed in its entirety.\n question: did man of war win the kentucky derby?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: In the history of the Triple Crown, 13 horses have won all three races: Sir Barton (1919), Gallant Fox (1930), Omaha (1935), War Admiral (1937), Whirlaway (1941), Count Fleet (1943), Assault (1946), Citation (1948), Secretariat (1973), Seattle Slew (1977), Affirmed (1978), American Pharoah (2015), and Justify (2018). As of 2018, American Pharoah and Justify are the only living Triple Crown winners.\n question: has there ever been a triple crown winner?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Since 22 February 2017, New Hampshire is a constitutional carry state, requiring no license to open carry or concealed carry a firearm in public. Concealed carry permits are still issued for purposes of reciprocity with other states.\n question: can i carry a pistol in new hampshire?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Two types of pistol permits can be issued: possess on premises and concealed carry. Concealed carry permits may be restricted, but restrictions do not have the force of law. Permits issued outside of NYC are not valid in NYC unless a special license is issued granting validity.\n question: can you get a concealed carry permit in ny?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Since 22 February 2017, New Hampshire is a constitutional carry state, requiring no license to open carry or concealed carry a firearm in public. Concealed carry permits are still issued for purposes of reciprocity with other states.\n question: do you need a permit to carry a gun in nh?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The Xbox One gaming console has received updates from Microsoft since its launch in 2013 that enable it to play select games from its two predecessor consoles, Xbox and Xbox 360. On June 15, 2015, backward compatibility with supported Xbox 360 games became available to eligible Xbox Preview program users with a beta update to the Xbox One system software. The dashboard update containing backward compatibility was released publicly on November 12, 2015. On October 24, 2017, another such update added games from the original Xbox library. The following is a list of all backward compatible games on Xbox One under this functionality.\n question: can the xbox 1 s play xbox 360 games?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The Xbox One gaming console has received updates from Microsoft since its launch in 2013 that enable it to play select games from its two predecessor consoles, Xbox and Xbox 360. On June 15, 2015, backward compatibility with supported Xbox 360 games became available to eligible Xbox Preview program users with a beta update to the Xbox One system software. The dashboard update containing backward compatibility was released publicly on November 12, 2015. On October 24, 2017, another such update added games from the original Xbox library. The following is a list of all backward compatible games on Xbox One under this functionality.\n question: does the xbox 1 play xbox 360 games?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: During Microsoft's E3 2015 press conference on June 15, 2015, Microsoft announced plans to introduce Xbox 360 backward compatibility on the Xbox One at no additional cost. Supported Xbox 360 games will run within an emulator and have access to certain Xbox One features, such as recording and broadcasting gameplay. Games do not run directly from discs. A relicensed form of the game is downloaded automatically when a supported game is inserted, instead of having to make extensive modifications to the game in-order to port the original title. This means, that the only reason every single Xbox 360 title is not available, is a judicial issue, not an engineering one. All Xbox 360 games could run out-of-the-box on Xbox One, as they require no modifications or porting to run, other than a valid license. While digitally-purchased games will automatically appear for download in the user's library once available. As with Xbox One titles, if the game is installed using physical media, the disc is still required for validation purposes.\n question: can the xbox one play xbox 360 discs?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Tea is not only the name of the beverage but also of a light meal. Anna Maria, Duchess of Bedford, is credited with its creation, circa 1840, to ward off hunger between luncheon and dinner, as the latter was being served later and later. The tradition continues to this day in tea rooms in the UK. While these establishments have declined in popularity since World War II, there are still many to be found in the countryside. In the West Country, cream teas are a speciality: scones, clotted cream and jam accompany the drink. Afternoon tea, in contemporary British usage, usually indicates a special occasion, perhaps in a hotel dining room, with savoury snacks (tea sandwiches) as well as small sweet pastries.\n question: do the english put cream in their tea?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Tapioca balls (boba) are the prevailing chewy tidbits in bubble tea, but a wide range of other options can be used to add similar texture to the drink. These are usually black due to the brown sugar mixed in with the tapioca. Green pearls have a small hint of green tea flavor and are chewier than the traditional tapioca balls. Jelly comes different shapes: small cubes, stars, or rectangular strips, and flavors such as coconut jelly, konjac, lychee, grass jelly, mango, coffee and green tea available at some shops. Azuki bean or mung bean paste, typical toppings for Taiwanese shaved ice desserts, give the drinks an added subtle flavor as well as texture. Aloe, egg pudding (custard), and sago can be found in most tea houses.\n question: can you eat the black things in bubble tea?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The cake has a firm yet light texture. It is eaten with tea or (occasionally) for breakfast and is traditionally flavoured with lemon. Dating back to an original recipe in the 18th or 19th century, Madeira cake is similar to a pound cake or yellow cake. One of the earliest published recipes was by Eliza Acton in her Modern Cookery for Private Families (1845):\n question: is pound cake the same as madeira cake?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Courts have also established an ``exigent circumstances'' exception to the warrant requirement. ``Exigent circumstances'' simply means that the officers must act quickly. Typically, this is because police have a reasonable belief that evidence is in imminent danger of being removed or destroyed, but there is still a probable cause requirement. Exigent circumstances may also exist where there is a continuing danger, or where officers have a reasonable belief that people in need of assistance are present. This includes when the police are in 'hot pursuit of a fleeing felon.' In this circumstance, so long as there is probable cause, police may follow the suspect into a residence and seize any evidence in plain view.\n question: warrantless searches and seizures can be lawful when police are in hot pursuit of a subject?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Under U.S. law the fleeing felon rule was limited in 1985 to non-lethal force in most cases by Tennessee v. Garner, 471 U.S. 1. The justices held that deadly force ``may not be used unless necessary to prevent the escape and the officer has probable cause to believe that the suspect poses a significant threat of death or serious bodily harm to the officer or others.''\n question: can police use deadly force on a fleeing suspect?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: At any time, police may approach a person and ask questions. The objective may simply be a friendly conversation; however, the police also may suspect involvement in a crime, but lack ``specific and articulable facts'' that would justify a detention or arrest, and hope to obtain these facts from the questioning. The person approached is not required to identify himself or answer any other questions, and may leave at any time. Police are not usually required to tell a person that he is free to decline to answer questions and go about his business; however, a person can usually determine whether the interaction is consensual by asking, ``Am I free to go?''\n question: do i have to give my name to a police officer?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: St Peter's College is an independent, co-educational Anglican private secondary school located in Johannesburg, South Africa.\n question: is st peter's college a private school?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The University of St. Thomas (also known as St. Thomas) is a private, Catholic, liberal arts, and archdiocesan university located in St. Paul and Minneapolis, Minnesota. Founded in 1885 as a Catholic seminary, it is named after Thomas Aquinas, the medieval Catholic theologian and philosopher who is the patron saint of students. St. Thomas currently enrolls nearly 10,000 students, making it Minnesota's largest private, non-profit university. Julie Sullivan became the 15th president in the history of the University in 2013.\n question: is the university of st thomas a non profit?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Trinity Forest Golf Club is an 18-hole private golf club in the southern United States, located in Dallas, Texas.\n question: is trinity forest golf club a public course?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: In the United States, a designated survivor (or designated successor) is an individual in the presidential line of succession, usually a member of the United States Cabinet, who is arranged to be at a physically distant, secure, and undisclosed location when the President, the Vice President, and the other officials in the line of succession are gathered at a single location, such as during State of the Union addresses and presidential inaugurations. This is intended to guarantee continuity of government in the event of a catastrophic occurrence that kills the President and many officials in the presidential line of succession, such as a mass shooting, bombing, attack or catastrophic natural disaster. If such an event occurred, killing both the President and Vice President, the surviving official highest in the line, possibly the designated survivor, would become the Acting President of the United States under the Presidential Succession Act.\n question: is there such a thing as a designated survivor?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The practice of naming a designated survivor originated during the Cold War with its risk of nuclear attack. In 1947, the Presidential Succession Act established the line of succession and led to the continuity of government plan. In one special case the Housing and Urban Development Secretary Shaun Donovan was designated survivor for the 2010 State of the Union Address given by Barack Obama. At the same time Secretary of State Hillary Clinton was also absent from the address. However, Secret Service rules prevented Clinton from being named the designated survivor since it was public knowledge that she was at a conference in London during the event. Had a calamity occurred only in Washington and Clinton remained unharmed, she instead of Donovan would have become Acting President, as the Secretary of State is higher in the line of succession than the Housing and Urban Development Secretary.\n question: does the us really have a designated survivor?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The Cabinet includes the Vice President and the heads of 15 executive departments, listed here according to their order of succession to the Presidency. These 15 positions are the core ``cabinet member'' seats, as distinct from other Cabinet-level seats for other various top level White House staffers and heads of other government agencies, none of whom are in the presidential line of succession and not all of whom are Officers of the United States. Note that the Speaker of the House and the President pro tempore of the Senate follow the Vice President and precede the Secretary of State in the order of succession, but both are in the legislative branch and are not part of the Cabinet.\n question: is the speaker of the house part of the cabinet?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: In the United States, although the legality of headlight flashing varies from state to state, a federal court ruled that flashing headlights was a constitutionally protected form of speech, issuing an injunction prohibiting a police department from citing or prosecuting drivers who flash their lights to warn of radar and speed traps.\n question: is it illegal to flash lights to warn of police?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: In the United States, although the legality of headlight flashing varies from state to state, a federal court ruled that flashing headlights was a constitutionally protected form of speech, issuing an injunction prohibiting a police department from citing or prosecuting drivers who flash their lights to warn of radar and speed traps.\n question: is it against the law to flash your lights?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: A stop sign is a traffic sign to notify drivers that they must come to a complete stop and make sure no other cars are coming before proceeding.\n question: is it illegal to not stop at a stop sign?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Voting rights of United States citizens in Puerto Rico, like the voting rights of residents of other United States territories, differ from those of United States citizens in each of the fifty states and the District of Columbia. Residents of Puerto Rico and other U.S. territories do not have voting representation in the United States Congress, and are not entitled to electoral votes for President. The United States Constitution grants congressional voting representation to U.S. states, which Puerto Rico and other U.S. territories are not, specifying that members of Congress shall be elected by direct popular vote and that the President and the Vice President shall be elected by electors chosen by the States.\n question: can puerto rico residents vote for us president?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Voting rights of United States citizens in Puerto Rico, like the voting rights of residents of other United States territories, differ from those of United States citizens in each of the fifty states and the District of Columbia. Residents of Puerto Rico and other U.S. territories do not have voting representation in the United States Congress, and are not entitled to electoral votes for President. The United States Constitution grants congressional voting representation to U.S. states, which Puerto Rico and other U.S. territories are not, specifying that members of Congress shall be elected by direct popular vote and that the President and the Vice President shall be elected by electors chosen by the States.\n question: can puerto rico vote for united states president?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: In the United States House of Representatives, the District is represented by a delegate, who is not allowed to vote on the House floor but can vote on procedural matters and in congressional committees. D.C. residents have no representation in the United States Senate. The Twenty-third Amendment to the United States Constitution, adopted in 1961, entitles the District to the same number of electoral votes as that of the least populous state in the election of the President and Vice President of the United States.\n question: can citizens in washington dc vote for president?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Allison's cruel werewolf-hunter aunt, Kate Argent (Jill Wagner), arrives into town. Derek suspects Scott's mysterious veterinarian boss, Dr. Alan Deaton (Seth Gilliam) is the Alpha, but after it is confirmed that he is not, Alan concedes he is aware of the supernatural world and becomes Scott's ally. Jackson learns Scott is a werewolf and devises a plan to become a werewolf himself to rival Scott's success at lacrosse. The Alpha werewolf is revealed to be Derek's uncle, Peter Hale (Ian Bohen), who was the only survivor of the fire. Kate reveals to Derek that it was she who started the fire, and she also reveals the existence of werewolves to Allison.\n question: does jackson find out scott is a werewolf?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: While the family argues, Dennis sadly flees the hotel and enters the forest with Winnie in tow, hiding in her treehouse. They are attacked by Bela, who mistakes Dennis for a human. When Bela injures Winnie and threatens to destroy the hotel, Dennis' anger causes him to instantly grow his fangs and his vampire abilities manifest. He begins to fight Bela, who calls his giant-bat minions. Dracula, Mavis, Dennis, Johnny, the rest of the monsters, and Johnny's family team up to defeat Bela's allies. A livid Bela then attempts to kill Johnny himself with a stake. Having been won over by Dracula's claim that humans are harmless now, Vlad shrinks Bela and tells him never to bother his family again. With Dennis having vampire abilities, Mavis and Johnny continue to raise him in Transylvania, and they resume the party with his friends.\n question: does dennis from hotel transylvania become a vampire?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: In the third season, Damon helps Elena in bringing his brother, Stefan, back to Mystic Falls after Stefan becomes Klaus' henchman. The arrangement transpired after a bargain for his blood that would cure Damon of the werewolf bite he had received from Tyler. At first, he is reluctant to involve Elena in the rescue attempts, employing Alaric Saltzman, Elena's guardian, instead as Klaus does not know that Elena is alive after the sacrifice which frees Klaus' hybrid side. However, Elena involves herself, desperate to find Stefan. Damon, though hesitant at first, is unable to refuse her because of his love for her. He also points out to her that she once turned back from finding Stefan since she knew Damon would be in danger, clearly showing that she also has feelings for him. He tells her that ``when (he) drag(s) (his) brother from the edge to deliver him back to (her), (he) wants her to remember the things (she) felt while he was gone.'' When Stefan finally returns to Mystic Falls, his attitude is different from that of the first and second seasons. This causes a rift between Elena and Stefan whereas the relationship between Damon and Elena becomes closer and more intimate. A still loyal Elena, however, refuses to admit her feelings for Damon. In 'Dangerous Liaisons', Elena, frustrated with her feelings for him, tells Damon that his love for her may be a problem, and that this could be causing all their troubles. This incenses Damon, causing him to revert to the uncaring and reckless Damon seen in the previous seasons. The rocky relationship between the two continues until the sexual tension hits the fan and in a moment of heated passion, Elena -- for the first time in the three seasons -- kisses Damon of her own accord. This kiss finally causes Elena to admit that she loves both brothers and realize that she must ultimately make her choice as her own ancestress, Katherine Pierce, who turned the brothers, once did. In assessment of her feelings for Damon, she states this: ``Damon just sort of snuck up on me. He got under my skin and no matter what I do, I can't shake him.'' In the season finale, a trip designed to get her to safety forces Elena to make her choice: to go to Damon and possibly see him one last time; or to go to Stefan and her friends and see them one last time. She chooses the latter when she calls Damon to tell him her decision. Damon, who is trying to stop Alaric, accepts what she says and she tells him that maybe if she had met Damon before she had met Stefan, her choice may have been different. This statement causes Damon to remember the first night he did meet Elena which was, in fact, the night her parents died - before she had met Stefan. Not wanting anyone to know he was in town and after giving her some advice about life and love, Damon compels her to forget. He remembers this as he fights Alaric and seems accepting of his death when Alaric, whose life line is tied to Elena's, suddenly collapses in his arms. Damon is grief-stricken, knowing that this means that Elena has also died and yells, ``No! You are not dead!'' A heartbroken Damon then goes to the hospital demanding to see Elena when the doctor, Meredith Fell, tells him that she gave Elena vampire blood. The last shot of the season finale episode shows Elena in transition.\n question: does damon and elena get together in season 3?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Season 1 was shot inside of an actual grocery store, Field's Market in West Hills, California. For Season 2, the market was built in a 15,500 square foot warehouse in Santa Rosa, CA. It was built over two weeks and stocked with over $700,000 of food. After each episode, the perishable items were donated to local food banks and local farmers.\n question: is the grocery store on guy's grocery games a real store?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The Ranch is an American comedy web television series starring Ashton Kutcher, Danny Masterson, Debra Winger, Elisha Cuthbert, and Sam Elliott that debuted in 2016 on Netflix. The show takes place on the fictional Iron River Ranch in the fictitious small town of Garrison, Colorado; detailing the life of the Bennetts, a dysfunctional family consisting of two brothers, their rancher father, and his divorced wife and local bar owner. While the opening sequence shows scenes from Norwood and Ouray, Colorado and surrounding Ouray and San Miguel Counties, The Ranch is filmed on a sound stage in front of a live audience in Burbank, California. Each season consists of 20 episodes broken up into two parts, each containing 10 episodes.\n question: is garrison from the ranch a real place?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Season 1 was shot inside of an actual grocery store, Field's Market in West Hills, California. For Season 2, the market was built in a 15,500 square foot warehouse in Santa Rosa, CA. It was built over two weeks and stocked with over $700,000 of food. After each episode, the perishable items were donated to local food banks and local farmers.\n question: is the set of guys grocery games a real grocery store?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Williams is best known as the founder and last surviving original member of the Motown vocal group The Temptations, a group in which he continues to perform; he also owns the rights to the Temptations name.\n question: are there any of the original temptations living?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Following Maurice's death in January 2003, at the age of 53, Barry and Robin retired the group's name after 45 years of activity. In 2009, Robin announced that he and Barry had agreed the Bee Gees would re-form and perform again. Robin died in May 2012, aged 62, after a prolonged struggle with cancer and other health problems, leaving Barry as the only surviving member of the group's final line-up.\n question: are any of the bee gees still living?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Peter, Paul and Mary was an American folk group formed in New York City in 1961, during the American folk music revival phenomenon. The trio was composed of tenor Peter Yarrow, baritone Noel Paul Stookey and alto Mary Travers. The group's repertoire included songs written by Yarrow and Stookey, early songs by Bob Dylan as well as covers of other folk musicians. After the death of Travers in 2009, Yarrow and Stookey continued to perform as a duo under their individual names.\n question: are all members of peter paul and mary still alive?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: In mathematics and vector algebra, the cross product or vector product (occasionally directed area product to emphasize the geometric significance) is a binary operation on two vectors in three-dimensional space ( R 3 ) (\\displaystyle \\left(\\mathbb (R) ^(3)\\right)) and is denoted by the symbol × (\\displaystyle \\times ) . Given two linearly independent vectors a (\\displaystyle \\mathbf (a) ) and b (\\displaystyle \\mathbf (b) ) , the cross product, a × b (\\displaystyle \\mathbf (a) \\times \\mathbf (b) ) , is a vector that is perpendicular to both a (\\displaystyle \\mathbf (a) ) and b (\\displaystyle \\mathbf (b) ) and thus normal to the plane containing them. It has many applications in mathematics, physics, engineering, and computer programming. It should not be confused with dot product (projection product).\n question: is the cross product of two normalized vectors normalized?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The moment of inertia, otherwise known as the angular mass or rotational inertia, of a rigid body is a tensor that determines the torque needed for a desired angular acceleration about a rotational axis; similar to how mass determines the force needed for a desired acceleration. It depends on the body's mass distribution and the axis chosen, with larger moments requiring more torque to change the body's rotation. It is an extensive (additive) property: for a point mass the moment of inertia is just the mass times the square of distance to the rotation axis. The moment of inertia of a rigid composite system is the sum of the moments of inertia of its component subsystems (all taken about the same axis). Its simplest definition is the second moment of mass with respect to distance from an axis. For bodies constrained to rotate in a plane, only their moment of inertia about an axis perpendicular to the plane, a scalar value, matters. For bodies free to rotate in three dimensions, their moments can be described by a symmetric 3 × 3 matrix, with a set of mutually perpendicular principal axes for which this matrix is diagonal and torques around the axes act independently of each other.\n question: is moment of inertia the same as rotational inertia?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: In mathematics and vector algebra, the cross product or vector product (occasionally directed area product to emphasize the geometric significance) is a binary operation on two vectors in three-dimensional space ( R 3 ) (\\displaystyle \\left(\\mathbb (R) ^(3)\\right)) and is denoted by the symbol × (\\displaystyle \\times ) . Given two linearly independent vectors a (\\displaystyle \\mathbf (a) ) and b (\\displaystyle \\mathbf (b) ) , the cross product, a × b (\\displaystyle \\mathbf (a) \\times \\mathbf (b) ) , is a vector that is perpendicular to both a (\\displaystyle \\mathbf (a) ) and b (\\displaystyle \\mathbf (b) ) and thus normal to the plane containing them. It has many applications in mathematics, physics, engineering, and computer programming. It should not be confused with dot product (projection product).\n question: is dot product the same as cross product?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Components of an electrical circuit or electronic circuit can be connected in many different ways. The two simplest of these are called series and parallel and occur frequently. Components connected in series are connected along a single path, so the same current flows through all of the components. Components connected in parallel are connected along multiple paths, so the same voltage is applied to each component.\n question: is the voltage the same in a parallel circuit?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: In an electronic low-pass RC filter for voltage signals, high frequencies in the input signal are attenuated, but the filter has little attenuation below the cutoff frequency determined by its RC time constant. For current signals, a similar circuit, using a resistor and capacitor in parallel, works in a similar manner. (See current divider discussed in more detail below.)\n question: is an rc circuit a low pass filter?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: In a series circuit, the current through each of the components is the same, and the voltage across the circuit is the sum of the voltages across each component. In a parallel circuit, the voltage across each of the components is the same, and the total current is the sum of the currents through each component.\n question: is voltage the same in a series circuit?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: According to federal statute, the Court normally consists of the Chief Justice of the United States and eight associate justices who are nominated by the President and confirmed by the Senate. Once appointed, justices have lifetime tenure unless they resign, retire, or are removed after impeachment. In modern discourse, the justices are often categorized as having conservative, moderate, or liberal philosophies of law and of judicial interpretation. Each justice has one vote, and while a far greater number of cases in recent history have been decided unanimously, decisions in cases of the highest profile have often come down to just one single vote, thereby exposing the justices' ideological beliefs that track with those philosophical or political categories. The Court meets in the Supreme Court Building in Washington, D.C.\n question: can you retire from being a supreme court justice?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: According to federal statute, the Court normally consists of the Chief Justice of the United States and eight associate justices who are nominated by the President and confirmed by the Senate. Once appointed, justices have lifetime tenure unless they resign, retire, or are removed from office. Each justice has a single vote in deciding the cases argued before it; the chief justice's vote counts no more than that of any other justice. However, the Chief Justice--when in the majority--decides who writes the court's opinion. Otherwise, the senior justice in the majority assigns the writing of a decision. In modern discourse, the justices are often categorized as having conservative, moderate, or liberal philosophies of law and of judicial interpretation. While a far greater number of cases in recent history have been decided unanimously, decisions in cases of the highest profile have often come down to just one single vote, thereby exposing the justices' ideological beliefs that track with those philosophical or political categories. The Court meets in the Supreme Court Building in Washington, D.C. Its law-enforcement arm, the United States Marshals Service, is under the oversight of the U.S. Department of Justice.\n question: can a supreme court justice be forced to resign?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The Constitution provides that justices ``shall hold their offices during good behavior'' (unless appointed during a Senate recess). The term ``good behavior'' is understood to mean justices may serve for the remainder of their lives, unless they are impeached and convicted by Congress, resign, or retire. Only one justice has been impeached by the House of Representatives (Samuel Chase, March 1804), but he was acquitted in the Senate (March 1805). Moves to impeach sitting justices have occurred more recently (for example, William O. Douglas was the subject of hearings twice, in 1953 and again in 1970; and Abe Fortas resigned while hearings were being organized in 1969), but they did not reach a vote in the House. No mechanism exists for removing a justice who is permanently incapacitated by illness or injury, but unable (or unwilling) to resign.\n question: can the president get rid of a supreme court justice?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: In 1993, Tomy, who had been distributing the toys worldwide, lost the rights to the name ``Sylvanian Families'' in Canada and the USA. Tomy reintroduced the line under the new name Calico Critters of Cloverleaf Corners, now simply just called Calico Critters.\n question: are sylvanian families and calico critters the same?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Toys ``R'' Us expanded as a chain, becoming predominant in its niche field of toy retail. Represented by cartoon mascot Geoffrey the Giraffe from 1969, Toys ``R'' Us eventually branched out into launching the stores Babies ``R'' Us, Toys ``R'' Us Express, and the now-defunct Kids ``R'' Us.\n question: is babies r us and toys r us the same?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: In late December 2006, Express Scripts made a proposal to purchase Caremark. Express Scripts lost the race to acquire Caremark to CVS Corporation, which became CVS/Caremark Corporation on March 22, 2007.\n question: is cvs caremark the same as express scripts?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: In the first episode of season four, we find that Chuck is alive and well, having been rescued by Czech girl, Eva (Clémence Poésy) who has no idea of his wealth or who he is. He creates a fake name and persona as he no longer wants to be the manipulative Chuck Bass. He eventually reveals who he really is and returns to New York City with her, at the request of Blair and Serena. Blair insists she no longer loves him, but still schemes to undermine his new relationship. He eventually falls for one of her schemes and breaks up with Eva. He realizes his mistake and begs her to take him back, but she refuses, saying that he showed his true feelings by continuing to believe Blair over anyone else.\n question: does chuck bass really die in season 3?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: In the 5-year flash forward, Chuck and Blair are happily married with a son (Henry). They are all gathered at the Bass house for Dan and Serena's wedding.\n question: does chuck die in gossip girl season 6?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: In the final season, Blair resumes her romantic relationship with Chuck, while Chuck and his father Bart--who is revealed to be alive in the previous season--become bitter rivals. Blair pursues her career as head of Waldorf Designs, with several mishaps, before staging a successful line. In the penultimate episode, Bart falls to his death while trying to attack Chuck atop a building. Afterward, Blair and Chuck depart together. In the series finale, Blair marries Chuck which results in her not having to testify against him in his father's murder case. Five years later, Blair is shown to be running her mother's successful fashion line and she works with Jenny in a line called ``J for Waldorf'', and she and Chuck are shown to have a son named Henry.\n question: does blair in gossip girl have a baby?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Turtle may either refer to the order as a whole, or to particular turtles that make up a form taxon that is not monophyletic, or may be limited to only aquatic species. Tortoise usually refers to any land-dwelling, non-swimming chelonian. Terrapin is used to describe several species of small, edible, hard-shell turtles, typically those found in brackish waters.\n question: is a turtle the same as a tortoise?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The alligator snapping turtle (Macrochelys temminckii) is a species of turtle in the family Chelydridae, native to freshwater habitats in the United States. M. temminckii is one of the heaviest freshwater turtles in the world. It is often associated with, but not closely related to, the common snapping turtle, which is in the genus Chelydra. The specific epithet temminckii is in honor of Dutch zoologist Coenraad Jacob Temminck.\n question: is there such thing as an alligator snapping turtle?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The turtle's shell is covered in scutes that are made of keratin. The individual scutes as shown above have specific names and are generally consistent across the various species of turtles. Terrestrial tortoises do not shed their scutes. New scutes grow by the addition of keratin layers to the base of each scute. Aquatic chelonii shed individual scutes. The scute effectively forms the skin over the underlying bony structures; there is a very thin layer of subcutaneous tissue between the scute and the skeleton. The scutes can be brightly colored in some species, but the basal color is a grey to dark brown color dorsally; the plastral scutes are often white to yellow in base color. A turtle's shell consists of three rows of scutes, numbering 4, 9, and 25 from the inside out. These are the squares of the first three prime numbers, viz. 2, 3, and 5. Moustakas-Verho and Cherepanov's embryological study reveals that the patterning of the plastral scutes appear independent from the patterning of carapacial scutes, suggesting that the carapace and plastron evolved separately.\n question: does a turtle grow out of its shell?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The Hunger Games: Mockingjay -- Part 2 is a 2015 American dystopian science fiction adventure film directed by Francis Lawrence, with a screenplay by Peter Craig and Danny Strong. It is the fourth and final installment in The Hunger Games film series, and the second of two films based on the novel Mockingjay, the final book in The Hunger Games trilogy by Suzanne Collins. Produced by Nina Jacobson and Jon Kilik, and distributed by Lionsgate, the film features an ensemble cast that includes Jennifer Lawrence, Josh Hutcherson, Liam Hemsworth, Woody Harrelson, Elizabeth Banks, Julianne Moore, Philip Seymour Hoffman, and Donald Sutherland. Hoffman died in February 2014, making Mockingjay -- Part 2 his final film role. Principal photography on both parts of the film began on September 23, 2013 in Atlanta, before moving to Paris for two weeks of back-to-back filming and officially concluding on June 20, 2014, in Berlin and at Babelsberg Studios, Germany.\n question: is there any more hunger games coming out?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The Hunger Games: Mockingjay -- Part 2 is a 2015 American dystopian science fiction adventure film directed by Francis Lawrence, with a screenplay by Peter Craig and Danny Strong. It is the fourth and final installment in The Hunger Games film series, and the second of two films based on the novel Mockingjay, the final book in The Hunger Games trilogy by Suzanne Collins. Produced by Nina Jacobson and Jon Kilik, and distributed by Lionsgate, the film features an ensemble cast that includes Jennifer Lawrence, Josh Hutcherson, Liam Hemsworth, Woody Harrelson, Elizabeth Banks, Julianne Moore, Philip Seymour Hoffman, and Donald Sutherland. Hoffman died in February 2014, making Mockingjay -- Part 2 his final film role. Principal photography on both parts of the film began on September 23, 2013 in Atlanta, before moving to Paris for two weeks of back-to-back filming and officially concluding on June 20, 2014, in Berlin and at Babelsberg Studios, Germany.\n question: is there another hunger games after mockingjay part 2?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The Hunger Games: Mockingjay -- Part 2 is a 2015 American dystopian science fiction adventure film directed by Francis Lawrence, with a screenplay by Peter Craig and Danny Strong. It is the fourth and final installment in The Hunger Games film series, and the second of two films based on the novel Mockingjay, the final book in The Hunger Games trilogy by Suzanne Collins. Produced by Nina Jacobson and Jon Kilik, and distributed by Lionsgate, the film features an ensemble cast that includes Jennifer Lawrence, Josh Hutcherson, Liam Hemsworth, Woody Harrelson, Elizabeth Banks, Julianne Moore, Philip Seymour Hoffman, and Donald Sutherland. Hoffman died in February 2014, making Mockingjay -- Part 2 his final film role. Principal photography on both parts of the film began on September 23, 2013 in Atlanta, before moving to Paris for two weeks of back-to-back filming and officially concluding on June 20, 2014, in Berlin and at Babelsberg Studios, Germany.\n question: will there be a 4th hunger games movie?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The liger can grow to be much larger than its parent species, the lion and tiger. In particular, a liger called 'Nook' is reported to have weighed over 550 kg (1,210 lb).\n question: are tigers the biggest cat in the world?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: F1 and F2 generations are usually the largest, due to the stronger genetic influence of the African serval ancestor. As with other hybrid cats such as the Chausie and Bengal cat, most first generation cats will possess many or all of the serval's exotic looking traits, while these traits often diminish in later generations. Male Savannahs tend to be larger than females.\n question: is a savannah cat the same as a bengal?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The blue whale (Balaenoptera musculus) is a marine mammal belonging to the baleen whale parvorder, Mysticeti. At up to 30 metres (98 ft) in length and with a maximum recorded weight of 173 tonnes (190 short tons), it is the largest animal known to have ever existed.\n question: is the blue whale the largest animal ever?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Magic Kingdom's Mickey's Toontown Fair closed permanently in February 2011 in order to make way for the expansion of Fantasyland. Mickey's Country House also closed permanently at this time.\n question: is mickey mouse house still at magic kingdom?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The Great Movie Ride closed on August 13, 2017, becoming the last operating attraction from the park's opening day to close. The attraction is slated to be replaced by Mickey & Minnie's Runaway Railway.\n question: does disney still have the great movie ride?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Walt Disney's Carousel of Progress is a rotating theater stage show attraction that is located in Tomorrowland at the Magic Kingdom theme park at the Walt Disney World Resort in Bay Lake, Florida just outside of Orlando, Florida. Created by both Walt Disney and WED Enterprises as the prime feature of the General Electric (GE) Pavilion for the 1964 New York World's Fair, the attraction was moved to Tomorrowland at Disneyland in Anaheim, California as Carousel of Progress, remaining there from 1967 until 1973. It was replaced in Disneyland by America Sings in 1974, and reopened in its present home in the Walt Disney World Resort's Magic Kingdom in 1975.\n question: does disney world still have the carousel of progress?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Eric Dane (born Eric T. Melvin, November 9, 1972) is an American actor. After appearing in television roles throughout the 2000s such as Charmed, he became known for playing Dr. Mark Sloan on the medical drama television series Grey's Anatomy, as well as films, co-starring in Marley & Me (2008), Valentine's Day (2010), and Burlesque (2010). He stars as Captain Tom Chandler in the apocalyptic drama The Last Ship.\n question: did the person who played mark sloan die in real life?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Preston Xavier Burke, M.D. is a fictional character from the medical drama television series Grey's Anatomy, which airs on ABC in the United States. The character was created by series producer Shonda Rhimes, and was portrayed by actor Isaiah Washington from 2005 to 2007. Introduced as an attending cardiothoracic surgeon at the fictional Seattle Grace Hospital, Burke's romantic relationship with intern Cristina Yang formed one of the main storylines in the shows' first three seasons.\n question: does dr. burke die in grey's anatomy?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Mark Everett Sloan, M.D., F.A.C.S. is a fictional character from ABC's medical drama television series Grey's Anatomy, portrayed by Eric Dane. Created by series producer Shonda Rhimes, the character was introduced in season two as Dr. Derek Shepherd's best friend who acted as the catalyst for the end of Shepherd's marriage when Shepherd caught Sloan sleeping with his wife, Dr. Addison Montgomery. Soon after moving to Seattle Grace Hospital as an attending specializing in plastic surgery to reconcile with Derek, Mark earned the nickname ``McSteamy'' for his good looks by the female interns. Mark's focal storyline in the series involved his romantic relationship with Dr. Lexie Grey. Both he and Lexie sustained life-threatening injuries after an aviation accident in the eighth season finale, which resulted in their deaths. Seattle Grace is later renamed Grey-Sloan Memorial Hospital in their memory.\n question: did mark sloan die on grey's anatomy?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The tournament book of the London 1883 international chess tournament (originally published in 1883) contains a ``Revised International Chess Code'', which was ``published for the consideration of Chess Players, and especially of the managers of future International Tournaments''. Unlike the 1862 rule, which allowed the pawn to remain a pawn, it requires that: ``A Pawn reaching the eighth square must be named as a Queen or piece ... '' (Minchin 1973:iii--iv)\n question: can you promote a pawn to a pawn?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: During the 15th century the queen's move took its modern form as a combination of the move of the rook and the current move of the bishop. Starting from Spain, this new version -- called ``queen's chess'' (scacchi de la donna), or pejoratively ``madwoman's chess'' (scacchi alla rabiosa) -- spread throughout Europe rapidly, partly due to the advent of the printing press and the popularity of new books on chess. The new rules faced a backlash in some quarters, ranging from anxiety over a powerful female warrior figure to frank abuse against women in general.\n question: can you move a queen like a knight?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Promotion is a chess rule that requires a pawn that reaches its eighth rank to be immediately replaced by the player's choice of a queen, knight, rook, or bishop of the same color . The new piece replaces the pawn, as part of the same move. The choice of new piece is not limited to pieces previously captured , thus promotion can result in a player owning, for example, two or more queens despite starting the game with one. Pawn promotion, or the threat of it, often decides the result in an endgame. Since the queen is the most powerful piece, the vast majority of promotions are to a queen. Promotion to a queen is often called queening; promotion to any other piece is referred to as underpromotion (Golombek 1977).\n question: can you exchange a pawn for a second queen?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The Hawaiian Islands (Hawaiian: Mokupuni o Hawai'i) are an archipelago of eight major islands, several atolls, numerous smaller islets, and seamounts in the North Pacific Ocean, extending some 1,500 miles (2,400 kilometers) from the island of Hawaiʻi in the south to northernmost Kure Atoll. Formerly the group was known to Europeans and Americans as the ``Sandwich Islands'', a name chosen by James Cook in honor of the then First Lord of the Admiralty John Montagu, 4th Earl of Sandwich. The contemporary name is derived from the name of the largest island, Hawaii Island.\n question: did hawaii used to be called the sandwich islands?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The legal status of Hawaii--as opposed to its political status--is a settled legal matter but there has been scholarly and legal debate. While Hawaii is internationally recognized as a state of the United States of America while also being broadly accepted as such in mainstream understanding, there have been essays written denying the legality of this status. The argument is that Hawaii is an independent nation under military occupation. The legality of control of Hawaii by the United States has also been raised in the losing side in cases in the U.S. Supreme Court, and in U.S. District Court.\n question: is the nation of hawaii part of the united states?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Hawaii (/həˈwaɪ.i/ ( listen) hə-WY-ee; Hawaiian: Hawaiʻi (həˈvɐjʔi)) is the 50th and most recent state to have joined the United States, having received statehood on August 21, 1959. Hawaii is the only U.S. state located in Oceania and the only one composed entirely of islands. It is the northernmost island group in Polynesia, occupying most of an archipelago in the central Pacific Ocean. Hawaii is the only U.S. state located outside North America.\n question: is hawaii part of the north american continent?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Every state except Nebraska has a bicameral legislature, meaning that the legislature consists of two separate legislative chambers or houses. In each case the smaller chamber is called the Senate and is usually referred to as the upper house. This chamber typically, but not always, has the exclusive power to confirm appointments made by the governor and to try articles of impeachment. (In a few states, a separate Executive Council, composed of members elected from large districts, performs the confirmation function.) Members of the smaller chamber represent more citizens and usually serve for longer terms than members of the larger chamber, generally four years. In 41 states, the larger chamber is called the House of Representatives. Five states designate the larger chamber the Assembly and three states call it the House of Delegates. Members of the larger chamber usually serve for terms of two years. The larger chamber customarily has the exclusive power to initiate taxing legislation and articles of impeachment.\n question: does each state have a house and senate?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: A legislator (or lawmaker) is a person who writes and passes laws, especially someone who is a member of a legislature. Legislators are usually politicians and are often elected by the people of the state. Legislatures may be supra-national (for example, the European Parliament), national (for example, the United States Congress), regional (for example, the National Assembly for Wales), or local (for example, local authorities).\n question: is a legislator the same as a senator?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Elections to the Senate are held on the first Tuesday after the first Monday in November in even-numbered years, Election Day, and coincide with elections for the House of Representatives. Senators are elected by their state as a whole. The Elections Clause of the United States Constitution grants each state (and Congress, if it so desires to implement a uniform law) the power to legislate a method by which senators are elected. Ballot access rules for independent and minor party candidates also vary from state to state.\n question: does the whole state vote for both senators?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: All bilaterians have a gastrointestinal tract, also called a gut or an alimentary canal. This is a tube that transfers food to the organs of digestion. In large bilaterians, the gastrointestinal tract generally also has an exit, the anus, by which the animal disposes of feces (solid wastes). Some small bilaterians have no anus and dispose of solid wastes by other means (for example, through the mouth). The human gastrointestinal tract consists of the esophagus, stomach, and intestines, and is divided into the upper and lower gastrointestinal tracts. The GI tract includes all structures between the mouth and the anus, forming a continuous passageway that includes the main organs of digestion, namely, the stomach, small intestine, and large intestine. However, the complete human digestive system is made up of the gastrointestinal tract plus the accessory organs of digestion (the tongue, salivary glands, pancreas, liver and gallbladder). The tract may also be divided into foregut, midgut, and hindgut, reflecting the embryological origin of each segment. The whole human GI tract is about nine metres (30 feet) long at autopsy. It is considerably shorter in the living body because the intestines, which are tubes of smooth muscle tissue, maintain constant muscle tone in a halfway-tense state but can relax in spots to allow for local distention and peristalsis.\n question: is the liver part of the gi system?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The lower gastrointestinal tract includes most of the small intestine and all of the large intestine. In human anatomy, the intestine (bowel, or gut. Greek: éntera) is the segment of the gastrointestinal tract extending from the pyloric sphincter of the stomach to the anus and, as in other mammals, consists of two segments, the small intestine and the large intestine. In humans, the small intestine is further subdivided into the duodenum, jejunum and ileum while the large intestine is subdivided into the, cecum, ascending, transverse, descending and sigmoid colon, rectum, and anal canal.\n question: is the small intestine part of the upper gi tract?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The gastrointestinal tract (digestive tract, digestional tract, GI tract, GIT, gut, or alimentary canal) is an organ system within humans and other animals which takes in food, digests it to extract and absorb energy and nutrients, and expels the remaining waste as feces. The mouth, esophagus, stomach and intestines are part of the gastrointestinal tract. Gastrointestinal is an adjective meaning of or pertaining to the stomach and intestines. A tract is a collection of related anatomic structures or a series of connected body organs.\n question: is the mouth part of the gi tract?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The second season of the American television series Star Trek: Discovery is set roughly a decade before the events of the original Star Trek series and follows the crew of the USS Discovery. The season will be produced by CBS Television Studios in association with Secret Hideout, Roddenberry Entertainment, and Living Dead Guy Productions, with Alex Kurtzman serving as showrunner.\n question: will there be a second season of discovery?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Star Trek: Discovery is an American television series created for CBS All Access by Bryan Fuller and Alex Kurtzman. It is the first series developed specifically for that service, and the first Star Trek series since Star Trek: Enterprise concluded in 2005. Set roughly a decade before the events of the original Star Trek series and separate from the timeline of the concurrently produced feature films, Discovery explores the Federation--Klingon war while following the crew of the USS Discovery. Gretchen J. Berg and Aaron Harberts serve as showrunners on the series, with producing support from Akiva Goldsman.\n question: is there a new star trek series coming?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Will is an American drama television series about the (fictional) life of William Shakespeare in his early 20s. The series was ordered for a first season containing 10 episodes, on May 18, 2016, and premiered on TNT on July 10, 2017. It was originally ordered to series at Pivot in 2013, but was never broadcast. The series premiered at 9:00 pm EST, but after four weeks, was moved to 11:00 pm. On September 5, 2017, Will was canceled after one season by TNT.\n question: will there be a second season of will on tnt?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The guinea pig or domestic guinea pig (Cavia porcellus), also known as cavy or domestic cavy, is a species of rodent belonging to the family Caviidae and the genus Cavia. Despite their common name, these animals are not in the pig family Suidae, nor do they come from Guinea in Africa; they originated in the Andes of South America and studies based on biochemistry and hybridization suggest they are domestic, not wild, descendants of a closely related species of cavy such as C. tschudii.\n question: do guinea pigs come from papua new guinea?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Miniature pig (also micro-pig, teacup pig, Michelle Davila, etc.) is an erroneous term that is used to refer to small breeds of domestic pig, such as Pot-bellied pigs, Göttingen minipigs, Juliana pigs, Choctaw Hogs, or Kunekune (and specimens derived by cross-breeding with these). Notable features of most miniature pigs distinguishing them from other pigs may be defined by their possession of small, perked-back ears, a potbelly, sway back, chubby figure, rounded head, short snout, legs, and neck, and a short tail with thick hair at the end. Typically, most breeds of mini pigs will range from the minimum weight of 75 pounds (34 kg) to 200 pounds (91 kg).\n question: is there such a thing as a miniature pig?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Miniature pig (also micro-pig, teacup pig, etc.) is an erroneous term that is used to refer to small breeds of domestic pig, such as Pot-bellied pigs, Göttingen minipigs, Juliana pigs, Choctaw Hogs, or Kunekune (and specimens derived by cross-breeding with these). Notable features of most miniature pigs distinguishing them from other pigs may be defined by their possession of small, perked-back ears, a potbelly, sway back, chubby figure, rounded head, short snout, legs, and neck, and a short tail with thick hair at the end. Typically, most breeds of mini pigs will range from the minimum weight of 50 pounds (23 kg) to 200 pounds (91 kg).\n question: is there any such thing as a mini pig?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Vicia faba, also known as the broad bean, fava bean, faba bean, field bean, bell bean, or tic bean, is a species of flowering plant in the pea and bean family Fabaceae. It is of uncertain origin and widely cultivated as a crop. Horse bean, Vicia faba var. equina Pers., is a variety recognized as an accepted name.\n question: are fava beans and broad beans the same thing?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Green beans are the unripe, young fruit and protective pods of various cultivars of the common bean (Phaseolus vulgaris). Immature or young pods of the runner bean (Phaseolus coccineus), yardlong bean (Vigna unguiculata subsp. sesquipedalis), and hyacinth bean (Lablab purpureus) are used in a similar way. Green beans are known by many common names, including French beans, string beans, snap beans, and snaps.\n question: are green beans the same as french beans?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The navy bean, haricot, pearl haricot bean, boston bean, white pea bean, or pea bean, is a variety of the common bean (Phaseolus vulgaris) native to the Americas, where it was domesticated. It is a small, dry white bean which is smaller than many other types of white beans, and has an oval, slightly flattened shape. It features in such dishes as baked beans, and even pies, as well as in various soups such as Senate bean soup.\n question: are navy beans the same as black beans?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Chia Pets are American styled terracotta figurines used to sprout chia, where the chia sprouts grow within a couple of weeks to resemble the animal's fur or hair. Moistened seeds of chia (Salvia hispanica) are applied to the grooved terra cotta figurine body.\n question: are chia seeds and chia pets the same?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: In 1993, Tomy, who had been distributing the toys worldwide, lost the rights to the name ``Sylvanian Families'' in Canada and the USA. Tomy reintroduced the line under the new name Calico Critters of Cloverleaf Corners, now simply just called Calico Critters.\n question: are sylvanian families and calico critters the same?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Many of the varieties that have been cultivated for ornamental use produce small, unpalatable fruit. Edible cherries generally come from cultivars of the related species Prunus avium and Prunus cerasus.\n question: are cherry blossom trees the same as cherry trees?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Canarian Spanish (Spanish: español de las Canarias, español canario, habla canaria, isleño, dialecto canario or vernacular canario) is a variant of standard Spanish spoken in the Canary Islands by the Canarian people. The variant is similar to the Andalusian Spanish variety spoken in Western Andalusia and (especially) to Caribbean Spanish and other Hispanic American Spanish vernaculars because of Canarian emigration to the Caribbean and Hispanic America over the years.\n question: do they speak spanish in the canary islands?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Portuguese and Spanish, although closely related sister languages, differ in many details of their phonology, grammar, and lexicon. Both are part of a broader group known as West Iberian Romance, which also includes several other languages or dialects with fewer speakers, all of which are mutually intelligible to some degree.\n question: is there a difference between spanish and portuguese language?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Portuguese is the majority language of South America, by a small margin. Spanish, with slightly fewer speakers than Portuguese, is the second most spoken language on the continent.\n question: do all countries in south america speak spanish?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The Tampa Bay Lightning are a professional ice hockey team based in Tampa, Florida. It is a member of the Atlantic Division of the Eastern Conference of the National Hockey League (NHL). The Lightning have one Stanley Cup championship in their history, in 2003--04. The team is often referred to as the Bolts, and the nickname was used on the former third jerseys. The Lightning plays home games in Amalie Arena in Tampa.\n question: did tampa bay ever win the stanley cup?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The Tampa Bay Lightning are a professional ice hockey team based in Tampa, Florida. It is a member of the Atlantic Division of the Eastern Conference of the National Hockey League (NHL). The Lightning have one Stanley Cup championship in their history, in 2003--04. The team is often referred to as the Bolts, and the nickname is used on the current third jersey. The Lightning plays home games in the Amalie Arena in Tampa.\n question: did the tampa bay lightning ever win the stanley cup?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The club was founded in 1998 when the NHL granted an expansion franchise to Craig Leipold. After five seasons, the Predators qualified for their first Stanley Cup playoffs during the 2003--04 season. In 2008, ownership of the club was transferred from Leipold to a locally based ownership group. The Predators advanced to their first Stanley Cup Finals in 2017, but were defeated by the Pittsburgh Penguins in six games. In the following season, the Predators won their first Presidents' Trophy and Central Division title.\n question: have the nashville predators won the stanley cup?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: A motor vehicle in a public place is potentially a dangerous and lethal instrument. Even when it is without its engine or without petrol, if it is moved down on an incline, even unintentionally, it can cause considerable damage and human injury. Hence, unlike other properties which may be insured or not at the option of the owner, a motor vehicle is required by law to be insured in respect of the user's liability for death, bodily injury or damage to property of third party. These kinds of insurance contracts are based on indemnity and only cover the damage, and the whole insurance amount is not given every time. As sometimes the driver of the vehicle is often a person of small means and injured person goes without adequate compensation, insurance of motor vehicle covering the third party risk is made compulsory in India and the Motor Vehicles Act provides that, vehicle should not be used in public place without having insurance policy covering third party risks. Third party risk means risk covered for bodily injury, death and damage of property of third party. Third party means any person except owner or passenger in the private vehicle. So pillion rider of the motor cycle, passengers in private cars, jeeps etc. are not third party. However, passengers in public vehicle such as bus. contract carriage vehicle, taxi etc. are also third party and hence covered by third party or statutory policy.\n question: is it mandatory to have insurance on a motorcycle in india?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Universal life insurance (often shortened to UL) is a type of cash value life insurance, sold primarily in the United States of America. Under the terms of the policy, the excess of premium payments above the current cost of insurance is credited to the cash value of the policy. The cash value is credited each month with interest, and the policy is debited each month by a cost of insurance (COI) charge, as well as any other policy charges and fees drawn from the cash value, even if no premium payment is made that month. Interest credited to the account is determined by the insurer, but has a contractual minimum rate (often 2%). When an earnings rate is pegged to a financial index such as a stock, bond or other interest rate index, the policy is an ``Indexed Universal Life'' contract. These types of policies offer the advantage of guaranteed level premiums throughout the insured's lifetime at substantially lower premium cost than an equivalent whole life policy at first; the cost of insurance is always increasing as found on the cost index table (usually p. 3 of a contract). This not only allows for easy comparison of costs between carriers, but also works well in irrevocable life insurance trusts (ILIT's) since cash is of no consequence.\n question: does a universal life policy have cash value?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Australia was the first country to enact mandatory bicycle helmet use for all cyclists. Mexico City has had mandatory cycle helmet laws repealed, and in Italy the Federazione Italiana Amici della Bicicletta managed to block a proposed helmet law. While bicycle helmets are not required to be worn by law in the United Kingdom the British Medical Association advocates the compulsory use of helmets. Cyclists' Touring Club, the largest cycling advocacy organisation in the UK, consider helmet wearing as personal choice rather than being mandated by legislation. In 2002 an attempt was made to introduce bicycle helmet legislation in Poland but it was opposed by cyclists' organisations.\n question: is it the law to wear a bicycle helmet in uk?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: In-N-Out Burger is an American regional chain of fast food restaurants with locations primarily in the American Southwest and Pacific coast. It was founded in Baldwin Park, California in 1948 by Harry Snyder and Esther Snyder. The chain is currently headquartered in Irvine, California and has slowly expanded outside Southern California into the rest of California, as well as into Arizona, Nevada, Utah, Texas, and Oregon. The current owner is Lynsi Snyder, the Snyders' only grandchild.\n question: are there in and out burgers in ohio?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: In-N-Out Burger is an American regional chain of fast food restaurants with locations primarily in the American Southwest and Pacific coast. It was founded in Baldwin Park, California in 1948 by Harry Snyder and Esther Snyder. The chain is currently headquartered in Irvine, California and has slowly expanded outside Southern California into the rest of California, as well as into Arizona, Nevada, Utah, Texas, and Oregon. The current owner is Lynsi Snyder, the Snyders' only grandchild.\n question: is there an in and out burger in maryland?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: In-N-Out Burger is an American regional chain of fast food restaurants with locations primarily in the American Southwest and Pacific coast. It was founded in Baldwin Park, California in 1948 by Harry Snyder and Esther Snyder. The chain is currently headquartered in Irvine, California and has slowly expanded outside Southern California into the rest of California, as well as into Arizona, Nevada, Utah, Texas, and Oregon. The current owner is Lynsi Snyder, the Snyders' only grandchild.\n question: is there an in n out in nevada?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Scratch hardness is the measure of how resistant a sample is to fracture or permanent plastic deformation due to friction from a sharp object. The principle is that an object made of a harder material will scratch an object made of a softer material. When testing coatings, scratch hardness refers to the force necessary to cut through the film to the substrate. The most common test is Mohs scale, which is used in mineralogy. One tool to make this measurement is the sclerometer.\n question: can a soft material scratch a hard material?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: In the Standard Model of modern physics, the four fundamental forces of nature are known to be non-contact forces. The strong and weak interaction primarily deal with forces within atoms, while gravitational effects are only obvious on an ultra-macroscopic scale. Molecular and quantum physics show that the electromagnetic force is the fundamental interaction responsible for contact forces. The interaction between macroscopic objects can be roughly described as resulting from the electromagnetic interactions between protons and electrons of the atomic constituents of these objects. Everyday objects do not actually touch; rather, contact forces are the result of the interactions of the electrons at or near the surfaces of the objects.\n question: does the concept of a contact force apply to both a macroscopic scale and an atomic scale?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Numerous niche applications exploit the intense color of MG. It is used as a biological stain for microscopic analysis of cell biology and tissue samples. In the Gimenez staining method, basic fuchsin stains bacteria red or magenta, and malachite green is used as a blue-green counterstain. Malachite green is also used in endospore staining, since it can directly stain endospores within bacterial cells; here a safranin counterstain is often used. Malachite green can also be used as a saturable absorber in dye lasers, or as a pH indicator between pH 0.2--1.8. However, this use is relatively rare. Leuco-malachite green (LMG) is used as a detection method for latent blood in forensic science. Hemoglobin catalyzes the reaction between LMG and hydrogen peroxide, converting the colorless LMG into malachite green. Therefore, the appearance of a green color indicates the presence of blood.\n question: can malachite green be used as a counterstain?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The basal ganglia (or basal nuclei) is a group of subcortical nuclei, of varied origin, in the brains of vertebrates including humans, which are situated at the base of the forebrain. Basal ganglia are strongly interconnected with the cerebral cortex, thalamus, and brainstem, as well as several other brain areas. The basal ganglia are associated with a variety of functions including: control of voluntary motor movements, procedural learning, routine behaviors or ``habits'' such as teeth grinding, eye movements, cognition, and emotion.\n question: is the thalamus part of the basal ganglia?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The autonomic nervous system controls involuntary responses to regulate physiological functions. The brain and spinal cord from the central nervous system are connected with organs that have smooth muscle, such as the heart, bladder, and other cardiac, exocrine, and endocrine related organs, by ganglionic neurons. The most notable physiological effects from autonomic activity are pupil constriction and dilation, and salivation of saliva. The autonomic nervous system is always activated, but is either in the sympathetic or parasympathetic state. Depending on the situation, one state can overshadow the other, resulting in a release of different kinds of neurotransmitters. There is a lesser known division of the autonomic nervous system known as the enteric nervous system. Located only around the digestive tract, this system allows for local control without input from the sympathetic or the parasympathetic branches, though it can still receive and respond to signals from the rest of the body. The enteric system is responsible for various functions related to gastrointestinal system.\n question: is the heart part of the central nervous system?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The limbic system is a set of brain structures located on both sides of the thalamus, immediately beneath the cerebrum. It has also been referred to as the paleomammalian cortex. It is not a separate system but a collection of structures from the telencephalon, diencephalon, and mesencephalon. It includes the olfactory bulbs, hippocampus, hypothalamus, amygdala, anterior thalamic nuclei, fornix, columns of fornix, mammillary body, septum pellucidum, habenular commissure, cingulate gyrus, parahippocampal gyrus, entorhinal cortex, and limbic midbrain areas.\n question: is the hippocampus located in the limbic system?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Through the 2017 season, the franchise has finished with a losing record in 28 of 41 seasons. The Mariners are one of seven Major League Baseball teams who have never won a World Series championship, and one of two (along with the Washington Nationals) never to have played in a World Series. With the National Football League's Buffalo Bills ending their 17-year playoff drought on December 31, 2017, the Mariners now hold the longest playoff drought in all of the four major North American professional sports, having not qualified for the playoffs since 2001.\n question: have the seattle mariners been to the world series?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The Seattle Mariners and the Washington Nationals (formerly Montreal Expos) are the only current Major League Baseball franchises to have never appeared in a World Series; the San Diego Padres, Colorado Rockies, Texas Rangers (formerly the 1961--1971 version of the Washington Senators), Tampa Bay Rays, and Milwaukee Brewers (formerly Seattle Pilots) have all played in the Series but have never won. The Toronto Blue Jays are the only franchise from outside the United States to appear in a World Series, winning in 1992 and 1993. The Houston Astros have represented both the NL (2005) and the AL (2017), winning the Series in 2017. The current World Series champions are the Boston Red Sox.\n question: has any team not won the world series?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: All 16 of the original Major League franchises (i.e., those in place when the first World Series was played in 1903) have won the World Series, with the longest wait for a franchise's first championship being for the Phillies (77 years, ending in 1980). Since expansion began in 1961, seven of the 14 expansion teams have never won the World Series. Further, one franchise (the Indians) has a current championship drought that pre-dates the expansion era. The three longest championship droughts in history were ended recently by the Red Sox (85 years, ending in 2004), the White Sox (87 years, ending in 2005), and the Cubs (107 years, ending in 2016). Discounting the 33 years in which there was no MLB franchise in Washington, there have been 60 seasons played in Washington since their last World Series championship (in 1924).\n question: is there any mlb team that hasn't won the world series?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Outside Canada, the rights to the A&W brand are owned by Dr Pepper Snapple Group, which in turn licenses the brand to the similarly named U.S.-based restaurant chain; A&W products are distributed via various U.S. bottlers. A&W Food Services of Canada, which is independent of both DPSG and the U.S. chain, is responsible for the restaurants and the marketing of root beer products in that country, with retail products bottled and distributed by The Coca-Cola Company. The U.S. variant is also sold as an import drink in Southeast Asia and Italy (where A&W has restaurants), as well as Australia, the United Kingdom, and Chile, among other countries.\n question: is a&w root beer a 7 up product?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Canada Dry is a brand of soft drinks owned since 2008 by the American Keurig Dr Pepper. For over a century, Canada Dry has been known for its ginger ale, though the company also manufactures a number of other soft drinks and mixers. Although Canada Dry originated in Canada, it is now produced in many countries around the globe, including the United States, Mexico, Colombia, Peru, Japan, & a number of countries of the Middle East & Europe.\n question: is canada dry ginger ale made in canada?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Barq's /ˈbɑːrks/ is an American soft drink. Its brand of root beer is notable for having caffeine. Barq's, created by Edward Barq and bottled since the turn of the 20th century, is owned by the Barq family but bottled by the Coca-Cola Company. It was known as Barq's Famous Olde Tyme Root Beer until 2012.\n question: is there caffeine in root beer barq's?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The court also has jurisdiction over appeals in criminal matters from superior court, except for cases in which a death sentence has been imposed. Death penalty cases go directly to the Supreme Court of Arizona.\n question: does the arizona court of appeals hear death penalty cases?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Capital punishment for juveniles in the United States existed until March 1, 2005, when the U.S. Supreme Court banned it in Roper v. Simmons.\n question: can juveniles be sentenced to death in texas?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Capital punishment is a legal penalty in the U.S. state of Kansas but it is rarely used.\n question: does the state of kansas have the death penalty?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: There are perhaps three hundred sign languages in use around the world today. The number is not known with any confidence; new sign languages emerge frequently through creolization and de novo (and occasionally through language planning). In some countries, such as Sri Lanka and Tanzania, each school for the deaf may have a separate language, known only to its students and sometimes denied by the school; on the other hand, countries may share sign languages, though sometimes under different names (Croatian and Serbian, Indian and Pakistani). Deaf sign languages also arise outside educational institutions, especially in village communities with high levels of congenital deafness, but there are significant sign languages developed for the hearing as well, such as the speech-taboo languages used in aboriginal Australia. Scholars are doing field surveys to identify the world's sign languages.\n question: does every country have their own sign language?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: There are perhaps three hundred sign languages in use around the world today. The number is not known with any confidence; new sign languages emerge frequently through creolization and de novo (and occasionally through language planning). In some countries, such as Sri Lanka and Tanzania, each school for the deaf may have a separate language, known only to its students and sometimes denied by the school; on the other hand, countries may share sign languages, though sometimes under different names (Croatian and Serbian, Indian and Pakistani). Deaf sign languages also arise outside educational institutions, especially in village communities with high levels of congenital deafness, but there are significant sign languages developed for the hearing as well, such as the speech-taboo languages used in aboriginal Australia. Scholars are doing field surveys to identify the world's sign languages.\n question: is sign language the same in every country?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: There are perhaps three hundred sign languages in use around the world today. The number is not known with any confidence; new sign languages emerge frequently through creolization and de novo (and occasionally through language planning). In some countries, such as Sri Lanka and Tanzania, each school for the deaf may have a separate language, known only to its students and sometimes denied by the school; on the other hand, countries may share sign languages, though sometimes under different names (Croatian and Serbian, Indian and Pakistani). Deaf sign languages also arise outside educational institutions, especially in village communities with high levels of congenital deafness, but there are significant sign languages developed for the hearing as well, such as the speech-taboo languages used in aboriginal Australia. Scholars are doing field surveys to identify the world's sign languages.\n question: do other countries have their own sign language?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Quantico has received positive reviews from critics, with praise for Chopra's performance and the diversity of the cast. However, the ``confusing dual timelines'' received some criticism. The series has been nominated for four People's Choice Awards, with Chopra winning two: Favorite Actress in a New TV Series in 2016--making her the first South Asian to win a People's Choice Award--and Favorite Dramatic TV Actress in 2017. ABC renewed the series for a third season, which premiered on April 26, 2018. As part of the renewal process, Safran was replaced as primary showrunner by Michael Seitzman. On May 11, 2018, ABC cancelled the show after three seasons. The network will air the remaining episodes of the third season on Friday nights.\n question: what season of quantico is on tv now?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The fifth season began airing on December 1, 2017, and ran for 22 episodes on ABC until May 18, 2018. The two-part premiere debuted to 2.54 million viewers, marking the lowest-rated season premiere of the series. Despite consistently low viewership, critical reception of the season was positive, with many commending the series for its ambition, in particular praising the futuristic space setting during its first half and exploration of time travel. Critics also praised the performances, character development and writing. The series was renewed for a sixth season on May 14, 2018.\n question: is season 5 the last season of agents of shield?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: On October 4, 2013, NBC ordered nine additional episodes, filling out the series' first season. On December 3, 2013, NBC renewed the series for a 22-episode second season. On May 11, 2014, owing to the series' breakout success, NBC decided to air an episode in the coveted post--Super Bowl timeslot in 2015. On December 5, 2015, the series was renewed for a fourth season, which premiered on September 22, 2016. A spin-off series, The Blacklist: Redemption, premiered on February 23, 2017. On May 11, 2017, the series was renewed for a fifth season, while the spin-off was canceled the following day. The fifth season premiered on September 27, 2017. On May 12, 2018, the series was renewed for a sixth season.\n question: are they making a season 6 of the blacklist?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: In season four, Laurel resurrects Sara using the League's mystical Lazarus Pit. The process is successful, but Sara is brought back to life without a soul, making her feral and dangerous. Oliver calls his old friend John Constantine to assist them in restoring Sara's soul. Days later, Sara aids in rescuing Ray Palmer/The Atom from the hands of Damien Darhk, before leaving town to find herself, eventually joining the Legends along with Ray. During her time away with the Legends, Laurel is killed by Darhk and she is later made aware of it by Quentin when she briefly returns to present-day Star City at the end of season one of Legends of Tomorrow, where she and Quentin mourn her together.\n question: when does sara come back from the dead?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The Arrowverse is an American media franchise and shared fictional universe that is centered on various television series airing on The CW and web series airing on CW Seed, developed by Greg Berlanti, Marc Guggenheim, Andrew Kreisberg, Ali Adler, Phil Klemmer, and Geoff Johns, based on characters appearing in publications by DC Comics. The shared universe, much like the DC Universe in comic books, was established by crossing over common plot elements, settings, cast, and characters. The Arrowverse stars Stephen Amell as Oliver Queen / Green Arrow, Grant Gustin as Barry Allen / Flash, Melissa Benoist as Kara Danvers / Supergirl, Megalyn Echikunwoke as Mari Jiwe McCabe / Vixen, with an ensemble cast leading Legends of Tomorrow, including Arthur Darvill as Rip Hunter, Caity Lotz as Sara Lance / White Canary, Brandon Routh as Ray Palmer / Atom, Dominic Purcell as Mick Rory / Heat Wave, with Victor Garber and Franz Drameh as Martin Stein & Jefferson ``Jax'' Jackson / Firestorm. Russell Tovey stars as Ray Terrill / The Ray.\n question: are flash arrow and supergirl in the same universe?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: DC's Legends of Tomorrow, or simply Legends of Tomorrow, is an American superhero television series developed by Greg Berlanti, Marc Guggenheim, Andrew Kreisberg, and Phil Klemmer, who are also executive producers along with Sarah Schechter and Chris Fedak; Klemmer and Fedak serve as showrunners. The series, based on the characters of DC Comics, airs on The CW and is a spin-off featuring characters introduced in Arrow and The Flash along with new characters, set in the Arrowverse, the same fictional universe. The series premiered in January 2016. Legends of Tomorrow was renewed for a fourth season in April 2018, which is set to premiere on October 22, 2018.\n question: is dc legends of tomorrow based on a comic?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: State level laws vary significantly in their form, content, and level of restriction. Forty-four states have a provision in their state constitutions similar to the Second Amendment to the U.S. Constitution, which protects the right to keep and bear arms. The exceptions are California, Iowa, Maryland, Minnesota, New Jersey, and New York. In New York, however, the statutory civil rights laws contain a provision virtually identical to the Second Amendment. Additionally, the U.S. Supreme Court held in McDonald v. Chicago that the protections of the Second Amendment to keep and bear arms for self-defense in one's home apply against state governments and their political subdivisions.\n question: is it illegal to have a gun in your home?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Firearm owners are subject to the firearm laws of the state they are in, and not exclusively their state of residence. Reciprocity between states exists in certain situations, such as with regard to concealed carry permits. These are recognized on a state-by-state basis. For example, Idaho recognizes an Oregon permit, but Oregon does not recognize an Idaho permit. Florida issues a license to carry both concealed weapons and firearms, but others license only the concealed carry of firearms. Some states do not recognize out-of-state permits to carry a firearm at all, so it is important to understand the laws of each state when traveling with a handgun.\n question: is there a gun permit for all states?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: State level laws vary significantly in their form, content, and level of restriction. Forty-four states have a provision in their state constitutions similar to the Second Amendment to the U.S. Constitution, which protects the right to keep and bear arms. The exceptions are California, Iowa, Maryland, Minnesota, New Jersey, and New York. In New York, however, the statutory civil rights laws contain a provision virtually identical to the Second Amendment. Additionally, the U.S. Supreme Court held in McDonald v. Chicago that the protections of the Second Amendment to keep and bear arms for self-defense in one's home apply against state governments and their political subdivisions.\n question: is it legal to have a gun in your house?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The University of Delhi, informally known as Delhi University (DU), is a collegiate public central university, located in New Delhi, India. It was founded in 1922 by an Act of the Central Legislative Assembly. As a collegiate university, its main functions are divided between the academic departments of the university and affiliated colleges. Consisting of three colleges, two faculties, and 750 students at its founding, the University of Delhi has since become India's largest institution of higher learning and among the largest in the world. The university currently consists of 16 faculties and 86 departments distributed across its North and South campuses. It has 77 affiliated colleges and 5 other institutes with an enrollment of over 132,000 regular students and 261,000 non-formal students. The Vice-President of India serves as the University's chancellor. Rajat Chaudhary has now become the President of the University of Delhi after Rocky Tuseer was dismissed on the High Court's order.\n question: is delhi university and university of delhi same?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The University of Lahore (Urdu: جامعہ لاہور‬‎) or UOL is a private university located in Lahore, Punjab, Pakistan. It was founded at collegiate level in 1999 under the IBADAT Educational Trust and was granted full degree awarding status in 2002. It is one of the Largest Private universities in Pakistan. Subjects include Medicine, Engineering, Arts and Social Sciences. All programs are recognized by the Higher Education Commission (HEC) and government regulatory bodies in Pakistan. It is accredited by the Pakistan Engineering Council (PEC), Pakistan Bar Council, Pakistan Medical and Dental Council (PMDC), Pakistan Nursing Council, Pharmacy Council of Pakistan etc.\n question: is university of lahore islamabad campus recognized by hec?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: UCL and King's College, whose campaign for a teaching university in London had resulted in the university's reconstitution as a federal institution, went even further than becoming schools of the university and were actually merged into it. UCL's merger, under the 1905 University College London (Transfer) Act, happened in 1907. The charter of 1836 was surrendered and all of UCL's property became the University of London's. King's College followed in 1910 under the 1908 King's College London (Transfer) Act. This was a slightly more complicated case, as the theological department of the college (founded in 1846) did not merge into the university but maintained a separate legal existence under King's College's 1829 charter.\n question: is ucl and university of london the same?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: One often writes G = ( U , V , E ) (\\displaystyle G=(U,V,E)) to denote a bipartite graph whose partition has the parts U (\\displaystyle U) and V (\\displaystyle V) , with E (\\displaystyle E) denoting the edges of the graph. If a bipartite graph is not connected, it may have more than one bipartition; in this case, the ( U , V , E ) (\\displaystyle (U,V,E)) notation is helpful in specifying one particular bipartition that may be of importance in an application. If U = V (\\displaystyle U = V ) , that is, if the two subsets have equal cardinality, then G (\\displaystyle G) is called a balanced bipartite graph. If all vertices on the same side of the bipartition have the same degree, then G (\\displaystyle G) is called biregular.\n question: does a bipartite graph have to be connected?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Logical formulas are discrete structures, as are proofs, which form finite trees or, more generally, directed acyclic graph structures (with each inference step combining one or more premise branches to give a single conclusion). The truth values of logical formulas usually form a finite set, generally restricted to two values: true and false, but logic can also be continuous-valued, e.g., fuzzy logic. Concepts such as infinite proof trees or infinite derivation trees have also been studied, e.g. infinitary logic.\n question: is discrete structures the same as discrete math?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: In geometry, a square is a regular quadrilateral, which means that it has four equal sides and four equal angles (90-degree angles, or (100-gradian angles or right angles). It can also be defined as a rectangle in which two adjacent sides have equal length. A square with vertices ABCD would be denoted ◻ (\\displaystyle \\square ) ABCD.\n question: does a square have to have right angles?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The Palace, despite being 29 years old at its closure, is still in top condition as a sporting and concert venue. However, it is located in a northern suburb, relatively far away from the city center, in light of the growing trend of ``walkable urbanism'' where the Pistons want to grow their fanbase. While there have been no official confirmations as of yet, the Palace is expected to be demolished, where it could be redeveloped to accommodate new auto supplier headquarters and research and development parks.\n question: is the palace of auburn hills still standing?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Stay on Main (formerly Cecil Hotel, Hotel Cecil and informally The Cecil) is a budget hotel in Downtown Los Angeles, located at 640 S. Main Street, opened in 1927. It has 600 guest rooms. The hotel has a checkered history, but is currently being renovated and redeveloped into a mix of hotel rooms and residential units.\n question: is the cecil hotel still open in los angeles?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The building opened in 1885 and was demolished 47 years later in 1931.\n question: is the home insurance building still standing in chicago?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: For example, regardless of license, all New York residents with a concealed carry permit must still obtain a New York State Pistol Permit, apply for a purchase document for each handgun purchased, and may possess only those handguns the license holder has registered with the state.\n question: can you have a concealed weapon in new york city?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The City of New York has its own set of laws, and requires permits to own any long gun or pistol.\n question: can you own guns in new york city?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Restrictions on handgun licenses in New York vary greatly from jurisdiction to jurisdiction. In contrast to ``no carry'' New York City, and some counties which only issue ``to and from target shooting and hunting'' licenses, many upstate counties issue unrestricted pistol licenses that allow unrestricted concealed carry of a loaded handgun (except at schools, court houses or courtrooms, and secure areas of airports).\n question: can you carry a gun in new york city?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The Chicago Cubs are an American professional baseball team based in Chicago, Illinois. The Cubs compete in Major League Baseball (MLB) as a member club of the National League (NL) Central division. The team plays its home games at Wrigley Field, located on the city's North Side. The Cubs are one of two major league teams in Chicago; the other, the Chicago White Sox, is a member of the American League (AL) Central division. The Cubs, first known as the White Stockings, were a founding member of the NL in 1876, becoming the Chicago Cubs in 1903.\n question: are the chicago cubs in the national league?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The Charlotte Knights are a professional Minor League Baseball team in Charlotte, North Carolina. The team, which plays in the International League, is the Triple-A affiliate of the Chicago White Sox of the American League. The Knights play at BB&T Ballpark located in Uptown Charlotte.\n question: does charlotte nc have a minor league baseball team?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The Cubs--White Sox rivalry (also known as the Crosstown Classic, The Windy City Showdown, Chicago Showdown, Red Line Series, North-South Showdown, Halsted Street Series, City Series, Crosstown Series, Crosstown Cup, or Crosstown Showdown) refers to the Major League Baseball (MLB) geographical rivalry between the Chicago Cubs and the Chicago White Sox. The Cubs are a member club of MLB's National League (NL) Central division, and play their home games at Wrigley Field, located on Chicago's North Side. The White Sox are a member club of MLB's American League (AL) Central division, and play their home games at Guaranteed Rate Field, located on Chicago's South Side.\n question: do the cubs and white sox share a stadium?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: In a closed system, no mass may be transferred in or out of the system boundaries. The system always contains the same amount of matter, but heat and work can be exchanged across the boundary of the system. Whether a system can exchange heat, work, or both is dependent on the property of its boundary.\n question: can work be done in a closed system?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: In thermodynamics, an adiabatic process is one that occurs without transfer of heat or matter between a thermodynamic system and its surroundings. In an adiabatic process, energy is transferred to its surroundings only as work. The adiabatic process provides a rigorous conceptual basis for the theory used to expound the first law of thermodynamics, and as such it is a key concept in thermodynamics.\n question: is there work done in an adiabatic process?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: So long as temperature remains constant the same amount of energy given to the system persists throughout its operation and therefore, theoretically, the value of k will remain constant. However, due to the derivation of pressure as perpendicular applied force and the probabilistic likelihood of collisions with other particles through collision theory, the application of force to a surface may not be infinitely constant for such values of v, but will have a limit when differentiating such values over a given time. Forcing the volume V of the fixed quantity of gas to increase, keeping the gas at the initially measured temperature, the pressure p must decrease proportionally. Conversely, reducing the volume of the gas increases the pressure. Boyle's law is used to predict the result of introducing a change, in volume and pressure only, to the initial state of a fixed quantity of gas.\n question: if no energy were added to the gas during the expansion could the pressure remain constant?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The United States Department of Homeland Security (DHS) is a cabinet department of the United States federal government with responsibilities in public security, roughly comparable to the interior or home ministries of other countries. Its stated missions involve anti-terrorism, border security, immigration and customs, cyber security, and disaster prevention and management. It was created in response to the September 11 attacks and is the youngest U.S. cabinet department.\n question: is department of homeland security a federal agency?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The Department of Homeland Security was established on November 25, 2002, by the Homeland Security Act of 2002. It was intended to consolidate U.S. executive branch organizations related to ``homeland security'' into a single Cabinet agency. The following 22 agencies were incorporated into the new department:\n question: is homeland security part of the executive branch?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: In fiscal year 2017, it was allocated a net discretionary budget of $40.6 billion. With more than 240,000 employees, DHS is the third largest Cabinet department, after the Departments of Defense and Veterans Affairs. Homeland security policy is coordinated at the White House by the Homeland Security Council. Other agencies with significant homeland security responsibilities include the Departments of Health and Human Services, Justice, and Energy.\n question: is department of homeland security part of dod?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The cohesion-tension theory is a theory of intermolecular attraction that explains the process of water flow upwards (against the force of gravity) through the xylem of plants. It was proposed in 1894 by John Joly and Henry Horatio Dixon. Despite numerous objections, this is the most widely accepted theory for the transport of water through a plant's vascular system based on the classical research of Dixon-Joly (1894), Askenasy (1895), and Dixon (1914,1924).\n question: cohesion tension theory of water transport in plants?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: While Robert Hooke's discovery of cells in 1665 led to the proposal of the Cell Theory, Hooke misled the cell membrane theory that all cells contained a hard cell wall since only plant cells could be observed at the time. Microscopists focused on the cell wall for well over 150 years until advances in microscopy were made. In the early 19th century, cells were recognized as being separate entities, unconnected, and bound by individual cell walls after it was found that plant cells could be separated. This theory extended to include animal cells to suggest a universal mechanism for cell protection and development. By the second half of the 19th century, microscopy was still not advanced enough to make a distinction between cell membranes and cell walls. However, some microscopists correctly identified at this time that while invisible, it could be inferred that cell membranes existed in animal cells due to intracellular movement of components internally but not externally and that membranes weren't the equivalent of a cell wall to plant cell. It was also inferred that cell membranes weren't vital components to all cells. Many refuted the existence of a cell membrane still towards the end of the 19th century. In 1890, an update to the Cell Theory stated that cell membranes existed, but were merely secondary structures. It wasn't until later studies with osmosis and permeability that cell membranes gained more recognition. In 1895, Ernest Overton proposed that cell membranes were made of lipids.\n question: does the animal cell have a cell membrane?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The medullary ascending limb is impermeable to water. Sodium (Na), potassium (K) and chloride (Cl) ions are reabsorbed by active transport. K is passively transported along its concentration gradient through a K leak channel in the apical aspect of the cells, back into the lumen of the ascending limb. This K ``leak'' generates a positive electrochemical potential difference in the lumen. This drives more paracellular reabsorption of Na, as well as other cations such as magnesium (Mg) and importantly calcium Ca due to charge repulsion.\n question: is the thick ascending limb permeable to water?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Remote Play is a feature of Sony video game consoles that allows the PlayStation 3 and PlayStation 4 to transmit its video and audio output to a PlayStation Portable or PlayStation Vita. Similar functionality is provided on Nintendo's Wii U console, using the Off-TV Play function. This feature essentially allows compatible home console games to be played on the handheld. In 2014, it was expanded to include the use of PlayStation TV, Xperia smartphones and tablets (Z2 and later), and PlayStation Now. In 2016, it was expanded to Microsoft Windows PCs and macOS.\n question: can you remote play ps3 games on vita?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: This is a list of PlayStation games compatible with all models of PlayStation 3, along with PlayStation 2 games compatible with certain earlier models of PlayStation 3. Initial PlayStation 3 models released in North America, Japan, and Asia contained both the PlayStation 2's CPU and GPU, while subsequent models contained only the GPU, and the PlayStation 2 backwards compatibility with physical discs was removed entirely in later models. However, all PlayStation 3 models can play some PlayStation 1 games via physical discs. This is accomplished entirely via software emulation and does not differ between models.\n question: can you play ps1 and ps2 games on a ps3?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The game was envisioned to take full advantage of the hardware, without the imposition of porting to older platforms like the PlayStation 3. The hardware let developers improve the particle system that lights Delsin's face up while he draws neon power from billboards and add detailed reflections to the game world. The increased memory bandwidth let the team render characters with higher fidelity. They found the PS4's simplified architecture so easy to work with that they were able to reach very high graphical quality even though the hardware was new.\n question: can you play infamous second son on ps3?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: An undergraduate degree (also called first degree, bachelor's degree or simply degree) is a colloquial term for an academic degree taken by a person who has completed undergraduate courses. It is usually offered at an institution of higher education, such as a university. The most common type of this degree is the bachelor's degree, which typically takes at least three or four years to complete. These degrees can be categorised as basic degrees.\n question: is an undergraduate degree the same as a bachelor's degree?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: A Bachelor of General Studies (BGS) is an undergraduate degree offered by many colleges and universities in the Western world. The history of the general studies concept is coeval with that of the medieval European university (where it existed under the formal Latin designation Studium generale).\n question: can you graduate with a general studies degree?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Undergraduate education is the post-secondary education previous to the postgraduate education. It includes all the academic programs up to the level of a bachelor's degree. For example, in the United States, an entry level university student is known as an undergraduate, while students of higher degrees are known as graduates. In some other educational systems and subjects, undergraduate education is post-secondary education up to the level of a master's degree; this is the case for some science courses in Britain and some medicine courses in Europe.\n question: is a high school student considered an undergraduate?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The Houston Livestock Show and Rodeo, also called RodeoHouston or abbreviated HLSR, is the largest livestock exhibitions and rodeo in the world. It also includes one of the richest regular-season rodeo events. It has been held at NRG Stadium in Houston, Texas, since 2003. It was previously held in the Astrodome. It is considered to be the city's ``signature event'', much like New Orleans's Mardi Gras, Dallas's Texas State Fair, San Diego's Comic-Con and New York City's New Year's Eve at Times Square.\n question: is the houston rodeo the largest in the world?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The Dubai Mall (Arabic: دبي مول‎ ``Dubai Mall'') is a shopping mall in Dubai and the largest mall in the world by total area. It is the 21st largest shopping mall in the world by gross leasable area. Located in Dubai, United Arab Emirates, it is part of the 20-billion-dollar Downtown complex, and includes 1,200 shops. In 2011 it was the most visited building on the planet, attracting over 54 million visitors each year. Access to the mall is provided via Doha Street, rebuilt as a double-decker road in April 2009.\n question: is dubai mall the largest in the world?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Chicago (/ʃɪˈkɑːɡoʊ/ ( listen), locally also /-ˈkɔː-/), officially the City of Chicago, is the third most populous city in the United States, after New York City and Los Angeles. With over 2.7 million residents, it is also the most populous city in both the state of Illinois and the Midwestern United States. It is the county seat of Cook County. The Chicago metropolitan area, often referred to as Chicagoland, has nearly 10 million people and is the third-largest in the United States. It is the birthplace of the skyscraper and perhaps the most influential architectural city of the 20th century. Chicago saw the creation of the first standardized futures contracts at the Chicago Board of Trade; today its successor has evolved into the largest and most diverse derivatives market in the world, generating 20% of all volume in commodities and financial futures.\n question: is chicago the biggest city in the world?" ] ]
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[ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: ``Copper carbonate'' was the first compound to be broken down into several compounds: in 1794 by the French chemist Joseph Louis Proust (1754--1826) thermally decomposed it to CO and CuO, cupric oxide, a black solid.\n question: copper carbonate on heating gives a black residue of copper oxide?" ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: Carbon (from Latin: carbo ``coal'') is a chemical element with symbol C and atomic number 6. It is nonmetallic and tetravalent--making four electrons available to form covalent chemical bonds. It belongs to group 14 of the periodic table. Three isotopes occur naturally, C and C being stable, while C is a radionuclide, decaying with a half-life of about 5,730 years. Carbon is one of the few elements known since antiquity.\n question: is carbon a metal on the periodic table?" ] ]
[ [ "Represent the example for the following task: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.:", "passage: The first recorded rudimentary steam engine was the aeolipile described by Heron of Alexandria in 1st-century Roman Egypt. Several steam-powered devices were later experimented with or proposed, such as Taqi al-Din's steam jack, a steam turbine in 16th-century Ottoman Egypt, and Thomas Savery's steam pump in 17th-century England. In 1712, Thomas Newcomen's atmospheric engine became the first commercially successful engine using the principle of the piston and cylinder, which was the fundamental type steam engine used until the early 20th century. The steam engine was used to pump water out of coal mines\n question: was the steam engine invented during the renaissance?" ] ]
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