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Update README.md
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README.md
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@@ -211,138 +211,138 @@ configs:
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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: semeval
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data_files:
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- split: train
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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:
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- split: 001_Forbes
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path: data/001_Forbes/sample.csv
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- split: 002_Titanic
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path: data/002_Titanic/sample.csv
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- split: 003_Love
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path: data/003_Love/sample.csv
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- split: 004_Taxi
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path: data/004_Taxi/sample.csv
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- split: 005_NYC
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path: data/005_NYC/sample.csv
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- split: 006_London
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path: data/006_London/sample.csv
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- split: 007_Fifa
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path: data/007_Fifa/sample.csv
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- split: 008_Tornados
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path: data/008_Tornados/sample.csv
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- split: 009_Central
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path: data/009_Central/sample.csv
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- split: 010_ECommerce
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path: data/010_ECommerce/sample.csv
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- split: 011_SF
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path: data/011_SF/sample.csv
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- split: 012_Heart
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path: data/012_Heart/sample.csv
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- split: 013_Roller
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path: data/013_Roller/sample.csv
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- split: 014_Airbnb
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path: data/014_Airbnb/sample.csv
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- split: 015_Food
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path: data/015_Food/sample.csv
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- split: 016_Holiday
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path: data/016_Holiday/sample.csv
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- split: 017_Hacker
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path: data/017_Hacker/sample.csv
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- split: 018_Staff
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path: data/018_Staff/sample.csv
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- split: 019_Aircraft
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path: data/019_Aircraft/sample.csv
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- split: 020_Real
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path: data/020_Real/sample.csv
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- split: 021_Telco
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path: data/021_Telco/sample.csv
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- split: 022_Airbnbs
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path: data/022_Airbnbs/sample.csv
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- split: 023_Climate
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path: data/023_Climate/sample.csv
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- split: 024_Salary
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path: data/024_Salary/sample.csv
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- split: 025_Data
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path: data/025_Data/sample.csv
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- split: 026_Predicting
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path: data/026_Predicting/sample.csv
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- split: 027_Supermarket
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path: data/027_Supermarket/sample.csv
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- split: 028_Predict
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path: data/028_Predict/sample.csv
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- split: 029_NYTimes
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path: data/029_NYTimes/sample.csv
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- split: 030_Professionals
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path: data/030_Professionals/sample.csv
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- split: 031_Trustpilot
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path: data/031_Trustpilot/sample.csv
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- split: 032_Delicatessen
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path: data/032_Delicatessen/sample.csv
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- split: 033_Employee
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path: data/033_Employee/sample.csv
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- split: 034_World
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path: data/034_World/sample.csv
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- split: 035_Billboard
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path: data/035_Billboard/sample.csv
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- split: 036_US
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path: data/036_US/sample.csv
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- split: 037_Ted
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path: data/037_Ted/sample.csv
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- split: 038_Stroke
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path: data/038_Stroke/sample.csv
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- split: 039_Happy
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path: data/039_Happy/sample.csv
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- split: 040_Speed
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path: data/040_Speed/sample.csv
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- split: 041_Airline
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path: data/041_Airline/sample.csv
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- split: 042_Predict
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path: data/042_Predict/sample.csv
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- split: 043_Predict
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path: data/043_Predict/sample.csv
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- split: 044_IMDb
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path: data/044_IMDb/sample.csv
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- split: 045_Predict
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path: data/045_Predict/sample.csv
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- split: "046_120"
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path: data/046_120/sample.csv
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- split: 047_Bank
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path: data/047_Bank/sample.csv
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- split: 048_Data
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path: data/048_Data/sample.csv
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- split: 049_Boris
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path: data/049_Boris/sample.csv
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- split: 050_ING
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path: data/050_ING/sample.csv
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- split: 051_Pokemon
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path: data/051_Pokemon/sample.csv
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- split: 052_Professional
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path: data/052_Professional/sample.csv
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- split: 053_Patents
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path: data/053_Patents/sample.csv
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- split: 054_Joe
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path: data/054_Joe/sample.csv
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- split: 055_German
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path: data/055_German/sample.csv
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- split: 056_Emoji
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path: data/056_Emoji/sample.csv
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- split: 057_Spain
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path: data/057_Spain/sample.csv
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- split: 058_US
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path: data/058_US/sample.csv
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- split: 059_Second
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path: data/059_Second/sample.csv
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- split: 060_Bakery
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path: data/060_Bakery/sample.csv
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- split: 061_Disneyland
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path: data/061_Disneyland/sample.csv
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- split: 062_Trump
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path: data/062_Trump/sample.csv
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- split: 063_Influencers
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path: data/063_Influencers/sample.csv
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- split: 064_Clustering
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path: data/064_Clustering/sample.csv
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- split: 065_RFM
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path: data/065_RFM/sample.csv
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- config_name: semeval
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data_files:
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- split: train
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