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: 69932
    num_examples: 16
  download_size: 0
  dataset_size: 69932
configs:
- config_name: default
  data_files:
  - split: validation
    path: data/validation-*
---
# Dataset Card for "cstnews_data-temario_results"


rouge= {'rouge1': 0.5207584715132082, 'rouge2': 0.34711381882009107, 'rougeL': 0.38095639884621346, 'rougeLsum': 0.38095639884621346}

bert= {'precision': 0.7428307943046093, 'recall': 0.8364794515073299, 'f1': 0.7866528294980526}

mover = 0.6287250343090405