size_categories:n<1K format:parquet modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
dataset_info:
  features:
  - name: id
    dtype: string
  - name: text
    dtype: string
  - name: summary
    dtype: string
  - name: gen_summary
    dtype: string
  - name: rouge
    struct:
    - name: rouge1
      dtype: float64
    - name: rouge2
      dtype: float64
    - name: rougeL
      dtype: float64
    - name: rougeLsum
      dtype: float64
  - name: bert
    struct:
    - name: f1
      sequence: float64
    - name: hashcode
      dtype: string
    - name: precision
      sequence: float64
    - name: recall
      sequence: float64
  - name: moverScore
    dtype: float64
  splits:
  - name: validation
    num_bytes: 235004
    num_examples: 25
  download_size: 187245
  dataset_size: 235004
configs:
- config_name: default
  data_files:
  - split: validation
    path: data/validation-*
---
# Dataset Card for "temario_data-cstnews_results"

rouge= {'rouge1': 0.4625552716828615, 'rouge2': 0.19128215243444158, 'rougeL': 0.2812235162681903, 'rougeLsum': 0.2812235162681903}

bert= {'precision': 0.731306676864624, 'recall': 0.7333952784538269, 'f1': 0.7321366620063782}

moverscore = 0.632796284594281