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Datasets:
powidla
/
Friend-Or-Foe

Tasks:
Tabular Classification
Tabular Regression
Modalities:
Tabular
Text
Formats:
csv
Languages:
English
Size:
10M - 100M
Tags:
biology
Synthetic
Libraries:
Datasets
pandas
License:
Dataset card Data Studio Files
xet
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powidla commited on
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Update README.md

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  1. README.md +104 -0
README.md CHANGED
@@ -43,6 +43,110 @@ configs:
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  path: "Classification/AGORA/100/BC-III/X_val_BC-III-100.csv"
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  - split: test
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  path: "Classification/AGORA/100/BC-III/X_test_BC-III-100.csv"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # Friend or Foe
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  path: "Classification/AGORA/100/BC-III/X_val_BC-III-100.csv"
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  - split: test
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  path: "Classification/AGORA/100/BC-III/X_test_BC-III-100.csv"
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+ - config_name: Classification_AGORA_BC-IV-100
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+ data_files:
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+ - split: train
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+ path: "Classification/AGORA/100/BC-IV/X_train_BC-IV-100.csv"
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+ - split: val
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+ path: "Classification/AGORA/100/BC-IV/X_val_BC-IV-100.csv"
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+ - split: test
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+ path: "Classification/AGORA/100/BC-IV/X_test_BC-IV-100.csv"
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+ - config_name: Classification_AGORA_BC-V-100
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+ data_files:
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+ - split: train
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+ path: "Classification/AGORA/100/BC-V/X_train_BC-V-100.csv"
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+ - split: val
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+ path: "Classification/AGORA/100/BC-V/X_val_BC-V-100.csv"
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+ - split: test
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+ path: "Classification/AGORA/100/BC-V/X_test_BC-V-100.csv"
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+ - config_name: Classification_AGORA_MC-I-100
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+ data_files:
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+ - split: train
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+ path: "Classification/AGORA/100/MC-I/X_train_MC-I-100.csv"
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+ - split: val
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+ path: "Classification/AGORA/100/MC-I/X_val_MC-I-100.csv"
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+ - split: test
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+ path: "Classification/AGORA/100/MC-I/X_test_MC-I-100.csv"
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+ - config_name: Classification_AGORA_MC-II-100
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+ data_files:
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+ - split: train
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+ path: "Classification/AGORA/100/MC-II/X_train_MC-II-100.csv"
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+ - split: val
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+ path: "Classification/AGORA/100/MC-II/X_val_MC-II-100.csv"
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+ - split: test
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+ path: "Classification/AGORA/100/MC-II/X_test_MC-II-100.csv"
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+ - config_name: Classification_AGORA_MC-III-100
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+ data_files:
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+ - split: train
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+ path: "Classification/AGORA/100/MC-III/X_train_MC-III-100.csv"
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+ - split: val
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+ path: "Classification/AGORA/100/MC-III/X_val_MC-III-100.csv"
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+ - split: test
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+ path: "Classification/AGORA/100/MC-III/X_test_MC-III-100.csv"
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+ - config_name: Classification_AGORA_BC-I-50
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+ data_files:
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+ - split: train
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+ path: "Classification/AGORA/50/BC-I/X_train_BC-I-50.csv"
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+ - split: val
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+ path: "Classification/AGORA/50/BC-I/X_val_BC-I-50.csv"
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+ - split: test
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+ path: "Classification/AGORA/50/BC-I/X_test_BC-I-50.csv"
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+ - config_name: Classification_AGORA_BC-II-50
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+ data_files:
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+ - split: train
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+ path: "Classification/AGORA/50/BC-II/X_train_BC-II-50.csv"
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+ - split: val
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+ path: "Classification/AGORA/50/BC-II/X_val_BC-II-50.csv"
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+ - split: test
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+ path: "Classification/AGORA/50/BC-II/X_test_BC-II-50.csv"
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+ - config_name: Classification_AGORA_BC-III-50
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+ data_files:
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+ - split: train
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+ path: "Classification/AGORA/50/BC-III/X_train_BC-III-50.csv"
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+ - split: val
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+ path: "Classification/AGORA/50/BC-III/X_val_BC-III-50.csv"
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+ - split: test
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+ path: "Classification/AGORA/50/BC-III/X_test_BC-III-50.csv"
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+ - config_name: Classification_AGORA_BC-IV-50
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+ data_files:
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+ - split: train
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+ path: "Classification/AGORA/50/BC-IV/X_train_BC-IV-50.csv"
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+ - split: val
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+ path: "Classification/AGORA/50/BC-IV/X_val_BC-IV-50.csv"
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+ - split: test
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+ path: "Classification/AGORA/50/BC-IV/X_test_BC-IV-50.csv"
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+ - config_name: Classification_AGORA_BC-V-50
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+ data_files:
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+ - split: train
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+ path: "Classification/AGORA/50/BC-V/X_train_BC-V-50.csv"
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+ - split: val
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+ path: "Classification/AGORA/50/BC-V/X_val_BC-V-50.csv"
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+ - split: test
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+ path: "Classification/AGORA/50/BC-V/X_test_BC-V-50.csv"
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+ - config_name: Classification_AGORA_MC-I-50
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+ data_files:
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+ - split: train
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+ path: "Classification/AGORA/50/MC-I/X_train_MC-I-50.csv"
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+ - split: val
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+ path: "Classification/AGORA/50/MC-I/X_val_MC-I-50.csv"
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+ - split: test
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+ path: "Classification/AGORA/50/MC-I/X_test_MC-I-50.csv"
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+ - config_name: Classification_AGORA_MC-II-50
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+ data_files:
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+ - split: train
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+ path: "Classification/AGORA/50/MC-II/X_train_MC-II-50.csv"
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+ - split: val
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+ path: "Classification/AGORA/50/MC-II/X_val_MC-II-50.csv"
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+ - split: test
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+ path: "Classification/AGORA/50/MC-II/X_test_MC-II-50.csv"
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+ - config_name: Classification_AGORA_MC-III-50
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+ data_files:
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+ - split: train
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+ path: "Classification/AGORA/50/MC-III/X_train_MC-III-50.csv"
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+ - split: val
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+ path: "Classification/AGORA/50/MC-III/X_val_MC-III-50.csv"
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+ - split: test
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+ path: "Classification/AGORA/50/MC-III/X_test_MC-III-50.csv"
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  ---
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  # Friend or Foe
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