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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:
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@@ -11,6 +11,78 @@ license: mit
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  task_categories:
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  - table-question-answering
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  - question-answering
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # 💾🏋️💾 DataBench 💾🏋️💾
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  task_categories:
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  - table-question-answering
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  - question-answering
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+ configs:
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+ - config_name: semeval
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+ data_files:
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+ - split: train
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+ path:
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+ - "data/001_Forbes/qa.csv"
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+ - "data/002_Titanic/qa.csv"
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+ - "data/003_Love/qa.csv"
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+ - "data/004_Taxi/qa.csv"
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+ - "data/005_NYC_Calls/qa.csv"
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+ - "data/006_London_Airbnbs/qa.csv"
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+ - "data/007_Fifa/qa.csv"
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+ - "data/008_Tornados/qa.csv"
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+ - "data/009_Central_Park/qa.csv"
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+ - "data/010_ECommerce_Reviews/qa.csv"
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+ - "data/011_SF_Police/qa.csv"
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+ - "data/012_Heart_Failure/qa.csv"
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+ - "data/013_Roller_Coasters/qa.csv"
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+ - "data/014_Madrid_Airbnbs/qa.csv"
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+ - "data/015_Food_Names/qa.csv"
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+ - "data/016_Holiday_Package_Sales/qa.csv"
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+ - "data/017_Hacker_News/qa.csv"
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+ - "data/018_Staff_Satisfaction/qa.csv"
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+ - "data/019_Aircraft_Accidents/qa.csv"
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+ - "data/020_Real_Estate_Madrid/qa.csv"
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+ - "data/021_Telco_Customer_Churn/qa.csv"
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+ - "data/022_Airbnbs_Listings_NY/qa.csv"
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+ - "data/023_Climate_in_Madrid/qa.csv"
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+ - "data/024_Salary_Survey_Spain_2018/qa.csv"
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+ - "data/025_Data_Driven_SEO/qa.csv"
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+ - "data/026_Predicting_Wine_Quality/qa.csv"
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+ - "data/027_Supermarket_Sales/qa.csv"
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+ - "data/028_Predict_Diabetes/qa.csv"
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+ - "data/029_NYTimes_World_In_2021/qa.csv"
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+ - "data/030_Dataset_30/qa.csv"
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+ - "data/031_Dataset_31/qa.csv"
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+ - "data/032_Dataset_32/qa.csv"
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+ - "data/033_Dataset_33/qa.csv"
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+ - "data/034_Dataset_34/qa.csv"
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+ - "data/035_Dataset_35/qa.csv"
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+ - "data/036_Dataset_36/qa.csv"
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+ - "data/037_Dataset_37/qa.csv"
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+ - "data/038_Dataset_38/qa.csv"
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+ - "data/039_Dataset_39/qa.csv"
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+ - "data/040_Dataset_40/qa.csv"
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+ - "data/041_Dataset_41/qa.csv"
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+ - "data/042_Dataset_42/qa.csv"
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+ - "data/043_Dataset_43/qa.csv"
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+ - "data/044_Dataset_44/qa.csv"
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+ - "data/045_Dataset_45/qa.csv"
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+ - "data/046_Dataset_46/qa.csv"
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+ - "data/047_Dataset_47/qa.csv"
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+ - "data/048_Dataset_48/qa.csv"
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+ - "data/049_Dataset_49/qa.csv"
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+ - split: test
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+ path:
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+ - "data/050_Dataset_50/qa.csv"
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+ - "data/051_Dataset_51/qa.csv"
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+ - "data/052_Dataset_52/qa.csv"
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+ - "data/053_Dataset_53/qa.csv"
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+ - "data/054_Dataset_54/qa.csv"
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+ - "data/055_Dataset_55/qa.csv"
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+ - "data/056_Dataset_56/qa.csv"
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+ - "data/057_Dataset_57/qa.csv"
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+ - "data/058_Dataset_58/qa.csv"
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+ - "data/059_Dataset_59/qa.csv"
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+ - "data/060_Dataset_60/qa.csv"
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+ - "data/061_Dataset_61/qa.csv"
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+ - "data/062_Dataset_62/qa.csv"
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+ - "data/063_Dataset_63/qa.csv"
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+ - "data/064_Dataset_64/qa.csv"
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+ - "data/065_Dataset_65/qa.csv"
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  ---
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  # 💾🏋️💾 DataBench 💾🏋️💾
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