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The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 1 new columns ({'segmentation'})

This happened while the json dataset builder was generating data using

hf://datasets/bop-benchmark/bop_extra/default_detections/core19_model_based_unseen/cnos-fastsam/cnos-fastsam_hb-test_db836947-020a-45bd-8ec5-c95560b68011.json (at revision 7e17a1f618dbc79c227be8761fedc973e2cb445c)

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1870, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2292, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              scene_id: int64
              image_id: int64
              category_id: int64
              bbox: list<item: int64>
                child 0, item: int64
              score: double
              time: double
              segmentation: struct<counts: list<item: int64>, size: list<item: int64>>
                child 0, counts: list<item: int64>
                    child 0, item: int64
                child 1, size: list<item: int64>
                    child 0, item: int64
              -- schema metadata --
              pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 918
              to
              {'scene_id': Value(dtype='int64', id=None), 'image_id': Value(dtype='int64', id=None), 'category_id': Value(dtype='int64', id=None), 'score': Value(dtype='float64', id=None), 'bbox': Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None), 'time': Value(dtype='float64', id=None)}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1415, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 991, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1872, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 1 new columns ({'segmentation'})
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/bop-benchmark/bop_extra/default_detections/core19_model_based_unseen/cnos-fastsam/cnos-fastsam_hb-test_db836947-020a-45bd-8ec5-c95560b68011.json (at revision 7e17a1f618dbc79c227be8761fedc973e2cb445c)
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

scene_id
int64
image_id
int64
category_id
int64
score
float64
bbox
sequence
time
float64
3
0
29
0.952637
[ 325, 211.75, 85, 61.5 ]
0.149428
3
0
19
0.93021
[ 270.75, 163.75, 38.5, 83.75 ]
0.149428
3
0
9
0.790266
[ 279.25, 160.75, 53.5, 49.5 ]
0.149428
3
0
4
0.716137
[ 358, 164.625, 50.5, 57.5 ]
0.149428
3
0
2
0.529051
[ 0.5, 0.5625, 196, 177.4375 ]
0.149428
3
0
16
0.399382
[ 371.25, 164.25, 32.5, 33.75 ]
0.149428
3
0
14
0.372147
[ 183.25, 26.4375, 90.25, 139.8125 ]
0.149428
3
0
16
0.322345
[ 339.25, -0.21875000000000003, 64.5, 54.03125 ]
0.149428
3
0
5
0.267656
[ 356, 177.875, 54, 52.25 ]
0.149428
3
0
15
0.244602
[ 0.0625, 142.125, 38.40625, 89.75 ]
0.149428
3
0
15
0.22653
[ 370.5, 164, 34.5, 36 ]
0.149428
3
0
4
0.209844
[ 366, 163.75, 40.5, 47.5 ]
0.149428
3
0
5
0.171852
[ 363, 164.125, 44, 51 ]
0.149428
3
0
16
0.14693
[ 0.140625, 141.25, 37.296875, 91.25 ]
0.149428
3
0
15
0.127439
[ 338.5, 0, 72, 54.1875 ]
0.149428
3
0
18
0.111632
[ 558.5, 10.90625, 81, 108.34375 ]
0.149428
3
0
22
0.0891
[ 341.75, -0.09375000000000001, 174.75, 85.21875 ]
0.149428
3
0
22
0.088165
[ 337.25, 0.140625, 88.5, 53.921875 ]
0.149428
3
0
16
0.07632
[ 361.5, 164.125, 44.5, 47.75 ]
0.149428
3
0
6
0.061952
[ 316.25, 176, 47.5, 46.25 ]
0.149428
3
0
9
0.054585
[ 529.5, 13.84375, 110, 120.15625 ]
0.149428
3
0
2
0.048516
[ 344.5, -0.25, 167, 104 ]
0.149428
3
0
24
0.046177
[ 396.25, 0, 98.5, 100.3125 ]
0.149428
3
0
2
0.045658
[ 0.75, 0.125, 142.75, 146 ]
0.149428
3
0
22
0.044333
[ 339.5, 0.03125, 134.5, 63.96875 ]
0.149428
3
0
14
0.040402
[ 465, 315, 119, 134.5 ]
0.149428
3
0
9
0.03831
[ 399.5, 0, 110.5, 101.4375 ]
0.149428
3
0
14
0.033804
[ 181.25, 20.0625, 92, 220.1875 ]
0.149428
3
0
2
0.032032
[ 369, -0.875, 267.5, 191.875 ]
0.149428
3
0
12
0.030942
[ -0.5625, 0.25, 127.4375, 68.875 ]
0.149428
3
0
8
0.03003
[ 393.5, 0.0625, 122.5, 102.3125 ]
0.149428
3
0
12
0.02944
[ 0.078125, 106.0625, 36.734375, 144.9375 ]
0.149428
3
0
2
0.027992
[ 393.75, -0.34375000000000006, 189.75, 101.96875 ]
0.149428
3
0
2
0.027599
[ 0.34375000000000006, 0.75, 121.78125, 201.25 ]
0.149428
3
0
28
0.027317
[ 337.5, -0.21875000000000003, 155.5, 76.71875 ]
0.149428
3
0
6
0.026931
[ 186.375, 40.21875, 87.125, 108.90625 ]
0.149428
3
0
9
0.024022
[ -0.6875, 0.21875000000000003, 130.9375, 71.03125 ]
0.149428
3
0
30
0.022261
[ 339.75, -0.28125, 177.25, 98.90625 ]
0.149428
3
0
22
0.021716
[ 364.5, 166.375, 44.5, 44.25 ]
0.149428
3
0
5
0.020041
[ 352.75, 189.75, 45, 45.75 ]
0.149428
3
0
6
0.019716
[ 318.75, 191.625, 42, 37.25 ]
0.149428
3
0
13
0.01932
[ 339, 0.03125, 41, 53.25 ]
0.149428
3
0
14
0.018875
[ 333.75, 365.5, 113.5, 40.5 ]
0.149428
3
0
12
0.018374
[ -0.4375, 139.5, 39.15625, 96.75 ]
0.149428
3
0
21
0.018095
[ 397.25, -0.25, 118.75, 103.75 ]
0.149428
3
0
24
0.017994
[ -0.5, -1.5, 185.625, 149.375 ]
0.149428
3
0
10
0.017646
[ 400, -0.46875000000000006, 123, 103.21875 ]
0.149428
3
0
22
0.017546
[ 394, -1.4375, 106.5, 104.75 ]
0.149428
3
0
5
0.01744
[ 345, 182.625, 64.5, 59.75 ]
0.149428
3
0
14
0.016946
[ 212.75, -0.015625, 153, 50.578125 ]
0.149428
3
0
32
0.016401
[ 356.25, 2.0625, 56.5, 104.875 ]
0.149428
3
0
2
0.01639
[ 357.75, 0.625, 192.25, 142.875 ]
0.149428
3
0
28
0.015999
[ 338.5, 0.171875, 127, 58.765625 ]
0.149428
3
0
2
0.015873
[ 0.265625, 19.3125, 38.671875, 211.4375 ]
0.149428
3
0
2
0.015732
[ -0.125, -0.03125, 124.0625, 89.78125 ]
0.149428
3
0
31
0.014262
[ 351.75, 195.125, 37.5, 40.5 ]
0.149428
3
0
9
0.014152
[ -2.75, 0.8125, 168.875, 133.6875 ]
0.149428
3
0
6
0.013972
[ 325, 182.25, 46.5, 43.25 ]
0.149428
3
0
12
0.013798
[ -0.0625, 44.4375, 35.96875, 190.0625 ]
0.149428
3
0
15
0.013645
[ -0.234375, 95.625, 37.546875, 134.75 ]
0.149428
3
0
24
0.013361
[ 558.5, -0.75, 82, 103 ]
0.149428
3
0
7
0.013164
[ 380.5, 0.03125, 111, 100.09375 ]
0.149428
3
0
9
0.012991
[ -0.21875000000000003, 96.4375, 38.09375, 144.3125 ]
0.149428
3
0
22
0.012643
[ 349, 166.375, 55, 41.75 ]
0.149428
3
0
24
0.01249
[ 1.4375, 69.375, 199.8125, 117 ]
0.149428
3
0
28
0.012353
[ 338, 0, 90, 52.46875 ]
0.149428
3
0
2
0.011376
[ 465, -0.09375000000000001, 172, 104.09375 ]
0.149428
3
0
4
0.011206
[ 328.75, 190, 55, 43.5 ]
0.149428
3
0
17
0.010927
[ 558, 0.3125, 81, 73.75 ]
0.149428
3
0
7
0.01074
[ 400.5, -0.5625, 120.5, 102.5 ]
0.149428
3
0
24
0.0106
[ -0.0625, 45.375, 38.78125, 193.5 ]
0.149428
3
0
31
0.010492
[ 345, 208.125, 53.5, 46 ]
0.149428
3
0
7
0.010484
[ 340.5, 0.125, 147, 86.625 ]
0.149428
3
0
5
0.010448
[ 339.5, 186.75, 51.5, 46.75 ]
0.149428
3
0
5
0.010426
[ 348, 165.125, 59.5, 57.5 ]
0.149428
3
0
2
0.010279
[ 338, 0.59375, 131, 88.28125 ]
0.149428
3
0
23
0.010219
[ 382.5, -0.0625, 133, 103.75 ]
0.149428
3
0
3
0.010073
[ 390.75, -0.1875, 126.75, 102.1875 ]
0.149428
3
0
18
0.009861
[ -0.140625, 132.125, 39.765625, 147.375 ]
0.149428
3
0
4
0.00979
[ 356, 177.375, 49, 55.75 ]
0.149428
3
0
18
0.00965
[ 549, 20.125, 91, 152.875 ]
0.149428
3
0
16
0.009435
[ 0.46875000000000006, 125.125, 25.4375, 107 ]
0.149428
3
0
24
0.009337
[ 0.09375000000000001, 101.8125, 38.9375, 156.6875 ]
0.149428
3
0
15
0.009328
[ 338, -0.34375000000000006, 86, 70.71875 ]
0.149428
3
0
24
0.009304
[ 203.75, -0.1171875, 156, 8.6953125 ]
0.149428
3
0
27
0.00908
[ 406.5, -0.125, 87, 101.4375 ]
0.149428
3
0
32
0.009012
[ 313.25, 164.75, 53.5, 36.5 ]
0.149428
3
0
4
0.008851
[ 372.25, 162.875, 32.5, 34.5 ]
0.149428
3
0
14
0.008384
[ 214, 2.71875, 213, 105.90625 ]
0.149428
3
0
13
0.008315
[ 273.5, 174.75, 56.5, 38.5 ]
0.149428
3
0
18
0.008305
[ 553, -0.0625, 86, 85.4375 ]
0.149428
3
0
22
0.007946
[ 358, 167.25, 52.5, 67 ]
0.149428
3
0
12
0.007937
[ 559, 0.03125, 82, 79.46875 ]
0.149428
3
0
14
0.007701
[ 393.75, 94.9375, 123.25, 58.1875 ]
0.149428
3
0
9
0.007519
[ 269, 175, 62, 40.75 ]
0.149428
3
0
15
0.00738
[ 339, 0.3125, 120, 52.96875 ]
0.149428
3
0
30
0.007343
[ 339.5, -0.34375000000000006, 165.5, 66.46875 ]
0.149428
3
0
18
0.007237
[ 523, 4.3125, 116, 123.6875 ]
0.149428
3
0
13
0.007224
[ 330.5, 366.5, 113, 40 ]
0.149428
3
0
32
0.007198
[ 364.5, 19, 43, 87.625 ]
0.149428
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