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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
Community
1
powidla commited on
Commit
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Update README.md

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  1. README.md +466 -466
README.md CHANGED
@@ -19,506 +19,506 @@ size_categories:
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  - 10M<n<100M
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  dataset_type: tabular
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  configs:
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- # - config_name: Classification_AGORA
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- # data_files:
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- # - split: train
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- # path: "Classification/AGORA/train.csv"
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- # - split: val
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- # path: "Classification/AGORA/val.csv"
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- # - split: test
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- # path: "Classification/AGORA/test.csv"
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- # - config_name: Classification_CARVEME
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- # data_files:
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- # - split: train
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- # path: "Classification/CARVEME/train.csv"
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- # - split: val
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- # path: "Classification/CARVEME/val.csv"
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- # - split: test
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- # path: "Classification/CARVEME/test.csv"
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- # - config_name: Regression_AGORA
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- # data_files:
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- # - split: train
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- # path: "Regression/AGORA/train.csv"
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- # - split: val
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- # path: "Regression/AGORA/val.csv"
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- # - split: test
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- # path: "Regression/AGORA/test.csv"
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- # - config_name: Regression_CARVEME
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- # data_files:
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- # - split: train
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- # path: "Regression/CARVEME/train.csv"
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- # - split: val
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- # path: "Regression/CARVEME/val.csv"
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- # - split: test
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- # path: "Regression/CARVEME/test.csv"
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- # - config_name: Transfer_Learning
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- # data_files:
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- # - split: train
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- # path: "Transfer Learning/train.csv"
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- # - split: val
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- # path: "Transfer Learning/val.csv"
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- # - split: test
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- # path: "Transfer Learning/test.csv"
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- # - config_name: Gen_AGORA
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- # data_files:
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- # - split: train
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- # path: "Generative/AGORA/train.csv"
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- # - split: test
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- # path: "Generative/AGORA/test.csv"
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- # - config_name: Gen_CARVEME
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- # data_files:
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- # - split: train
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- # path: "Generative/CARVEME/train.csv"
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- # - split: test
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- # path: "Generative/CARVEME/test.csv"
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- # - config_name: Unsupervised_AGORA
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- # data_files:
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- # - split: train
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- # path: "Clustering/AGORA/AGORA_100.csv"
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- # - config_name: Unsupervised_CARVEME
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- # data_files:
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- # - split: train
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- # path: "Clustering/CARVEME/CARVEME.csv"
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- - config_name: Classification_AGORA_BC-I-100
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- data_files:
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- - split: train
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- path: "Classification/AGORA/100/BC-I/X_train_BC-I-100.csv"
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- - split: val
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- path: "Classification/AGORA/100/BC-I/X_val_BC-I-100.csv"
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- - split: test
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- path: "Classification/AGORA/100/BC-I/X_test_BC-I-100.csv"
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- - config_name: Classification_AGORA_BC-II-100
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- data_files:
92
- - split: train
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- path: "Classification/AGORA/100/BC-II/X_train_BC-II-100.csv"
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- - split: val
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- path: "Classification/AGORA/100/BC-II/X_val_BC-II-100.csv"
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- - split: test
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- path: "Classification/AGORA/100/BC-II/X_test_BC-II-100.csv"
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- - config_name: Classification_AGORA_BC-III-100
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- data_files:
100
- - split: train
101
- path: "Classification/AGORA/100/BC-III/X_train_BC-III-100.csv"
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- - split: val
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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:
124
- - split: train
125
- 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:
148
- - 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:
188
- - 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:
196
- - 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"
202
- - config_name: Classification_AGORA_MC-III-50
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- data_files:
204
- - split: train
205
- 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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- - config_name: Classification_CARVEME_BC-I-100
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- data_files:
212
- - split: train
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- path: "Classification/CARVEME/100/BC-I/X_train_BC-I-100.csv"
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- - split: val
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- path: "Classification/CARVEME/100/BC-I/X_val_BC-I-100.csv"
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- - split: test
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- path: "Classification/CARVEME/100/BC-I/X_test_BC-I-100.csv"
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- - config_name: Classification_CARVEME_BC-II-100
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- data_files:
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- - split: train
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- path: "Classification/CARVEME/100/BC-II/X_train_BC-II-100.csv"
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- - split: val
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- path: "Classification/CARVEME/100/BC-II/X_val_BC-II-100.csv"
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- - split: test
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- path: "Classification/CARVEME/100/BC-II/X_test_BC-II-100.csv"
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- - config_name: Classification_CARVEME_BC-III-100
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- data_files:
228
- - split: train
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- path: "Classification/CARVEME/100/BC-III/X_train_BC-III-100.csv"
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- - split: val
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- path: "Classification/CARVEME/100/BC-III/X_val_BC-III-100.csv"
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- - split: test
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- path: "Classification/CARVEME/100/BC-III/X_test_BC-III-100.csv"
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- - config_name: Classification_CARVEME_BC-IV-100
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- data_files:
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- - split: train
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- path: "Classification/CARVEME/100/BC-IV/X_train_BC-IV-100.csv"
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- - split: val
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- path: "Classification/CARVEME/100/BC-IV/X_val_BC-IV-100.csv"
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- - split: test
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- path: "Classification/CARVEME/100/BC-IV/X_test_BC-IV-100.csv"
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- - config_name: Classification_CARVEME_BC-V-100
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- data_files:
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- - split: train
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- path: "Classification/CARVEME/100/BC-V/X_train_BC-V-100.csv"
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- - split: val
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- path: "Classification/CARVEME/100/BC-V/X_val_BC-V-100.csv"
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- - split: test
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- path: "Classification/CARVEME/100/BC-V/X_test_BC-V-100.csv"
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- - config_name: Classification_CARVEME_MC-I-100
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- data_files:
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- - split: train
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- path: "Classification/CARVEME/100/MC-I/X_train_MC-I-100.csv"
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- - split: val
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- path: "Classification/CARVEME/100/MC-I/X_val_MC-I-100.csv"
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- - split: test
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- path: "Classification/CARVEME/100/MC-I/X_test_MC-I-100.csv"
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- - config_name: Classification_CARVEME_MC-II-100
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- data_files:
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- - split: train
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- path: "Classification/CARVEME/100/MC-II/X_train_MC-II-100.csv"
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- - split: val
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- path: "Classification/CARVEME/100/MC-II/X_val_MC-II-100.csv"
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- - split: test
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- path: "Classification/CARVEME/100/MC-II/X_test_MC-II-100.csv"
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- - config_name: Classification_CARVEME_MC-III-100
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- data_files:
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- - split: train
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- path: "Classification/CARVEME/100/MC-III/X_train_MC-III-100.csv"
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- - split: val
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- path: "Classification/CARVEME/100/MC-III/X_val_MC-III-100.csv"
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- - split: test
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- path: "Classification/CARVEME/100/MC-III/X_test_MC-III-100.csv"
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- - config_name: Classification_CARVEME_BC-I-50
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- data_files:
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- - split: train
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- path: "Classification/CARVEME/50/BC-I/X_train_BC-I-50.csv"
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- - split: val
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- path: "Classification/CARVEME/50/BC-I/X_val_BC-I-50.csv"
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- - split: test
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- path: "Classification/CARVEME/50/BC-I/X_test_BC-I-50.csv"
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- - config_name: Classification_CARVEME_BC-II-50
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- data_files:
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- - split: train
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- path: "Classification/CARVEME/50/BC-II/X_train_BC-II-50.csv"
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- - split: val
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- path: "Classification/CARVEME/50/BC-II/X_val_BC-II-50.csv"
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- - split: test
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- path: "Classification/CARVEME/50/BC-II/X_test_BC-II-50.csv"
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- - config_name: Classification_CARVEME_BC-III-50
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  data_files:
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  - split: train
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- path: "Classification/CARVEME/50/BC-III/X_train_BC-III-50.csv"
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  - split: val
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- path: "Classification/CARVEME/50/BC-III/X_val_BC-III-50.csv"
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  - split: test
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- path: "Classification/CARVEME/50/BC-III/X_test_BC-III-50.csv"
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- - config_name: Classification_CARVEME_BC-IV-50
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  data_files:
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  - split: train
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- path: "Classification/CARVEME/50/BC-IV/X_train_BC-IV-50.csv"
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  - split: val
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- path: "Classification/CARVEME/50/BC-IV/X_val_BC-IV-50.csv"
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  - split: test
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- path: "Classification/CARVEME/50/BC-IV/X_test_BC-IV-50.csv"
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- - config_name: Classification_CARVEME_BC-V-50
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  data_files:
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  - split: train
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- path: "Classification/CARVEME/50/BC-V/X_train_BC-V-50.csv"
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  - split: val
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- path: "Classification/CARVEME/50/BC-V/X_val_BC-V-50.csv"
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  - split: test
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- path: "Classification/CARVEME/50/BC-V/X_test_BC-V-50.csv"
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- - config_name: Classification_CARVEME_MC-I-50
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  data_files:
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  - split: train
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- path: "Classification/CARVEME/50/MC-I/X_train_MC-I-50.csv"
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  - split: val
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- path: "Classification/CARVEME/50/MC-I/X_val_MC-I-50.csv"
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  - split: test
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- path: "Classification/CARVEME/50/MC-I/X_test_MC-I-50.csv"
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- - config_name: Classification_CARVEME_MC-II-50
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  data_files:
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  - split: train
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- path: "Classification/CARVEME/50/MC-II/X_train_MC-II-50.csv"
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  - split: val
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- path: "Classification/CARVEME/50/MC-II/X_val_MC-II-50.csv"
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  - split: test
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- path: "Classification/CARVEME/50/MC-II/X_test_MC-II-50.csv"
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- - config_name: Classification_CARVEME_MC-III-50
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  data_files:
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  - split: train
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- path: "Classification/CARVEME/50/MC-III/X_train_MC-III-50.csv"
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- - split: val
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- path: "Classification/CARVEME/50/MC-III/X_val_MC-III-50.csv"
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- - split: test
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- path: "Classification/CARVEME/50/MC-III/X_test_MC-III-50.csv"
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- - config_name: Regression_AGORA_GR-I-100
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- data_files:
340
- - split: train
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- path: "Regression/AGORA/100/GR-I/X_train_GR-I.csv"
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- - split: val
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- path: "Regression/AGORA/100/GR-I/X_val_GR-I.csv"
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- - split: test
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- path: "Regression/AGORA/100/GR-I/X_test_GR-I.csv"
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- - config_name: Regression_AGORA_GR-II-100
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- data_files:
348
- - split: train
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- path: "Regression/AGORA/100/GR-II/X_train_GR-II.csv"
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- - split: val
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- path: "Regression/AGORA/100/GR-II/X_val_GR-II.csv"
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  - split: test
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- path: "Regression/AGORA/100/GR-II/X_test_GR-II.csv"
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- - config_name: Regression_AGORA_GR-III-100
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  data_files:
356
  - split: train
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- path: "Regression/AGORA/100/GR-III/X_train_GR-III.csv"
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- - split: val
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- path: "Regression/AGORA/100/GR-III/X_val_GR-III.csv"
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  - split: test
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- path: "Regression/AGORA/100/GR-III/X_test_GR-III.csv"
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- - config_name: Regression_AGORA_GR-I-50
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  data_files:
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  - split: train
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- path: "Regression/AGORA/50/GR-I/X_train_GR-I.csv"
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- - split: val
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- path: "Regression/AGORA/50/GR-I/X_val_GR-I.csv"
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- - split: test
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- path: "Regression/AGORA/50/GR-I/X_test_GR-I.csv"
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- - config_name: Regression_AGORA_GR-II-50
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  data_files:
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  - split: train
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- path: "Regression/AGORA/50/GR-II/X_train_GR-II.csv"
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- - split: val
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- path: "Regression/AGORA/50/GR-II/X_val_GR-II.csv"
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- - split: test
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- path: "Regression/AGORA/50/GR-II/X_test_GR-II.csv"
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- - config_name: Regression_AGORA_GR-III-50
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- data_files:
380
- - split: train
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- path: "Regression/AGORA/50/GR-III/X_train_GR-III.csv"
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- - split: val
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- path: "Regression/AGORA/50/GR-III/X_val_GR-III.csv"
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- - split: test
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- path: "Regression/AGORA/50/GR-III/X_test_GR-III.csv"
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- - config_name: Regression_CARVEME_GR-I-100
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- data_files:
388
- - split: train
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- path: "Regression/CARVEME/100/GR-I/X_train_GR-I.csv"
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- - split: val
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- path: "Regression/CARVEME/100/GR-I/X_val_GR-I.csv"
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- - split: test
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- path: "Regression/CARVEME/100/GR-I/X_test_GR-I.csv"
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- - config_name: Regression_CARVEME_GR-II-100
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- data_files:
396
- - split: train
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- path: "Regression/CARVEME/100/GR-II/X_train_GR-II.csv"
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- - split: val
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- path: "Regression/CARVEME/100/GR-II/X_val_GR-II.csv"
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- - split: test
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- path: "Regression/CARVEME/100/GR-II/X_test_GR-II.csv"
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- - config_name: Regression_CARVEME_GR-III-100
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- data_files:
404
- - split: train
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- path: "Regression/CARVEME/100/GR-III/X_train_GR-III.csv"
406
- - split: val
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- path: "Regression/CARVEME/100/GR-III/X_val_GR-III.csv"
408
- - split: test
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- path: "Regression/CARVEME/100/GR-III/X_test_GR-III.csv"
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- - config_name: Regression_CARVEME_GR-I-50
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- data_files:
412
- - split: train
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- path: "Regression/CARVEME/50/GR-I/X_train_GR-I.csv"
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- - split: val
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- path: "Regression/CARVEME/50/GR-I/X_val_GR-I.csv"
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- - split: test
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- path: "Regression/CARVEME/50/GR-I/X_test_GR-I.csv"
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- - config_name: Regression_CARVEME_GR-II-50
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- data_files:
420
- - split: train
421
- path: "Regression/CARVEME/50/GR-II/X_train_GR-II.csv"
422
- - split: val
423
- path: "Regression/CARVEME/50/GR-II/X_val_GR-II.csv"
424
- - split: test
425
- path: "Regression/CARVEME/50/GR-II/X_test_GR-II.csv"
426
- - config_name: Regression_CARVEME_GR-III-50
427
- data_files:
428
- - split: train
429
- path: "Regression/CARVEME/50/GR-III/X_train_GR-III.csv"
430
- - split: val
431
- path: "Regression/CARVEME/50/GR-III/X_val_GR-III.csv"
432
- - split: test
433
- path: "Regression/CARVEME/50/GR-III/X_test_GR-III.csv"
434
- - config_name: Transfer_AGORA_TL-I-100
435
- data_files:
436
- - split: train
437
- path: "Transfer Learning/AGORA/100/TL-I/X_train_TL-I.csv"
438
- - split: val
439
- path: "Transfer Learning/AGORA/100/TL-I/X_val_TL-I.csv"
440
- - split: test
441
- path: "Transfer Learning/AGORA/100/TL-I/X_test_TL-I.csv"
442
- # - config_name: Transfer_AGORA_TL-II-100
443
  # data_files:
444
  # - split: train
445
- # path: "Transfer Learning/AGORA/100/TL-II/X_train_TL-II.csv"
446
  # - split: val
447
- # path: "Transfer Learning/AGORA/100/TL-II/X_val_TL-II.csv"
448
  # - split: test
449
- # path: "Transfer Learning/AGORA/100/TL-II/X_test_TL-II.csv"
450
- - config_name: Transfer_AGORA_TL-I-50
451
- data_files:
452
- - split: train
453
- path: "Transfer Learning/AGORA/50/TL-I/X_train_TL-I.csv"
454
- - split: val
455
- path: "Transfer Learning/AGORA/50/TL-I/X_val_TL-I.csv"
456
- - split: test
457
- path: "Transfer Learning/AGORA/50/TL-I/X_test_TL-I.csv"
458
- - config_name: Transfer_AGORA_TL-II-50
459
- data_files:
460
- - split: train
461
- path: "Transfer Learning/AGORA/50/TL-II/X_train_TL-II.csv"
462
- - split: val
463
- path: "Transfer Learning/AGORA/50/TL-II/X_val_TL-II.csv"
464
- - split: test
465
- path: "Transfer Learning/AGORA/50/TL-II/X_test_TL-II.csv"
466
- - config_name: Transfer_CARVEME_TL-I-100
467
- data_files:
468
- - split: train
469
- path: "Transfer Learning/CARVEME/100/TL-I/X_train_TL-I.csv"
470
- - split: val
471
- path: "Transfer Learning/CARVEME/100/TL-I/X_val_TL-I.csv"
472
- - split: test
473
- path: "Transfer Learning/CARVEME/100/TL-I/X_test_TL-I.csv"
474
- - config_name: Transfer_CARVEME_TL-II-100
475
- data_files:
476
- - split: train
477
- path: "Transfer Learning/CARVEME/100/TL-II/X_train_TL-II.csv"
478
- - split: val
479
- path: "Transfer Learning/CARVEME/100/TL-II/X_val_TL-II.csv"
480
- - split: test
481
- path: "Transfer Learning/CARVEME/100/TL-II/X_test_TL-II.csv"
482
- - config_name: Transfer_CARVEME_TL-I-50
483
- data_files:
484
- - split: train
485
- path: "Transfer Learning/CARVEME/50/TL-I/X_train_TL-I.csv"
486
- - split: val
487
- path: "Transfer Learning/CARVEME/50/TL-I/X_val_TL-I.csv"
488
- - split: test
489
- path: "Transfer Learning/CARVEME/50/TL-I/X_test_TL-I.csv"
490
- - config_name: Transfer_CARVEME_TL-II-50
491
- data_files:
492
- - split: train
493
- path: "Transfer Learning/CARVEME/50/TL-II/X_train_TL-II.csv"
494
- - split: val
495
- path: "Transfer Learning/CARVEME/50/TL-II/X_val_TL-II.csv"
496
- - split: test
497
- path: "Transfer Learning/CARVEME/50/TL-II/X_test_TL-II.csv"
498
- - config_name: Generative_AGORA_100
499
- data_files:
500
- - split: train
501
- path: "Generative/AGORA/100/GEN/df_train_AG-100.csv"
502
- - split: test
503
- path: "Generative/AGORA/100/GEN/df_test_AG-100.csv"
504
- - config_name: Generative_AGORA_50
505
- data_files:
506
- - split: train
507
- path: "Generative/AGORA/50/GEN/df_train_AG-50.csv"
508
- - split: test
509
- path: "Generative/AGORA/50/GEN/df_test_AG-50.csv"
510
- - config_name: Generative_CARVEME_100
511
- data_files:
512
- - split: train
513
- path: "Generative/CARVEME/100/GEN/df_train_CM-100.csv"
514
- - split: test
515
- path: "Generative/CARVEME/100/GEN/df_test_CM-100.csv"
516
- - config_name: Generative_CARVEME_50
517
- data_files:
518
- - split: train
519
- path: "Generative/CARVEME/50/GEN/df_train_CM-50.csv"
520
- - split: test
521
- path: "Generative/CARVEME/50/GEN/df_test_CM-50.csv"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
522
  ---
523
 
524
  Welcome to the Friend or Foe Collection!
 
19
  - 10M<n<100M
20
  dataset_type: tabular
21
  configs:
22
+ - config_name: Classification_AGORA
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
23
  data_files:
24
  - split: train
25
+ path: "Classification/AGORA/train.csv"
26
  - split: val
27
+ path: "Classification/AGORA/val.csv"
28
  - split: test
29
+ path: "Classification/AGORA/test.csv"
30
+ - config_name: Classification_CARVEME
31
  data_files:
32
  - split: train
33
+ path: "Classification/CARVEME/train.csv"
34
  - split: val
35
+ path: "Classification/CARVEME/val.csv"
36
  - split: test
37
+ path: "Classification/CARVEME/test.csv"
38
+ - config_name: Regression_AGORA
39
  data_files:
40
  - split: train
41
+ path: "Regression/AGORA/train.csv"
42
  - split: val
43
+ path: "Regression/AGORA/val.csv"
44
  - split: test
45
+ path: "Regression/AGORA/test.csv"
46
+ - config_name: Regression_CARVEME
47
  data_files:
48
  - split: train
49
+ path: "Regression/CARVEME/train.csv"
50
  - split: val
51
+ path: "Regression/CARVEME/val.csv"
52
  - split: test
53
+ path: "Regression/CARVEME/test.csv"
54
+ - config_name: Transfer_Learning
55
  data_files:
56
  - split: train
57
+ path: "Transfer Learning/train.csv"
58
  - split: val
59
+ path: "Transfer Learning/val.csv"
60
  - split: test
61
+ path: "Transfer Learning/test.csv"
62
+ - config_name: Gen_AGORA
63
  data_files:
64
  - split: train
65
+ path: "Generative/AGORA/train.csv"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
66
  - split: test
67
+ path: "Generative/AGORA/test.csv"
68
+ - config_name: Gen_CARVEME
69
  data_files:
70
  - split: train
71
+ path: "Generative/CARVEME/train.csv"
 
 
72
  - split: test
73
+ path: "Generative/CARVEME/test.csv"
74
+ - config_name: Unsupervised_AGORA
75
  data_files:
76
  - split: train
77
+ path: "Clustering/AGORA/AGORA_100.csv"
78
+ - config_name: Unsupervised_CARVEME
 
 
 
 
79
  data_files:
80
  - split: train
81
+ path: "Clustering/CARVEME/CARVEME.csv"
82
+ # - config_name: Classification_AGORA_BC-I-100
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
83
  # data_files:
84
  # - split: train
85
+ # path: "Classification/AGORA/100/BC-I/X_train_BC-I-100.csv"
86
  # - split: val
87
+ # path: "Classification/AGORA/100/BC-I/X_val_BC-I-100.csv"
88
  # - split: test
89
+ # path: "Classification/AGORA/100/BC-I/X_test_BC-I-100.csv"
90
+ # - config_name: Classification_AGORA_BC-II-100
91
+ # data_files:
92
+ # - split: train
93
+ # path: "Classification/AGORA/100/BC-II/X_train_BC-II-100.csv"
94
+ # - split: val
95
+ # path: "Classification/AGORA/100/BC-II/X_val_BC-II-100.csv"
96
+ # - split: test
97
+ # path: "Classification/AGORA/100/BC-II/X_test_BC-II-100.csv"
98
+ # - config_name: Classification_AGORA_BC-III-100
99
+ # data_files:
100
+ # - split: train
101
+ # path: "Classification/AGORA/100/BC-III/X_train_BC-III-100.csv"
102
+ # - split: val
103
+ # path: "Classification/AGORA/100/BC-III/X_val_BC-III-100.csv"
104
+ # - split: test
105
+ # path: "Classification/AGORA/100/BC-III/X_test_BC-III-100.csv"
106
+ # - config_name: Classification_AGORA_BC-IV-100
107
+ # data_files:
108
+ # - split: train
109
+ # path: "Classification/AGORA/100/BC-IV/X_train_BC-IV-100.csv"
110
+ # - split: val
111
+ # path: "Classification/AGORA/100/BC-IV/X_val_BC-IV-100.csv"
112
+ # - split: test
113
+ # path: "Classification/AGORA/100/BC-IV/X_test_BC-IV-100.csv"
114
+ # - config_name: Classification_AGORA_BC-V-100
115
+ # data_files:
116
+ # - split: train
117
+ # path: "Classification/AGORA/100/BC-V/X_train_BC-V-100.csv"
118
+ # - split: val
119
+ # path: "Classification/AGORA/100/BC-V/X_val_BC-V-100.csv"
120
+ # - split: test
121
+ # path: "Classification/AGORA/100/BC-V/X_test_BC-V-100.csv"
122
+ # - config_name: Classification_AGORA_MC-I-100
123
+ # data_files:
124
+ # - split: train
125
+ # path: "Classification/AGORA/100/MC-I/X_train_MC-I-100.csv"
126
+ # - split: val
127
+ # path: "Classification/AGORA/100/MC-I/X_val_MC-I-100.csv"
128
+ # - split: test
129
+ # path: "Classification/AGORA/100/MC-I/X_test_MC-I-100.csv"
130
+ # - config_name: Classification_AGORA_MC-II-100
131
+ # data_files:
132
+ # - split: train
133
+ # path: "Classification/AGORA/100/MC-II/X_train_MC-II-100.csv"
134
+ # - split: val
135
+ # path: "Classification/AGORA/100/MC-II/X_val_MC-II-100.csv"
136
+ # - split: test
137
+ # path: "Classification/AGORA/100/MC-II/X_test_MC-II-100.csv"
138
+ # - config_name: Classification_AGORA_MC-III-100
139
+ # data_files:
140
+ # - split: train
141
+ # path: "Classification/AGORA/100/MC-III/X_train_MC-III-100.csv"
142
+ # - split: val
143
+ # path: "Classification/AGORA/100/MC-III/X_val_MC-III-100.csv"
144
+ # - split: test
145
+ # path: "Classification/AGORA/100/MC-III/X_test_MC-III-100.csv"
146
+ # - config_name: Classification_AGORA_BC-I-50
147
+ # data_files:
148
+ # - split: train
149
+ # path: "Classification/AGORA/50/BC-I/X_train_BC-I-50.csv"
150
+ # - split: val
151
+ # path: "Classification/AGORA/50/BC-I/X_val_BC-I-50.csv"
152
+ # - split: test
153
+ # path: "Classification/AGORA/50/BC-I/X_test_BC-I-50.csv"
154
+ # - config_name: Classification_AGORA_BC-II-50
155
+ # data_files:
156
+ # - split: train
157
+ # path: "Classification/AGORA/50/BC-II/X_train_BC-II-50.csv"
158
+ # - split: val
159
+ # path: "Classification/AGORA/50/BC-II/X_val_BC-II-50.csv"
160
+ # - split: test
161
+ # path: "Classification/AGORA/50/BC-II/X_test_BC-II-50.csv"
162
+ # - config_name: Classification_AGORA_BC-III-50
163
+ # data_files:
164
+ # - split: train
165
+ # path: "Classification/AGORA/50/BC-III/X_train_BC-III-50.csv"
166
+ # - split: val
167
+ # path: "Classification/AGORA/50/BC-III/X_val_BC-III-50.csv"
168
+ # - split: test
169
+ # path: "Classification/AGORA/50/BC-III/X_test_BC-III-50.csv"
170
+ # - config_name: Classification_AGORA_BC-IV-50
171
+ # data_files:
172
+ # - split: train
173
+ # path: "Classification/AGORA/50/BC-IV/X_train_BC-IV-50.csv"
174
+ # - split: val
175
+ # path: "Classification/AGORA/50/BC-IV/X_val_BC-IV-50.csv"
176
+ # - split: test
177
+ # path: "Classification/AGORA/50/BC-IV/X_test_BC-IV-50.csv"
178
+ # - config_name: Classification_AGORA_BC-V-50
179
+ # data_files:
180
+ # - split: train
181
+ # path: "Classification/AGORA/50/BC-V/X_train_BC-V-50.csv"
182
+ # - split: val
183
+ # path: "Classification/AGORA/50/BC-V/X_val_BC-V-50.csv"
184
+ # - split: test
185
+ # path: "Classification/AGORA/50/BC-V/X_test_BC-V-50.csv"
186
+ # - config_name: Classification_AGORA_MC-I-50
187
+ # data_files:
188
+ # - split: train
189
+ # path: "Classification/AGORA/50/MC-I/X_train_MC-I-50.csv"
190
+ # - split: val
191
+ # path: "Classification/AGORA/50/MC-I/X_val_MC-I-50.csv"
192
+ # - split: test
193
+ # path: "Classification/AGORA/50/MC-I/X_test_MC-I-50.csv"
194
+ # - config_name: Classification_AGORA_MC-II-50
195
+ # data_files:
196
+ # - split: train
197
+ # path: "Classification/AGORA/50/MC-II/X_train_MC-II-50.csv"
198
+ # - split: val
199
+ # path: "Classification/AGORA/50/MC-II/X_val_MC-II-50.csv"
200
+ # - split: test
201
+ # path: "Classification/AGORA/50/MC-II/X_test_MC-II-50.csv"
202
+ # - config_name: Classification_AGORA_MC-III-50
203
+ # data_files:
204
+ # - split: train
205
+ # path: "Classification/AGORA/50/MC-III/X_train_MC-III-50.csv"
206
+ # - split: val
207
+ # path: "Classification/AGORA/50/MC-III/X_val_MC-III-50.csv"
208
+ # - split: test
209
+ # path: "Classification/AGORA/50/MC-III/X_test_MC-III-50.csv"
210
+ # - config_name: Classification_CARVEME_BC-I-100
211
+ # data_files:
212
+ # - split: train
213
+ # path: "Classification/CARVEME/100/BC-I/X_train_BC-I-100.csv"
214
+ # - split: val
215
+ # path: "Classification/CARVEME/100/BC-I/X_val_BC-I-100.csv"
216
+ # - split: test
217
+ # path: "Classification/CARVEME/100/BC-I/X_test_BC-I-100.csv"
218
+ # - config_name: Classification_CARVEME_BC-II-100
219
+ # data_files:
220
+ # - split: train
221
+ # path: "Classification/CARVEME/100/BC-II/X_train_BC-II-100.csv"
222
+ # - split: val
223
+ # path: "Classification/CARVEME/100/BC-II/X_val_BC-II-100.csv"
224
+ # - split: test
225
+ # path: "Classification/CARVEME/100/BC-II/X_test_BC-II-100.csv"
226
+ # - config_name: Classification_CARVEME_BC-III-100
227
+ # data_files:
228
+ # - split: train
229
+ # path: "Classification/CARVEME/100/BC-III/X_train_BC-III-100.csv"
230
+ # - split: val
231
+ # path: "Classification/CARVEME/100/BC-III/X_val_BC-III-100.csv"
232
+ # - split: test
233
+ # path: "Classification/CARVEME/100/BC-III/X_test_BC-III-100.csv"
234
+ # - config_name: Classification_CARVEME_BC-IV-100
235
+ # data_files:
236
+ # - split: train
237
+ # path: "Classification/CARVEME/100/BC-IV/X_train_BC-IV-100.csv"
238
+ # - split: val
239
+ # path: "Classification/CARVEME/100/BC-IV/X_val_BC-IV-100.csv"
240
+ # - split: test
241
+ # path: "Classification/CARVEME/100/BC-IV/X_test_BC-IV-100.csv"
242
+ # - config_name: Classification_CARVEME_BC-V-100
243
+ # data_files:
244
+ # - split: train
245
+ # path: "Classification/CARVEME/100/BC-V/X_train_BC-V-100.csv"
246
+ # - split: val
247
+ # path: "Classification/CARVEME/100/BC-V/X_val_BC-V-100.csv"
248
+ # - split: test
249
+ # path: "Classification/CARVEME/100/BC-V/X_test_BC-V-100.csv"
250
+ # - config_name: Classification_CARVEME_MC-I-100
251
+ # data_files:
252
+ # - split: train
253
+ # path: "Classification/CARVEME/100/MC-I/X_train_MC-I-100.csv"
254
+ # - split: val
255
+ # path: "Classification/CARVEME/100/MC-I/X_val_MC-I-100.csv"
256
+ # - split: test
257
+ # path: "Classification/CARVEME/100/MC-I/X_test_MC-I-100.csv"
258
+ # - config_name: Classification_CARVEME_MC-II-100
259
+ # data_files:
260
+ # - split: train
261
+ # path: "Classification/CARVEME/100/MC-II/X_train_MC-II-100.csv"
262
+ # - split: val
263
+ # path: "Classification/CARVEME/100/MC-II/X_val_MC-II-100.csv"
264
+ # - split: test
265
+ # path: "Classification/CARVEME/100/MC-II/X_test_MC-II-100.csv"
266
+ # - config_name: Classification_CARVEME_MC-III-100
267
+ # data_files:
268
+ # - split: train
269
+ # path: "Classification/CARVEME/100/MC-III/X_train_MC-III-100.csv"
270
+ # - split: val
271
+ # path: "Classification/CARVEME/100/MC-III/X_val_MC-III-100.csv"
272
+ # - split: test
273
+ # path: "Classification/CARVEME/100/MC-III/X_test_MC-III-100.csv"
274
+ # - config_name: Classification_CARVEME_BC-I-50
275
+ # data_files:
276
+ # - split: train
277
+ # path: "Classification/CARVEME/50/BC-I/X_train_BC-I-50.csv"
278
+ # - split: val
279
+ # path: "Classification/CARVEME/50/BC-I/X_val_BC-I-50.csv"
280
+ # - split: test
281
+ # path: "Classification/CARVEME/50/BC-I/X_test_BC-I-50.csv"
282
+ # - config_name: Classification_CARVEME_BC-II-50
283
+ # data_files:
284
+ # - split: train
285
+ # path: "Classification/CARVEME/50/BC-II/X_train_BC-II-50.csv"
286
+ # - split: val
287
+ # path: "Classification/CARVEME/50/BC-II/X_val_BC-II-50.csv"
288
+ # - split: test
289
+ # path: "Classification/CARVEME/50/BC-II/X_test_BC-II-50.csv"
290
+ # - config_name: Classification_CARVEME_BC-III-50
291
+ # data_files:
292
+ # - split: train
293
+ # path: "Classification/CARVEME/50/BC-III/X_train_BC-III-50.csv"
294
+ # - split: val
295
+ # path: "Classification/CARVEME/50/BC-III/X_val_BC-III-50.csv"
296
+ # - split: test
297
+ # path: "Classification/CARVEME/50/BC-III/X_test_BC-III-50.csv"
298
+ # - config_name: Classification_CARVEME_BC-IV-50
299
+ # data_files:
300
+ # - split: train
301
+ # path: "Classification/CARVEME/50/BC-IV/X_train_BC-IV-50.csv"
302
+ # - split: val
303
+ # path: "Classification/CARVEME/50/BC-IV/X_val_BC-IV-50.csv"
304
+ # - split: test
305
+ # path: "Classification/CARVEME/50/BC-IV/X_test_BC-IV-50.csv"
306
+ # - config_name: Classification_CARVEME_BC-V-50
307
+ # data_files:
308
+ # - split: train
309
+ # path: "Classification/CARVEME/50/BC-V/X_train_BC-V-50.csv"
310
+ # - split: val
311
+ # path: "Classification/CARVEME/50/BC-V/X_val_BC-V-50.csv"
312
+ # - split: test
313
+ # path: "Classification/CARVEME/50/BC-V/X_test_BC-V-50.csv"
314
+ # - config_name: Classification_CARVEME_MC-I-50
315
+ # data_files:
316
+ # - split: train
317
+ # path: "Classification/CARVEME/50/MC-I/X_train_MC-I-50.csv"
318
+ # - split: val
319
+ # path: "Classification/CARVEME/50/MC-I/X_val_MC-I-50.csv"
320
+ # - split: test
321
+ # path: "Classification/CARVEME/50/MC-I/X_test_MC-I-50.csv"
322
+ # - config_name: Classification_CARVEME_MC-II-50
323
+ # data_files:
324
+ # - split: train
325
+ # path: "Classification/CARVEME/50/MC-II/X_train_MC-II-50.csv"
326
+ # - split: val
327
+ # path: "Classification/CARVEME/50/MC-II/X_val_MC-II-50.csv"
328
+ # - split: test
329
+ # path: "Classification/CARVEME/50/MC-II/X_test_MC-II-50.csv"
330
+ # - config_name: Classification_CARVEME_MC-III-50
331
+ # data_files:
332
+ # - split: train
333
+ # path: "Classification/CARVEME/50/MC-III/X_train_MC-III-50.csv"
334
+ # - split: val
335
+ # path: "Classification/CARVEME/50/MC-III/X_val_MC-III-50.csv"
336
+ # - split: test
337
+ # path: "Classification/CARVEME/50/MC-III/X_test_MC-III-50.csv"
338
+ # - config_name: Regression_AGORA_GR-I-100
339
+ # data_files:
340
+ # - split: train
341
+ # path: "Regression/AGORA/100/GR-I/X_train_GR-I.csv"
342
+ # - split: val
343
+ # path: "Regression/AGORA/100/GR-I/X_val_GR-I.csv"
344
+ # - split: test
345
+ # path: "Regression/AGORA/100/GR-I/X_test_GR-I.csv"
346
+ # - config_name: Regression_AGORA_GR-II-100
347
+ # data_files:
348
+ # - split: train
349
+ # path: "Regression/AGORA/100/GR-II/X_train_GR-II.csv"
350
+ # - split: val
351
+ # path: "Regression/AGORA/100/GR-II/X_val_GR-II.csv"
352
+ # - split: test
353
+ # path: "Regression/AGORA/100/GR-II/X_test_GR-II.csv"
354
+ # - config_name: Regression_AGORA_GR-III-100
355
+ # data_files:
356
+ # - split: train
357
+ # path: "Regression/AGORA/100/GR-III/X_train_GR-III.csv"
358
+ # - split: val
359
+ # path: "Regression/AGORA/100/GR-III/X_val_GR-III.csv"
360
+ # - split: test
361
+ # path: "Regression/AGORA/100/GR-III/X_test_GR-III.csv"
362
+ # - config_name: Regression_AGORA_GR-I-50
363
+ # data_files:
364
+ # - split: train
365
+ # path: "Regression/AGORA/50/GR-I/X_train_GR-I.csv"
366
+ # - split: val
367
+ # path: "Regression/AGORA/50/GR-I/X_val_GR-I.csv"
368
+ # - split: test
369
+ # path: "Regression/AGORA/50/GR-I/X_test_GR-I.csv"
370
+ # - config_name: Regression_AGORA_GR-II-50
371
+ # data_files:
372
+ # - split: train
373
+ # path: "Regression/AGORA/50/GR-II/X_train_GR-II.csv"
374
+ # - split: val
375
+ # path: "Regression/AGORA/50/GR-II/X_val_GR-II.csv"
376
+ # - split: test
377
+ # path: "Regression/AGORA/50/GR-II/X_test_GR-II.csv"
378
+ # - config_name: Regression_AGORA_GR-III-50
379
+ # data_files:
380
+ # - split: train
381
+ # path: "Regression/AGORA/50/GR-III/X_train_GR-III.csv"
382
+ # - split: val
383
+ # path: "Regression/AGORA/50/GR-III/X_val_GR-III.csv"
384
+ # - split: test
385
+ # path: "Regression/AGORA/50/GR-III/X_test_GR-III.csv"
386
+ # - config_name: Regression_CARVEME_GR-I-100
387
+ # data_files:
388
+ # - split: train
389
+ # path: "Regression/CARVEME/100/GR-I/X_train_GR-I.csv"
390
+ # - split: val
391
+ # path: "Regression/CARVEME/100/GR-I/X_val_GR-I.csv"
392
+ # - split: test
393
+ # path: "Regression/CARVEME/100/GR-I/X_test_GR-I.csv"
394
+ # - config_name: Regression_CARVEME_GR-II-100
395
+ # data_files:
396
+ # - split: train
397
+ # path: "Regression/CARVEME/100/GR-II/X_train_GR-II.csv"
398
+ # - split: val
399
+ # path: "Regression/CARVEME/100/GR-II/X_val_GR-II.csv"
400
+ # - split: test
401
+ # path: "Regression/CARVEME/100/GR-II/X_test_GR-II.csv"
402
+ # - config_name: Regression_CARVEME_GR-III-100
403
+ # data_files:
404
+ # - split: train
405
+ # path: "Regression/CARVEME/100/GR-III/X_train_GR-III.csv"
406
+ # - split: val
407
+ # path: "Regression/CARVEME/100/GR-III/X_val_GR-III.csv"
408
+ # - split: test
409
+ # path: "Regression/CARVEME/100/GR-III/X_test_GR-III.csv"
410
+ # - config_name: Regression_CARVEME_GR-I-50
411
+ # data_files:
412
+ # - split: train
413
+ # path: "Regression/CARVEME/50/GR-I/X_train_GR-I.csv"
414
+ # - split: val
415
+ # path: "Regression/CARVEME/50/GR-I/X_val_GR-I.csv"
416
+ # - split: test
417
+ # path: "Regression/CARVEME/50/GR-I/X_test_GR-I.csv"
418
+ # - config_name: Regression_CARVEME_GR-II-50
419
+ # data_files:
420
+ # - split: train
421
+ # path: "Regression/CARVEME/50/GR-II/X_train_GR-II.csv"
422
+ # - split: val
423
+ # path: "Regression/CARVEME/50/GR-II/X_val_GR-II.csv"
424
+ # - split: test
425
+ # path: "Regression/CARVEME/50/GR-II/X_test_GR-II.csv"
426
+ # - config_name: Regression_CARVEME_GR-III-50
427
+ # data_files:
428
+ # - split: train
429
+ # path: "Regression/CARVEME/50/GR-III/X_train_GR-III.csv"
430
+ # - split: val
431
+ # path: "Regression/CARVEME/50/GR-III/X_val_GR-III.csv"
432
+ # - split: test
433
+ # path: "Regression/CARVEME/50/GR-III/X_test_GR-III.csv"
434
+ # - config_name: Transfer_AGORA_TL-I-100
435
+ # data_files:
436
+ # - split: train
437
+ # path: "Transfer Learning/AGORA/100/TL-I/X_train_TL-I.csv"
438
+ # - split: val
439
+ # path: "Transfer Learning/AGORA/100/TL-I/X_val_TL-I.csv"
440
+ # - split: test
441
+ # path: "Transfer Learning/AGORA/100/TL-I/X_test_TL-I.csv"
442
+ # # - config_name: Transfer_AGORA_TL-II-100
443
+ # # data_files:
444
+ # # - split: train
445
+ # # path: "Transfer Learning/AGORA/100/TL-II/X_train_TL-II.csv"
446
+ # # - split: val
447
+ # # path: "Transfer Learning/AGORA/100/TL-II/X_val_TL-II.csv"
448
+ # # - split: test
449
+ # # path: "Transfer Learning/AGORA/100/TL-II/X_test_TL-II.csv"
450
+ # - config_name: Transfer_AGORA_TL-I-50
451
+ # data_files:
452
+ # - split: train
453
+ # path: "Transfer Learning/AGORA/50/TL-I/X_train_TL-I.csv"
454
+ # - split: val
455
+ # path: "Transfer Learning/AGORA/50/TL-I/X_val_TL-I.csv"
456
+ # - split: test
457
+ # path: "Transfer Learning/AGORA/50/TL-I/X_test_TL-I.csv"
458
+ # - config_name: Transfer_AGORA_TL-II-50
459
+ # data_files:
460
+ # - split: train
461
+ # path: "Transfer Learning/AGORA/50/TL-II/X_train_TL-II.csv"
462
+ # - split: val
463
+ # path: "Transfer Learning/AGORA/50/TL-II/X_val_TL-II.csv"
464
+ # - split: test
465
+ # path: "Transfer Learning/AGORA/50/TL-II/X_test_TL-II.csv"
466
+ # - config_name: Transfer_CARVEME_TL-I-100
467
+ # data_files:
468
+ # - split: train
469
+ # path: "Transfer Learning/CARVEME/100/TL-I/X_train_TL-I.csv"
470
+ # - split: val
471
+ # path: "Transfer Learning/CARVEME/100/TL-I/X_val_TL-I.csv"
472
+ # - split: test
473
+ # path: "Transfer Learning/CARVEME/100/TL-I/X_test_TL-I.csv"
474
+ # - config_name: Transfer_CARVEME_TL-II-100
475
+ # data_files:
476
+ # - split: train
477
+ # path: "Transfer Learning/CARVEME/100/TL-II/X_train_TL-II.csv"
478
+ # - split: val
479
+ # path: "Transfer Learning/CARVEME/100/TL-II/X_val_TL-II.csv"
480
+ # - split: test
481
+ # path: "Transfer Learning/CARVEME/100/TL-II/X_test_TL-II.csv"
482
+ # - config_name: Transfer_CARVEME_TL-I-50
483
+ # data_files:
484
+ # - split: train
485
+ # path: "Transfer Learning/CARVEME/50/TL-I/X_train_TL-I.csv"
486
+ # - split: val
487
+ # path: "Transfer Learning/CARVEME/50/TL-I/X_val_TL-I.csv"
488
+ # - split: test
489
+ # path: "Transfer Learning/CARVEME/50/TL-I/X_test_TL-I.csv"
490
+ # - config_name: Transfer_CARVEME_TL-II-50
491
+ # data_files:
492
+ # - split: train
493
+ # path: "Transfer Learning/CARVEME/50/TL-II/X_train_TL-II.csv"
494
+ # - split: val
495
+ # path: "Transfer Learning/CARVEME/50/TL-II/X_val_TL-II.csv"
496
+ # - split: test
497
+ # path: "Transfer Learning/CARVEME/50/TL-II/X_test_TL-II.csv"
498
+ # - config_name: Generative_AGORA_100
499
+ # data_files:
500
+ # - split: train
501
+ # path: "Generative/AGORA/100/GEN/df_train_AG-100.csv"
502
+ # - split: test
503
+ # path: "Generative/AGORA/100/GEN/df_test_AG-100.csv"
504
+ # - config_name: Generative_AGORA_50
505
+ # data_files:
506
+ # - split: train
507
+ # path: "Generative/AGORA/50/GEN/df_train_AG-50.csv"
508
+ # - split: test
509
+ # path: "Generative/AGORA/50/GEN/df_test_AG-50.csv"
510
+ # - config_name: Generative_CARVEME_100
511
+ # data_files:
512
+ # - split: train
513
+ # path: "Generative/CARVEME/100/GEN/df_train_CM-100.csv"
514
+ # - split: test
515
+ # path: "Generative/CARVEME/100/GEN/df_test_CM-100.csv"
516
+ # - config_name: Generative_CARVEME_50
517
+ # data_files:
518
+ # - split: train
519
+ # path: "Generative/CARVEME/50/GEN/df_train_CM-50.csv"
520
+ # - split: test
521
+ # path: "Generative/CARVEME/50/GEN/df_test_CM-50.csv"
522
  ---
523
 
524
  Welcome to the Friend or Foe Collection!