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metadata
dataset_info:
  - config_name: EduScore
    features:
      - name: article
        dtype: string
      - name: summary
        dtype: string
      - name: fineweb-edu-classifier_score
        dtype: float64
      - name: fineweb-edu-classifier_int_score
        dtype: int64
    splits:
      - name: train
        num_bytes: 202439263
        num_examples: 146488
    download_size: 132708308
    dataset_size: 202439263
  - config_name: SimScore
    features:
      - name: document
        dtype: string
      - name: summary
        dtype: string
      - name: id
        dtype: string
      - name: hallucination_score
        dtype: float64
    splits:
      - name: train
        num_bytes: 34727321
        num_examples: 25000
    download_size: 22920073
    dataset_size: 34727321
  - config_name: SummaryEval
    features:
      - name: document
        dtype: string
      - name: summary
        dtype: string
      - name: id
        dtype: string
      - name: hallucination_score
        dtype: float64
    splits:
      - name: train
        num_bytes: 182537652
        num_examples: 131779
    download_size: 120426972
    dataset_size: 182537652
  - config_name: SummaryEval10K
    features:
      - name: document
        dtype: string
      - name: summary
        dtype: string
      - name: id
        dtype: string
      - name: hallucination_score
        dtype: float64
      - name: cross_encoder_similarity_score
        dtype: float64
      - name: m3_score
        dtype: float64
      - name: m3_dict
        struct:
          - name: colbert
            dtype: float64
          - name: colbert+sparse+dense
            dtype: float64
          - name: dense
            dtype: float64
          - name: sparse
            dtype: float64
          - name: sparse+dense
            dtype: float64
    splits:
      - name: train
        num_bytes: 14432829
        num_examples: 10000
    download_size: 9517492
    dataset_size: 14432829
  - config_name: SummaryScored
    features:
      - name: document
        dtype: string
      - name: summary
        dtype: string
      - name: id
        dtype: string
      - name: hallucination_score
        dtype: float64
      - name: cross_encoder_similarity_score
        dtype: float64
      - name: m3_score
        dtype: float64
      - name: m3_dict
        struct:
          - name: colbert
            dtype: float64
          - name: colbert+sparse+dense
            dtype: float64
          - name: dense
            dtype: float64
          - name: sparse
            dtype: float64
          - name: sparse+dense
            dtype: float64
    splits:
      - name: train
        num_bytes: 189917276
        num_examples: 131779
    download_size: 124877504
    dataset_size: 189917276
configs:
  - config_name: EduScore
    data_files:
      - split: train
        path: EduScore/train-*
  - config_name: SimScore
    data_files:
      - split: train
        path: SimScore/train-*
  - config_name: SummaryEval
    data_files:
      - split: train
        path: SummaryEval/train-*
  - config_name: SummaryEval10K
    data_files:
      - split: train
        path: SummaryEval10K/train-*
  - config_name: SummaryScored
    data_files:
      - split: train
        path: SummaryScored/train-*