Easy2Hard-IRT-tune / README.md
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metadata
dataset_info:
  - config_name: human_v4
    features:
      - name: irt_model
        dtype: string
      - name: irt_lr
        dtype: string
      - name: irt_epochs
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      - name: irt_std_filter_ratio
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      - name: GPT_2.0_acc
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      - name: GPT_2.0_ratio
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        num_examples: 12
      - name: ARC
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        num_examples: 12
      - name: Winogrande
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        num_examples: 12
    download_size: 10550
    dataset_size: 1686
  - config_name: human_v4_1
    features:
      - name: irt_model
        dtype: string
      - name: irt_lr
        dtype: string
      - name: irt_epochs
        dtype: string
      - name: irt_std_filter_ratio
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      - name: GPT_2.0_acc
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      - name: GPT_2.0_ratio
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        num_examples: 12
      - name: ARC
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        num_examples: 12
      - name: Winogrande
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        num_examples: 12
    download_size: 10534
    dataset_size: 1686
  - config_name: human_v4_2
    features:
      - name: irt_model
        dtype: string
      - name: irt_lr
        dtype: string
      - name: irt_epochs
        dtype: string
      - name: irt_std_filter_ratio
        dtype: float64
      - name: GPT_2.0_acc
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      - name: GPT_2.0_ratio
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        num_examples: 12
      - name: ARC
        num_bytes: 562
        num_examples: 12
      - name: Winogrande
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        num_examples: 12
    download_size: 10534
    dataset_size: 1686
  - config_name: human_v5
    features:
      - name: sha_index
        dtype: string
      - name: irt_model
        dtype: string
      - name: irt_lr
        dtype: string
      - name: irt_epochs
        dtype: string
      - name: irt_std_filter_ratio
        dtype: float64
      - name: GPT_2.0_acc
        dtype: float64
      - name: GPT_2.0_ratio
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        num_examples: 120
      - name: ARC
        num_bytes: 6220
        num_examples: 120
      - name: Winogrande
        num_bytes: 6220
        num_examples: 120
    download_size: 15853
    dataset_size: 18660
  - config_name: new_v4
    features:
      - name: acc_uncertainty
        dtype: float64
      - name: irt_minlikes
        dtype: string
      - name: irt_model
        dtype: 'null'
      - name: irt_lr
        dtype: 'null'
      - name: irt_epochs
        dtype: 'null'
      - name: irt_std_filter_ratio
        dtype: float64
      - name: GPT_0.0_acc
        dtype: float64
      - name: GPT_0.0_ratio
        dtype: float64
      - name: GPT_0.5_acc
        dtype: float64
      - name: GPT_0.5_ratio
        dtype: float64
      - name: GPT_1.0_acc
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      - name: GPT_1.0_ratio
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      - name: GPT_1.5_acc
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      - name: GPT_1.5_ratio
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      - name: GPT_2.0_acc
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      - name: GPT_2.0_ratio
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      - name: GPT_2.5_acc
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      - name: GPT_2.5_ratio
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      - name: GPT_3.0_acc
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      - name: GPT_3.5_acc
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      - name: GPT_3.5_ratio
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      - name: GPT_4.0_ratio
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      - name: GPT_4.5_acc
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      - name: GPT_4.5_ratio
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      - name: GPT_5.0_acc
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        num_examples: 77
      - name: ARC
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        num_examples: 77
      - name: HellaSwag
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        num_examples: 77
      - name: Winogrande
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        num_examples: 77
    download_size: 104580
    dataset_size: 61028
  - config_name: v1
    features:
      - name: 'Unnamed: 0'
        dtype: int64
      - name: irt_params
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      - name: IRT_0_GPT_0
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        num_examples: 276
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        num_examples: 276
      - name: HellaSwag
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        num_examples: 268
      - name: Winogrande
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        num_examples: 266
    download_size: 242426
    dataset_size: 238247
  - config_name: v2
    features:
      - name: 'Unnamed: 0'
        dtype: int64
      - name: irt_params
        dtype: string
      - name: irt_std_filter_ratio
        dtype: float64
      - name: GPT_0
        dtype: float64
      - name: GPT_0.5
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      - name: GPT_1.0
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    splits:
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        num_examples: 288
      - name: ARC
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        num_examples: 288
      - name: HellaSwag
        num_bytes: 29607
        num_examples: 287
      - name: Winogrande
        num_bytes: 29607
        num_examples: 287
    download_size: 77892
    dataset_size: 115182
  - config_name: v3
    features:
      - name: acc_uncertainty
        dtype: float64
      - name: irt_minlikes
        dtype: string
      - name: irt_model
        dtype: string
      - name: irt_lr
        dtype: float64
      - name: irt_epochs
        dtype: int64
      - name: irt_std_filter_ratio
        dtype: float64
      - name: GPT_0.0_acc
        dtype: float64
      - name: GPT_0.0_ratio
        dtype: float64
      - name: GPT_0.5_acc
        dtype: float64
      - name: GPT_0.5_ratio
        dtype: float64
      - name: GPT_1.0_acc
        dtype: float64
      - name: GPT_1.0_ratio
        dtype: float64
      - name: GPT_1.5_acc
        dtype: float64
      - name: GPT_1.5_ratio
        dtype: float64
      - name: GPT_2.0_acc
        dtype: float64
      - name: GPT_2.0_ratio
        dtype: float64
      - name: GPT_2.5_acc
        dtype: float64
      - name: GPT_2.5_ratio
        dtype: float64
      - name: GPT_3.0_acc
        dtype: float64
      - name: GPT_3.0_ratio
        dtype: float64
      - name: GPT_3.5_acc
        dtype: float64
      - name: GPT_3.5_ratio
        dtype: float64
      - name: GPT_4.0_acc
        dtype: float64
      - name: GPT_4.0_ratio
        dtype: float64
      - name: GPT_4.5_acc
        dtype: float64
      - name: GPT_4.5_ratio
        dtype: float64
      - name: GPT_5.0_acc
        dtype: float64
      - name: GPT_5.0_ratio
        dtype: float64
    splits:
      - name: GSM8K
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        num_examples: 137
      - name: ARC
        num_bytes: 30372
        num_examples: 137
      - name: HellaSwag
        num_bytes: 30372
        num_examples: 137
      - name: Winogrande
        num_bytes: 30372
        num_examples: 137
    download_size: 134172
    dataset_size: 121488
  - config_name: v4
    features:
      - name: acc_uncertainty
        dtype: float64
      - name: irt_minlikes
        dtype: string
      - name: irt_model
        dtype: string
      - name: irt_lr
        dtype: float64
      - name: irt_epochs
        dtype: int64
      - name: irt_std_filter_ratio
        dtype: float64
      - name: GPT_0.0_acc
        dtype: float64
      - name: GPT_0.0_ratio
        dtype: float64
      - name: GPT_0.5_acc
        dtype: float64
      - name: GPT_0.5_ratio
        dtype: float64
      - name: GPT_1.0_acc
        dtype: float64
      - name: GPT_1.0_ratio
        dtype: float64
      - name: GPT_1.5_acc
        dtype: float64
      - name: GPT_1.5_ratio
        dtype: float64
      - name: GPT_2.0_acc
        dtype: float64
      - name: GPT_2.0_ratio
        dtype: float64
      - name: GPT_2.5_acc
        dtype: float64
      - name: GPT_2.5_ratio
        dtype: float64
      - name: GPT_3.0_acc
        dtype: float64
      - name: GPT_3.0_ratio
        dtype: float64
      - name: GPT_3.5_acc
        dtype: float64
      - name: GPT_3.5_ratio
        dtype: float64
      - name: GPT_4.0_acc
        dtype: float64
      - name: GPT_4.0_ratio
        dtype: float64
      - name: GPT_4.5_acc
        dtype: float64
      - name: GPT_4.5_ratio
        dtype: float64
      - name: GPT_5.0_acc
        dtype: float64
      - name: GPT_5.0_ratio
        dtype: float64
    splits:
      - name: GSM8K
        num_bytes: 30372
        num_examples: 137
      - name: ARC
        num_bytes: 30372
        num_examples: 137
      - name: HellaSwag
        num_bytes: 30372
        num_examples: 137
      - name: Winogrande
        num_bytes: 30372
        num_examples: 137
    download_size: 138063
    dataset_size: 121488
configs:
  - config_name: human_v4
    data_files:
      - split: GSM8K
        path: human_v4/GSM8K-*
      - split: ARC
        path: human_v4/ARC-*
      - split: Winogrande
        path: human_v4/Winogrande-*
  - config_name: human_v4_1
    data_files:
      - split: GSM8K
        path: human_v4_1/GSM8K-*
      - split: ARC
        path: human_v4_1/ARC-*
      - split: Winogrande
        path: human_v4_1/Winogrande-*
  - config_name: human_v4_2
    data_files:
      - split: GSM8K
        path: human_v4_2/GSM8K-*
      - split: ARC
        path: human_v4_2/ARC-*
      - split: Winogrande
        path: human_v4_2/Winogrande-*
  - config_name: human_v5
    data_files:
      - split: GSM8K
        path: human_v5/GSM8K-*
      - split: ARC
        path: human_v5/ARC-*
      - split: Winogrande
        path: human_v5/Winogrande-*
  - config_name: new_v4
    data_files:
      - split: GSM8K
        path: new_v4/GSM8K-*
      - split: ARC
        path: new_v4/ARC-*
      - split: HellaSwag
        path: new_v4/HellaSwag-*
      - split: Winogrande
        path: new_v4/Winogrande-*
  - config_name: v1
    data_files:
      - split: GSM8K
        path: v1/GSM8K-*
      - split: ARC
        path: v1/ARC-*
      - split: HellaSwag
        path: v1/HellaSwag-*
      - split: Winogrande
        path: v1/Winogrande-*
  - config_name: v2
    data_files:
      - split: GSM8K
        path: v2/GSM8K-*
      - split: ARC
        path: v2/ARC-*
      - split: HellaSwag
        path: v2/HellaSwag-*
      - split: Winogrande
        path: v2/Winogrande-*
  - config_name: v3
    data_files:
      - split: GSM8K
        path: v3/GSM8K-*
      - split: ARC
        path: v3/ARC-*
      - split: HellaSwag
        path: v3/HellaSwag-*
      - split: Winogrande
        path: v3/Winogrande-*
  - config_name: v4
    data_files:
      - split: GSM8K
        path: v4/GSM8K-*
      - split: ARC
        path: v4/ARC-*
      - split: HellaSwag
        path: v4/HellaSwag-*
      - split: Winogrande
        path: v4/Winogrande-*