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: 228776
    num_examples: 25
  download_size: 181580
  dataset_size: 228776
configs:
- config_name: default
  data_files:
  - split: validation
    path: data/validation-*
---
# Dataset Card for "temario_data-xlsum_gptextsum2_results"

rouge= {'rouge1': 0.41527671599026306, 'rouge2': 0.15216375743250313, 'rougeL': 0.2336496143136067, 'rougeLsum': 0.2336496143136067}

bert= {'precision': 0.7253225016593933, 'recall': 0.7107182025909424, 'f1': 0.7176165866851807}

mover = 0.6200280069222645
