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Datasets:
cardiffnlp
/
databench

Tasks:
Table Question Answering
Question Answering
Modalities:
Text
Formats:
parquet
Languages:
English
Spanish
Size:
1K - 10K
Tags:
table-question-answering
table
qa
Libraries:
Datasets
pandas
License:
Dataset card Data Studio Files
xet
Community
3
jorses commited on
Commit
7b21041
·
1 Parent(s): b511317

shallow setup

Browse files
Files changed (3) hide show
  1. .gitignore +1 -0
  2. README.md +135 -135
  3. data/001_Forbes/sample.parquet +0 -0
.gitignore ADDED
@@ -0,0 +1 @@
 
 
1
+ *.ipynb
README.md CHANGED
@@ -12,7 +12,7 @@ task_categories:
12
  - table-question-answering
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  - question-answering
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  configs:
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- - config_name: default
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  data_files:
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  - data/001_Forbes/qa.csv
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  - data/002_Titanic/qa.csv
@@ -83,140 +83,140 @@ configs:
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  data_files:
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  - split: full
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  path: data/001_Forbes/all.parquet
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- # - split: lite
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- # path: data/001_Forbes/sample.csv
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- - config_name: data
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- data_files:
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- - split: 001_Forbes
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- path: data/001_Forbes/all.parquet
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- - split: 002_Titanic
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- path: data/002_Titanic/all.parquet
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- - split: 003_Love
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- path: data/003_Love/all.parquet
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- - split: 004_Taxi
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- path: data/004_Taxi/all.parquet
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- - split: 005_NYC
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- path: data/005_NYC/all.parquet
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- - split: 006_London
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- path: data/006_London/all.parquet
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- - split: 007_Fifa
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- path: data/007_Fifa/all.parquet
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- - split: 008_Tornados
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- path: data/008_Tornados/all.parquet
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- - split: 009_Central
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- path: data/009_Central/all.parquet
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- - split: 010_ECommerce
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- path: data/010_ECommerce/all.parquet
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- - split: 011_SF
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- path: data/011_SF/all.parquet
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- - split: 012_Heart
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- path: data/012_Heart/all.parquet
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- - split: 013_Roller
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- path: data/013_Roller/all.parquet
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- - split: 014_Airbnb
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- path: data/014_Airbnb/all.parquet
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- - split: 015_Food
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- path: data/015_Food/all.parquet
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- - split: 016_Holiday
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- path: data/016_Holiday/all.parquet
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- - split: 017_Hacker
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- path: data/017_Hacker/all.parquet
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- - split: 018_Staff
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- path: data/018_Staff/all.parquet
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- - split: 019_Aircraft
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- path: data/019_Aircraft/all.parquet
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- - split: 020_Real
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- path: data/020_Real/all.parquet
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- - split: 021_Telco
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- path: data/021_Telco/all.parquet
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- - split: 022_Airbnbs
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- path: data/022_Airbnbs/all.parquet
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- - split: 023_Climate
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- path: data/023_Climate/all.parquet
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- - split: 024_Salary
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- path: data/024_Salary/all.parquet
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- - split: 025_Data
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- path: data/025_Data/all.parquet
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- - split: 026_Predicting
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- path: data/026_Predicting/all.parquet
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- - split: 027_Supermarket
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- path: data/027_Supermarket/all.parquet
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- - split: 028_Predict
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- path: data/028_Predict/all.parquet
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- - split: 029_NYTimes
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- path: data/029_NYTimes/all.parquet
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- - split: 030_Professionals
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- path: data/030_Professionals/all.parquet
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- - split: 031_Trustpilot
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- path: data/031_Trustpilot/all.parquet
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- - split: 032_Delicatessen
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- path: data/032_Delicatessen/all.parquet
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- - split: 033_Employee
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- path: data/033_Employee/all.parquet
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- - split: 034_World
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- path: data/034_World/all.parquet
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- - split: 035_Billboard
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- path: data/035_Billboard/all.parquet
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- - split: 036_US
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- path: data/036_US/all.parquet
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- - split: 037_Ted
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- path: data/037_Ted/all.parquet
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- - split: 038_Stroke
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- path: data/038_Stroke/all.parquet
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- - split: 039_Happy
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- path: data/039_Happy/all.parquet
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- - split: 040_Speed
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- path: data/040_Speed/all.parquet
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- - split: 041_Airline
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- path: data/041_Airline/all.parquet
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- - split: 042_Predict
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- path: data/042_Predict/all.parquet
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- - split: 043_Predict
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- path: data/043_Predict/all.parquet
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- - split: 044_IMDb
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- path: data/044_IMDb/all.parquet
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- - split: 045_Predict
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- path: data/045_Predict/all.parquet
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- - split: "046_120"
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- path: data/046_120/all.parquet
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- - split: 047_Bank
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- path: data/047_Bank/all.parquet
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- - split: 048_Data
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- path: data/048_Data/all.parquet
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- - split: 049_Boris
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- path: data/049_Boris/all.parquet
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- - split: 050_ING
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- path: data/050_ING/all.parquet
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- - split: 051_Pokemon
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- path: data/051_Pokemon/all.parquet
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- - split: 052_Professional
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- path: data/052_Professional/all.parquet
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- - split: 053_Patents
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- path: data/053_Patents/all.parquet
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- - split: 054_Joe
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- path: data/054_Joe/all.parquet
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- - split: 055_German
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- path: data/055_German/all.parquet
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- - split: 056_Emoji
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- path: data/056_Emoji/all.parquet
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- - split: 057_Spain
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- path: data/057_Spain/all.parquet
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- - split: 058_US
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- path: data/058_US/all.parquet
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- - split: 059_Second
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- path: data/059_Second/all.parquet
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- - split: 060_Bakery
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- path: data/060_Bakery/all.parquet
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- - split: 061_Disneyland
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- path: data/061_Disneyland/all.parquet
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- - split: 062_Trump
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- path: data/062_Trump/all.parquet
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- - split: 063_Influencers
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- path: data/063_Influencers/all.parquet
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- - split: 064_Clustering
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- path: data/064_Clustering/all.parquet
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- - split: 065_RFM
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- path: data/065_RFM/all.parquet
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  - config_name: data_lite
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  data_files:
222
  - split: 001_Forbes
 
12
  - table-question-answering
13
  - question-answering
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  configs:
15
+ - config_name: qa
16
  data_files:
17
  - data/001_Forbes/qa.csv
18
  - data/002_Titanic/qa.csv
 
83
  data_files:
84
  - split: full
85
  path: data/001_Forbes/all.parquet
86
+ - split: lite
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+ path: data/001_Forbes/sample.parquet
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+ # - config_name: data
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+ # data_files:
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+ # - split: 001_Forbes
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+ # path: data/001_Forbes/all.parquet
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+ # - split: 002_Titanic
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+ # path: data/002_Titanic/all.parquet
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+ # - split: 003_Love
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+ # path: data/003_Love/all.parquet
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+ # - split: 004_Taxi
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+ # path: data/004_Taxi/all.parquet
98
+ # - split: 005_NYC
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+ # path: data/005_NYC/all.parquet
100
+ # - split: 006_London
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+ # path: data/006_London/all.parquet
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+ # - split: 007_Fifa
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+ # path: data/007_Fifa/all.parquet
104
+ # - split: 008_Tornados
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+ # path: data/008_Tornados/all.parquet
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+ # - split: 009_Central
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+ # path: data/009_Central/all.parquet
108
+ # - split: 010_ECommerce
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+ # path: data/010_ECommerce/all.parquet
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+ # - split: 011_SF
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+ # path: data/011_SF/all.parquet
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+ # - split: 012_Heart
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+ # path: data/012_Heart/all.parquet
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+ # - split: 013_Roller
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+ # path: data/013_Roller/all.parquet
116
+ # - split: 014_Airbnb
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+ # path: data/014_Airbnb/all.parquet
118
+ # - split: 015_Food
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+ # path: data/015_Food/all.parquet
120
+ # - split: 016_Holiday
121
+ # path: data/016_Holiday/all.parquet
122
+ # - split: 017_Hacker
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+ # path: data/017_Hacker/all.parquet
124
+ # - split: 018_Staff
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+ # path: data/018_Staff/all.parquet
126
+ # - split: 019_Aircraft
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+ # path: data/019_Aircraft/all.parquet
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+ # - split: 020_Real
129
+ # path: data/020_Real/all.parquet
130
+ # - split: 021_Telco
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+ # path: data/021_Telco/all.parquet
132
+ # - split: 022_Airbnbs
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+ # path: data/022_Airbnbs/all.parquet
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+ # - split: 023_Climate
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+ # path: data/023_Climate/all.parquet
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+ # - split: 024_Salary
137
+ # path: data/024_Salary/all.parquet
138
+ # - split: 025_Data
139
+ # path: data/025_Data/all.parquet
140
+ # - split: 026_Predicting
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+ # path: data/026_Predicting/all.parquet
142
+ # - split: 027_Supermarket
143
+ # path: data/027_Supermarket/all.parquet
144
+ # - split: 028_Predict
145
+ # path: data/028_Predict/all.parquet
146
+ # - split: 029_NYTimes
147
+ # path: data/029_NYTimes/all.parquet
148
+ # - split: 030_Professionals
149
+ # path: data/030_Professionals/all.parquet
150
+ # - split: 031_Trustpilot
151
+ # path: data/031_Trustpilot/all.parquet
152
+ # - split: 032_Delicatessen
153
+ # path: data/032_Delicatessen/all.parquet
154
+ # - split: 033_Employee
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+ # path: data/033_Employee/all.parquet
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+ # - split: 034_World
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+ # path: data/034_World/all.parquet
158
+ # - split: 035_Billboard
159
+ # path: data/035_Billboard/all.parquet
160
+ # - split: 036_US
161
+ # path: data/036_US/all.parquet
162
+ # - split: 037_Ted
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+ # path: data/037_Ted/all.parquet
164
+ # - split: 038_Stroke
165
+ # path: data/038_Stroke/all.parquet
166
+ # - split: 039_Happy
167
+ # path: data/039_Happy/all.parquet
168
+ # - split: 040_Speed
169
+ # path: data/040_Speed/all.parquet
170
+ # - split: 041_Airline
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+ # path: data/041_Airline/all.parquet
172
+ # - split: 042_Predict
173
+ # path: data/042_Predict/all.parquet
174
+ # - split: 043_Predict
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+ # path: data/043_Predict/all.parquet
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+ # - split: 044_IMDb
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+ # path: data/044_IMDb/all.parquet
178
+ # - split: 045_Predict
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+ # path: data/045_Predict/all.parquet
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+ # - split: "046_120"
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+ # path: data/046_120/all.parquet
182
+ # - split: 047_Bank
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+ # path: data/047_Bank/all.parquet
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+ # - split: 048_Data
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+ # path: data/048_Data/all.parquet
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+ # - split: 049_Boris
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+ # path: data/049_Boris/all.parquet
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+ # - split: 050_ING
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+ # path: data/050_ING/all.parquet
190
+ # - split: 051_Pokemon
191
+ # path: data/051_Pokemon/all.parquet
192
+ # - split: 052_Professional
193
+ # path: data/052_Professional/all.parquet
194
+ # - split: 053_Patents
195
+ # path: data/053_Patents/all.parquet
196
+ # - split: 054_Joe
197
+ # path: data/054_Joe/all.parquet
198
+ # - split: 055_German
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+ # path: data/055_German/all.parquet
200
+ # - split: 056_Emoji
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+ # path: data/056_Emoji/all.parquet
202
+ # - split: 057_Spain
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+ # path: data/057_Spain/all.parquet
204
+ # - split: 058_US
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+ # path: data/058_US/all.parquet
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+ # - split: 059_Second
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+ # path: data/059_Second/all.parquet
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+ # - split: 060_Bakery
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+ # path: data/060_Bakery/all.parquet
210
+ # - split: 061_Disneyland
211
+ # path: data/061_Disneyland/all.parquet
212
+ # - split: 062_Trump
213
+ # path: data/062_Trump/all.parquet
214
+ # - split: 063_Influencers
215
+ # path: data/063_Influencers/all.parquet
216
+ # - split: 064_Clustering
217
+ # path: data/064_Clustering/all.parquet
218
+ # - split: 065_RFM
219
+ # path: data/065_RFM/all.parquet
220
  - config_name: data_lite
221
  data_files:
222
  - split: 001_Forbes
data/001_Forbes/sample.parquet ADDED
Binary file (5.81 kB). View file