diff --git a/README.md b/README.md index 068f6225033b3700e354e5aeff52d4a0957508fe..6c1726fbb0c73f47b505b4716726e8c26dfeb1d5 100644 --- a/README.md +++ b/README.md @@ -14,414 +14,412 @@ task_categories: configs: - config_name: qa data_files: - - data/001_Forbes/qa.csv - - data/002_Titanic/qa.csv - - data/003_Love/qa.csv - - data/004_Taxi/qa.csv - - data/005_NYC/qa.csv - - data/006_London/qa.csv - - data/007_Fifa/qa.csv - - data/008_Tornados/qa.csv - - data/009_Central/qa.csv - - data/010_ECommerce/qa.csv - - data/011_SF/qa.csv - - data/012_Heart/qa.csv - - data/013_Roller/qa.csv - - data/014_Airbnb/qa.csv - - data/015_Food/qa.csv - - data/016_Holiday/qa.csv - - data/017_Hacker/qa.csv - - data/018_Staff/qa.csv - - data/019_Aircraft/qa.csv - - data/020_Real/qa.csv - - data/021_Telco/qa.csv - - data/022_Airbnbs/qa.csv - - data/023_Climate/qa.csv - - data/024_Salary/qa.csv - - data/025_Data/qa.csv - - data/026_Predicting/qa.csv - - data/027_Supermarket/qa.csv - - data/028_Predict/qa.csv - - data/029_NYTimes/qa.csv - - data/030_Professionals/qa.csv - - data/031_Trustpilot/qa.csv - - data/032_Delicatessen/qa.csv - - data/033_Employee/qa.csv - - data/034_World/qa.csv - - data/035_Billboard/qa.csv - - data/036_US/qa.csv - - data/037_Ted/qa.csv - - data/038_Stroke/qa.csv - - data/039_Happy/qa.csv - - data/040_Speed/qa.csv - - data/041_Airline/qa.csv - - data/042_Predict/qa.csv - - data/043_Predict/qa.csv - - data/044_IMDb/qa.csv - - data/045_Predict/qa.csv - - data/046_120/qa.csv - - data/047_Bank/qa.csv - - data/048_Data/qa.csv - - data/049_Boris/qa.csv - - data/050_ING/qa.csv - - data/051_Pokemon/qa.csv - - data/052_Professional/qa.csv - - data/053_Patents/qa.csv - - data/054_Joe/qa.csv - - data/055_German/qa.csv - - data/056_Emoji/qa.csv - - data/057_Spain/qa.csv - - data/058_US/qa.csv - - data/059_Second/qa.csv - - data/060_Bakery/qa.csv - - data/061_Disneyland/qa.csv - - data/062_Trump/qa.csv - - data/063_Influencers/qa.csv - - data/064_Clustering/qa.csv - - data/065_RFM/qa.csv + - data/001_Forbes/qa.parquet + - data/002_Titanic/qa.parquet + - data/003_Love/qa.parquet + - data/004_Taxi/qa.parquet + - data/005_NYC/qa.parquet + - data/006_London/qa.parquet + - data/007_Fifa/qa.parquet + - data/008_Tornados/qa.parquet + - data/009_Central/qa.parquet + - data/010_ECommerce/qa.parquet + - data/011_SF/qa.parquet + - data/012_Heart/qa.parquet + - data/013_Roller/qa.parquet + - data/014_Airbnb/qa.parquet + - data/015_Food/qa.parquet + - data/016_Holiday/qa.parquet + - data/017_Hacker/qa.parquet + - data/018_Staff/qa.parquet + - data/019_Aircraft/qa.parquet + - data/020_Real/qa.parquet + - data/021_Telco/qa.parquet + - data/022_Airbnbs/qa.parquet + - data/023_Climate/qa.parquet + - data/024_Salary/qa.parquet + - data/025_Data/qa.parquet + - data/026_Predicting/qa.parquet + - data/027_Supermarket/qa.parquet + - data/028_Predict/qa.parquet + - data/029_NYTimes/qa.parquet + - data/030_Professionals/qa.parquet + - data/031_Trustpilot/qa.parquet + - data/032_Delicatessen/qa.parquet + - data/033_Employee/qa.parquet + - data/034_World/qa.parquet + - data/035_Billboard/qa.parquet + - data/036_US/qa.parquet + - data/037_Ted/qa.parquet + - data/038_Stroke/qa.parquet + - data/039_Happy/qa.parquet + - data/040_Speed/qa.parquet + - data/041_Airline/qa.parquet + - data/042_Predict/qa.parquet + - data/043_Predict/qa.parquet + - data/044_IMDb/qa.parquet + - data/045_Predict/qa.parquet + - data/046_120/qa.parquet + - data/047_Bank/qa.parquet + - data/048_Data/qa.parquet + - data/049_Boris/qa.parquet + - data/050_ING/qa.parquet + - data/051_Pokemon/qa.parquet + - data/052_Professional/qa.parquet + - data/053_Patents/qa.parquet + - data/054_Joe/qa.parquet + - data/055_German/qa.parquet + - data/056_Emoji/qa.parquet + - data/057_Spain/qa.parquet + - data/058_US/qa.parquet + - data/059_Second/qa.parquet + - data/060_Bakery/qa.parquet + - data/061_Disneyland/qa.parquet + - data/062_Trump/qa.parquet + - data/063_Influencers/qa.parquet + - data/064_Clustering/qa.parquet + - data/065_RFM/qa.parquet - config_name: 001_Forbes data_files: - split: full path: data/001_Forbes/all.parquet - format: parquet - split: lite path: data/001_Forbes/sample.parquet - format: parquet -# - config_name: data -# data_files: -# - split: 001_Forbes -# path: data/001_Forbes/all.parquet -# - split: 002_Titanic -# path: data/002_Titanic/all.parquet -# - split: 003_Love -# path: data/003_Love/all.parquet -# - split: 004_Taxi -# path: data/004_Taxi/all.parquet -# - split: 005_NYC -# path: data/005_NYC/all.parquet -# - split: 006_London -# path: data/006_London/all.parquet -# - split: 007_Fifa -# path: data/007_Fifa/all.parquet -# - split: 008_Tornados -# path: data/008_Tornados/all.parquet -# - split: 009_Central -# path: data/009_Central/all.parquet -# - split: 010_ECommerce -# path: data/010_ECommerce/all.parquet -# - split: 011_SF -# path: data/011_SF/all.parquet -# - split: 012_Heart -# path: data/012_Heart/all.parquet -# - split: 013_Roller -# path: data/013_Roller/all.parquet -# - split: 014_Airbnb -# path: data/014_Airbnb/all.parquet -# - split: 015_Food -# path: data/015_Food/all.parquet -# - split: 016_Holiday -# path: data/016_Holiday/all.parquet -# - split: 017_Hacker -# path: data/017_Hacker/all.parquet -# - split: 018_Staff -# path: data/018_Staff/all.parquet -# - split: 019_Aircraft -# path: data/019_Aircraft/all.parquet -# - split: 020_Real -# path: data/020_Real/all.parquet -# - split: 021_Telco -# path: data/021_Telco/all.parquet -# - split: 022_Airbnbs -# path: data/022_Airbnbs/all.parquet -# - split: 023_Climate -# path: data/023_Climate/all.parquet -# - split: 024_Salary -# path: data/024_Salary/all.parquet -# - split: 025_Data -# path: data/025_Data/all.parquet -# - split: 026_Predicting -# path: data/026_Predicting/all.parquet -# - split: 027_Supermarket -# path: data/027_Supermarket/all.parquet -# - split: 028_Predict -# path: data/028_Predict/all.parquet -# - split: 029_NYTimes -# path: data/029_NYTimes/all.parquet -# - split: 030_Professionals -# path: data/030_Professionals/all.parquet -# - split: 031_Trustpilot -# path: data/031_Trustpilot/all.parquet -# - split: 032_Delicatessen -# path: data/032_Delicatessen/all.parquet -# - split: 033_Employee -# path: data/033_Employee/all.parquet -# - split: 034_World -# path: data/034_World/all.parquet -# - split: 035_Billboard -# path: data/035_Billboard/all.parquet -# - split: 036_US -# path: data/036_US/all.parquet -# - split: 037_Ted -# path: data/037_Ted/all.parquet -# - split: 038_Stroke -# path: data/038_Stroke/all.parquet -# - split: 039_Happy -# path: data/039_Happy/all.parquet -# - split: 040_Speed -# path: data/040_Speed/all.parquet -# - split: 041_Airline -# path: data/041_Airline/all.parquet -# - split: 042_Predict -# path: data/042_Predict/all.parquet -# - split: 043_Predict -# path: data/043_Predict/all.parquet -# - split: 044_IMDb -# path: data/044_IMDb/all.parquet -# - split: 045_Predict -# path: data/045_Predict/all.parquet -# - split: "046_120" -# path: data/046_120/all.parquet -# - split: 047_Bank -# path: data/047_Bank/all.parquet -# - split: 048_Data -# path: data/048_Data/all.parquet -# - split: 049_Boris -# path: data/049_Boris/all.parquet -# - split: 050_ING -# path: data/050_ING/all.parquet -# - split: 051_Pokemon -# path: data/051_Pokemon/all.parquet -# - split: 052_Professional -# path: data/052_Professional/all.parquet -# - split: 053_Patents -# path: data/053_Patents/all.parquet -# - split: 054_Joe -# path: data/054_Joe/all.parquet -# - split: 055_German -# path: data/055_German/all.parquet -# - split: 056_Emoji -# path: data/056_Emoji/all.parquet -# - split: 057_Spain -# path: data/057_Spain/all.parquet -# - split: 058_US -# path: data/058_US/all.parquet -# - split: 059_Second -# path: data/059_Second/all.parquet -# - split: 060_Bakery -# path: data/060_Bakery/all.parquet -# - split: 061_Disneyland -# path: data/061_Disneyland/all.parquet -# - split: 062_Trump -# path: data/062_Trump/all.parquet -# - split: 063_Influencers -# path: data/063_Influencers/all.parquet -# - split: 064_Clustering -# path: data/064_Clustering/all.parquet -# - split: 065_RFM -# path: data/065_RFM/all.parquet +- config_name: data + data_files: + - split: 001_Forbes + path: data/001_Forbes/all.parquet + - split: 002_Titanic + path: data/002_Titanic/all.parquet + - split: 003_Love + path: data/003_Love/all.parquet + - split: 004_Taxi + path: data/004_Taxi/all.parquet + - split: 005_NYC + path: data/005_NYC/all.parquet + - split: 006_London + path: data/006_London/all.parquet + - split: 007_Fifa + path: data/007_Fifa/all.parquet + - split: 008_Tornados + path: data/008_Tornados/all.parquet + - split: 009_Central + path: data/009_Central/all.parquet + - split: 010_ECommerce + path: data/010_ECommerce/all.parquet + - split: 011_SF + path: data/011_SF/all.parquet + - split: 012_Heart + path: data/012_Heart/all.parquet + - split: 013_Roller + path: data/013_Roller/all.parquet + - split: 014_Airbnb + path: data/014_Airbnb/all.parquet + - split: 015_Food + path: data/015_Food/all.parquet + - split: 016_Holiday + path: data/016_Holiday/all.parquet + - split: 017_Hacker + path: data/017_Hacker/all.parquet + - split: 018_Staff + path: data/018_Staff/all.parquet + - split: 019_Aircraft + path: data/019_Aircraft/all.parquet + - split: 020_Real + path: data/020_Real/all.parquet + - split: 021_Telco + path: data/021_Telco/all.parquet + - split: 022_Airbnbs + path: data/022_Airbnbs/all.parquet + - split: 023_Climate + path: data/023_Climate/all.parquet + - split: 024_Salary + path: data/024_Salary/all.parquet + - split: 025_Data + path: data/025_Data/all.parquet + - split: 026_Predicting + path: data/026_Predicting/all.parquet + - split: 027_Supermarket + path: data/027_Supermarket/all.parquet + - split: 028_Predict + path: data/028_Predict/all.parquet + - split: 029_NYTimes + path: data/029_NYTimes/all.parquet + - split: 030_Professionals + path: data/030_Professionals/all.parquet + - split: 031_Trustpilot + path: data/031_Trustpilot/all.parquet + - split: 032_Delicatessen + path: data/032_Delicatessen/all.parquet + - split: 033_Employee + path: data/033_Employee/all.parquet + - split: 034_World + path: data/034_World/all.parquet + - split: 035_Billboard + path: data/035_Billboard/all.parquet + - split: 036_US + path: data/036_US/all.parquet + - split: 037_Ted + path: data/037_Ted/all.parquet + - split: 038_Stroke + path: data/038_Stroke/all.parquet + - split: 039_Happy + path: data/039_Happy/all.parquet + - split: 040_Speed + path: data/040_Speed/all.parquet + - split: 041_Airline + path: data/041_Airline/all.parquet + - split: 042_Predict + path: data/042_Predict/all.parquet + - split: 043_Predict + path: data/043_Predict/all.parquet + - split: 044_IMDb + path: data/044_IMDb/all.parquet + - split: 045_Predict + path: data/045_Predict/all.parquet + - split: "046_120" + path: data/046_120/all.parquet + - split: 047_Bank + path: data/047_Bank/all.parquet + - split: 048_Data + path: data/048_Data/all.parquet + - split: 049_Boris + path: data/049_Boris/all.parquet + - split: 050_ING + path: data/050_ING/all.parquet + - split: 051_Pokemon + path: data/051_Pokemon/all.parquet + - split: 052_Professional + path: data/052_Professional/all.parquet + - split: 053_Patents + path: data/053_Patents/all.parquet + - split: 054_Joe + path: data/054_Joe/all.parquet + - split: 055_German + path: data/055_German/all.parquet + - split: 056_Emoji + path: data/056_Emoji/all.parquet + - split: 057_Spain + path: data/057_Spain/all.parquet + - split: 058_US + path: data/058_US/all.parquet + - split: 059_Second + path: data/059_Second/all.parquet + - split: 060_Bakery + path: data/060_Bakery/all.parquet + - split: 061_Disneyland + path: data/061_Disneyland/all.parquet + - split: 062_Trump + path: data/062_Trump/all.parquet + - split: 063_Influencers + path: data/063_Influencers/all.parquet + - split: 064_Clustering + path: data/064_Clustering/all.parquet + - split: 065_RFM + path: data/065_RFM/all.parquet - config_name: data_lite data_files: - split: 001_Forbes - path: data/001_Forbes/sample.csv + path: data/001_Forbes/sample.parquet - split: 002_Titanic - path: data/002_Titanic/sample.csv + path: data/002_Titanic/sample.parquet - split: 003_Love - path: data/003_Love/sample.csv + path: data/003_Love/sample.parquet - split: 004_Taxi - path: data/004_Taxi/sample.csv + path: data/004_Taxi/sample.parquet - split: 005_NYC - path: data/005_NYC/sample.csv + path: data/005_NYC/sample.parquet - split: 006_London - path: data/006_London/sample.csv + path: data/006_London/sample.parquet - split: 007_Fifa - path: data/007_Fifa/sample.csv + path: data/007_Fifa/sample.parquet - split: 008_Tornados - path: data/008_Tornados/sample.csv + path: data/008_Tornados/sample.parquet - split: 009_Central - path: data/009_Central/sample.csv + path: data/009_Central/sample.parquet - split: 010_ECommerce - path: data/010_ECommerce/sample.csv + path: data/010_ECommerce/sample.parquet - split: 011_SF - path: data/011_SF/sample.csv + path: data/011_SF/sample.parquet - split: 012_Heart - path: data/012_Heart/sample.csv + path: data/012_Heart/sample.parquet - split: 013_Roller - path: data/013_Roller/sample.csv + path: data/013_Roller/sample.parquet - split: 014_Airbnb - path: data/014_Airbnb/sample.csv + path: data/014_Airbnb/sample.parquet - split: 015_Food - path: data/015_Food/sample.csv + path: data/015_Food/sample.parquet - split: 016_Holiday - path: data/016_Holiday/sample.csv + path: data/016_Holiday/sample.parquet - split: 017_Hacker - path: data/017_Hacker/sample.csv + path: data/017_Hacker/sample.parquet - split: 018_Staff - path: data/018_Staff/sample.csv + path: data/018_Staff/sample.parquet - split: 019_Aircraft - path: data/019_Aircraft/sample.csv + path: data/019_Aircraft/sample.parquet - split: 020_Real - path: data/020_Real/sample.csv + path: data/020_Real/sample.parquet - split: 021_Telco - path: data/021_Telco/sample.csv + path: data/021_Telco/sample.parquet - split: 022_Airbnbs - path: data/022_Airbnbs/sample.csv + path: data/022_Airbnbs/sample.parquet - split: 023_Climate - path: data/023_Climate/sample.csv + path: data/023_Climate/sample.parquet - split: 024_Salary - path: data/024_Salary/sample.csv + path: data/024_Salary/sample.parquet - split: 025_Data - path: data/025_Data/sample.csv + path: data/025_Data/sample.parquet - split: 026_Predicting - path: data/026_Predicting/sample.csv + path: data/026_Predicting/sample.parquet - split: 027_Supermarket - path: data/027_Supermarket/sample.csv + path: data/027_Supermarket/sample.parquet - split: 028_Predict - path: data/028_Predict/sample.csv + path: data/028_Predict/sample.parquet - split: 029_NYTimes - path: data/029_NYTimes/sample.csv + path: data/029_NYTimes/sample.parquet - split: 030_Professionals - path: data/030_Professionals/sample.csv + path: data/030_Professionals/sample.parquet - split: 031_Trustpilot - path: data/031_Trustpilot/sample.csv + path: data/031_Trustpilot/sample.parquet - split: 032_Delicatessen - path: data/032_Delicatessen/sample.csv + path: data/032_Delicatessen/sample.parquet - split: 033_Employee - path: data/033_Employee/sample.csv + path: data/033_Employee/sample.parquet - split: 034_World - path: data/034_World/sample.csv + path: data/034_World/sample.parquet - split: 035_Billboard - path: data/035_Billboard/sample.csv + path: data/035_Billboard/sample.parquet - split: 036_US - path: data/036_US/sample.csv + path: data/036_US/sample.parquet - split: 037_Ted - path: data/037_Ted/sample.csv + path: data/037_Ted/sample.parquet - split: 038_Stroke - path: data/038_Stroke/sample.csv + path: data/038_Stroke/sample.parquet - split: 039_Happy - path: data/039_Happy/sample.csv + path: data/039_Happy/sample.parquet - split: 040_Speed - path: data/040_Speed/sample.csv + path: data/040_Speed/sample.parquet - split: 041_Airline - path: data/041_Airline/sample.csv + path: data/041_Airline/sample.parquet - split: 042_Predict - path: data/042_Predict/sample.csv + path: data/042_Predict/sample.parquet - split: 043_Predict - path: data/043_Predict/sample.csv + path: data/043_Predict/sample.parquet - split: 044_IMDb - path: data/044_IMDb/sample.csv + path: data/044_IMDb/sample.parquet - split: 045_Predict - path: data/045_Predict/sample.csv + path: data/045_Predict/sample.parquet - split: "046_120" - path: data/046_120/sample.csv + path: data/046_120/sample.parquet - split: 047_Bank - path: data/047_Bank/sample.csv + path: data/047_Bank/sample.parquet - split: 048_Data - path: data/048_Data/sample.csv + path: data/048_Data/sample.parquet - split: 049_Boris - path: data/049_Boris/sample.csv + path: data/049_Boris/sample.parquet - split: 050_ING - path: data/050_ING/sample.csv + path: data/050_ING/sample.parquet - split: 051_Pokemon - path: data/051_Pokemon/sample.csv + path: data/051_Pokemon/sample.parquet - split: 052_Professional - path: data/052_Professional/sample.csv + path: data/052_Professional/sample.parquet - split: 053_Patents - path: data/053_Patents/sample.csv + path: data/053_Patents/sample.parquet - split: 054_Joe - path: data/054_Joe/sample.csv + path: data/054_Joe/sample.parquet - split: 055_German - path: data/055_German/sample.csv + path: data/055_German/sample.parquet - split: 056_Emoji - path: data/056_Emoji/sample.csv + path: data/056_Emoji/sample.parquet - split: 057_Spain - path: data/057_Spain/sample.csv + path: data/057_Spain/sample.parquet - split: 058_US - path: data/058_US/sample.csv + path: data/058_US/sample.parquet - split: 059_Second - path: data/059_Second/sample.csv + path: data/059_Second/sample.parquet - split: 060_Bakery - path: data/060_Bakery/sample.csv + path: data/060_Bakery/sample.parquet - split: 061_Disneyland - path: data/061_Disneyland/sample.csv + path: data/061_Disneyland/sample.parquet - split: 062_Trump - path: data/062_Trump/sample.csv + path: data/062_Trump/sample.parquet - split: 063_Influencers - path: data/063_Influencers/sample.csv + path: data/063_Influencers/sample.parquet - split: 064_Clustering - path: data/064_Clustering/sample.csv + path: data/064_Clustering/sample.parquet - split: 065_RFM - path: data/065_RFM/sample.csv + path: data/065_RFM/sample.parquet - config_name: semeval data_files: - split: train path: - - data/001_Forbes/qa.csv - - data/002_Titanic/qa.csv - - data/003_Love/qa.csv - - data/004_Taxi/qa.csv - - data/005_NYC/qa.csv - - data/006_London/qa.csv - - data/007_Fifa/qa.csv - - data/008_Tornados/qa.csv - - data/009_Central/qa.csv - - data/010_ECommerce/qa.csv - - data/011_SF/qa.csv - - data/012_Heart/qa.csv - - data/013_Roller/qa.csv - - data/014_Airbnb/qa.csv - - data/015_Food/qa.csv - - data/016_Holiday/qa.csv - - data/017_Hacker/qa.csv - - data/018_Staff/qa.csv - - data/019_Aircraft/qa.csv - - data/020_Real/qa.csv - - data/021_Telco/qa.csv - - data/022_Airbnbs/qa.csv - - data/023_Climate/qa.csv - - data/024_Salary/qa.csv - - data/025_Data/qa.csv - - data/026_Predicting/qa.csv - - data/027_Supermarket/qa.csv - - data/028_Predict/qa.csv - - data/029_NYTimes/qa.csv - - data/030_Professionals/qa.csv - - data/031_Trustpilot/qa.csv - - data/032_Delicatessen/qa.csv - - data/033_Employee/qa.csv - - data/034_World/qa.csv - - data/035_Billboard/qa.csv - - data/036_US/qa.csv - - data/037_Ted/qa.csv - - data/038_Stroke/qa.csv - - data/039_Happy/qa.csv - - data/040_Speed/qa.csv - - data/041_Airline/qa.csv - - data/042_Predict/qa.csv - - data/043_Predict/qa.csv - - data/044_IMDb/qa.csv - - data/045_Predict/qa.csv - - data/046_120/qa.csv - - data/047_Bank/qa.csv - - data/048_Data/qa.csv - - data/049_Boris/qa.csv + - data/001_Forbes/qa.parquet + - data/002_Titanic/qa.parquet + - data/003_Love/qa.parquet + - data/004_Taxi/qa.parquet + - data/005_NYC/qa.parquet + - data/006_London/qa.parquet + - data/007_Fifa/qa.parquet + - data/008_Tornados/qa.parquet + - data/009_Central/qa.parquet + - data/010_ECommerce/qa.parquet + - data/011_SF/qa.parquet + - data/012_Heart/qa.parquet + - data/013_Roller/qa.parquet + - data/014_Airbnb/qa.parquet + - data/015_Food/qa.parquet + - data/016_Holiday/qa.parquet + - data/017_Hacker/qa.parquet + - data/018_Staff/qa.parquet + - data/019_Aircraft/qa.parquet + - data/020_Real/qa.parquet + - data/021_Telco/qa.parquet + - data/022_Airbnbs/qa.parquet + - data/023_Climate/qa.parquet + - data/024_Salary/qa.parquet + - data/025_Data/qa.parquet + - data/026_Predicting/qa.parquet + - data/027_Supermarket/qa.parquet + - data/028_Predict/qa.parquet + - data/029_NYTimes/qa.parquet + - data/030_Professionals/qa.parquet + - data/031_Trustpilot/qa.parquet + - data/032_Delicatessen/qa.parquet + - data/033_Employee/qa.parquet + - data/034_World/qa.parquet + - data/035_Billboard/qa.parquet + - data/036_US/qa.parquet + - data/037_Ted/qa.parquet + - data/038_Stroke/qa.parquet + - data/039_Happy/qa.parquet + - data/040_Speed/qa.parquet + - data/041_Airline/qa.parquet + - data/042_Predict/qa.parquet + - data/043_Predict/qa.parquet + - data/044_IMDb/qa.parquet + - data/045_Predict/qa.parquet + - data/046_120/qa.parquet + - data/047_Bank/qa.parquet + - data/048_Data/qa.parquet + - data/049_Boris/qa.parquet - split: test path: - - data/050_ING/qa.csv - - data/051_Pokemon/qa.csv - - data/052_Professional/qa.csv - - data/053_Patents/qa.csv - - data/054_Joe/qa.csv - - data/055_German/qa.csv - - data/056_Emoji/qa.csv - - data/057_Spain/qa.csv - - data/058_US/qa.csv - - data/059_Second/qa.csv - - data/060_Bakery/qa.csv - - data/061_Disneyland/qa.csv - - data/062_Trump/qa.csv - - data/063_Influencers/qa.csv - - data/064_Clustering/qa.csv - - data/065_RFM/qa.csv + - data/050_ING/qa.parquet + - data/051_Pokemon/qa.parquet + - data/052_Professional/qa.parquet + - data/053_Patents/qa.parquet + - data/054_Joe/qa.parquet + - data/055_German/qa.parquet + - data/056_Emoji/qa.parquet + - data/057_Spain/qa.parquet + - data/058_US/qa.parquet + - data/059_Second/qa.parquet + - data/060_Bakery/qa.parquet + - data/061_Disneyland/qa.parquet + - data/062_Trump/qa.parquet + - data/063_Influencers/qa.parquet + - data/064_Clustering/qa.parquet + - data/065_RFM/qa.parquet --- # πŸ’ΎπŸ‹οΈπŸ’Ύ DataBench πŸ’ΎπŸ‹οΈπŸ’Ύ @@ -453,7 +451,7 @@ By clicking on each name in the table below, you will be able to explore each da | 11 | [SF Police](https://public.graphext.com/ab815ab14f88115c/index.html) | 713107 | 35 | Social Networks and Surveys | [US Gov](https://catalog.data.gov/dataset/police-department-incident-reports-2018-to-present) | | 12 | [Heart Failure](https://public.graphext.com/245cec64075f5542/index.html) | 918 | 12 | Health | [Kaggle](https://www.kaggle.com/datasets/fedesoriano/heart-failure-prediction) | | 13 | [Roller Coasters](https://public.graphext.com/1e550e6c24fc1930/index.html) | 1087 | 56 | Sports and Entertainment | [Kaggle](https://www.kaggle.com/datasets/robikscube/rollercoaster-database) | -| 14 | [Madrid Airbnbs](https://public.graphext.com/77265ea3a63e650f/index.html) | 20776 | 75 | Travel and Locations | [Inside Airbnb](http://data.insideairbnb.com/spain/comunidad-de-madrid/madrid/2023-09-07/data/listings.csv.gz) | +| 14 | [Madrid Airbnbs](https://public.graphext.com/77265ea3a63e650f/index.html) | 20776 | 75 | Travel and Locations | [Inside Airbnb](http://data.insideairbnb.com/spain/comunidad-de-madrid/madrid/2023-09-07/data/listings.parquet.gz) | | 15 | [Food Names](https://public.graphext.com/5aad4c5d6ef140b3/index.html) | 906 | 4 | Business | [Data World](https://data.world/alexandra/generic-food-database) | | 16 | [Holiday Package Sales](https://public.graphext.com/fbc34d3f24282e46/index.html) | 4888 | 20 | Travel and Locations | [Kaggle](https://www.kaggle.com/datasets/susant4learning/holiday-package-purchase-prediction) | | 17 | [Hacker News](https://public.graphext.com/f20501a9d616b5a5/index.html) | 9429 | 20 | Social Networks and Surveys | [Kaggle](https://www.kaggle.com/datasets/hacker-news/hacker-news) | @@ -510,8 +508,8 @@ By clicking on each name in the table below, you will be able to explore each da Each folder represents one dataset. You will find the following files within: * all.parquet: the processed data, with each column tagged with our typing system, in [parquet](https://arrow.apache.org/docs/python/parquet.html). -* qa.csv: contains the human-made set of questions, tagged by type and columns used, for the dataset (sample_answer indicates the answers for DataBench lite) -* sample.csv: sample containing 20 rows of the original dataset (DataBench lite) +* qa.parquet: contains the human-made set of questions, tagged by type and columns used, for the dataset (sample_answer indicates the answers for DataBench lite) +* sample.parquet: sample containing 20 rows of the original dataset (DataBench lite) * info.yml: additional information about the dataset ## πŸ—‚οΈ Column typing system diff --git a/data/001_Forbes/qa.parquet b/data/001_Forbes/qa.parquet new file mode 100644 index 0000000000000000000000000000000000000000..51cc1e7033fe4e7722598efb0870c4028db6a77c Binary files /dev/null and b/data/001_Forbes/qa.parquet 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