---
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-*
---