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: 232168
    num_examples: 25
  download_size: 184320
  dataset_size: 232168
configs:
- config_name: default
  data_files:
  - split: validation
    path: data/validation-*
---
# Dataset Card for "temario_data-temario_results"


Results of the model arthurmluz/ptt5-temario on the dataset godoyj/temario.

'gen_summary' is the generated summary, and both bertScore and Rouge metrics calculated.

mean metrics:

rouge= {'rouge1': 0.43610795130617214, 'rouge2': 0.1909123032482415, 'rougeL': 0.2712262438292888, 'rougeLsum': 0.2712262438292888}

bert= {'precision': 0.7376330280303955, 'recall': 0.7247375249862671, 'f1': 0.7302069187164306}

mover = 0.6236951679558348
