metadata

language:
  - en
license: bsd-3-clause
task_categories:
  - summarization
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*
      - split: test
        path: data/test-*
  - config_name: default-eduscore
    data_files:
      - split: train
        path: default-eduscore/train-*
      - split: validation
        path: default-eduscore/validation-*
      - split: test
        path: default-eduscore/test-*
dataset_info:
  - config_name: default
    features:
      - name: text
        dtype: string
      - name: summary
        dtype: string
      - name: subset
        dtype: string
    splits:
      - name: train
        num_bytes: 1664038656
        num_examples: 54087
      - name: validation
        num_bytes: 127177446
        num_examples: 4262
      - name: test
        num_bytes: 127393855
        num_examples: 4202
    download_size: 1013597564
    dataset_size: 1918609957
  - config_name: default-eduscore
    features:
      - name: text
        dtype: string
      - name: summary
        dtype: string
      - name: subset
        dtype: string
      - name: score
        dtype: float64
      - name: int_score
        dtype: int64
    splits:
      - name: train
        num_bytes: 1501305444
        num_examples: 46816
      - name: validation
        num_bytes: 110155189
        num_examples: 3573
      - name: test
        num_bytes: 107312278
        num_examples: 3424
    download_size: 897338076
    dataset_size: 1718772911
tags:
  - sumstew
  - swag

Dataset Card for "summary-souffle"

DatasetDict({
    train: Dataset({
        features: ['text', 'summary', 'subset'],
        num_rows: 54087
    })
    validation: Dataset({
        features: ['text', 'summary', 'subset'],
        num_rows: 4262
    })
    test: Dataset({
        features: ['text', 'summary', 'subset'],
        num_rows: 4202
    })
})

token counts

402.69M tokens in train

pszemraj/long-t5-tglobal-base-16384-book-summary
         token_len
count      54087.0
mean   7445.306358
std    3868.060978
min          263.0
25%         4180.0
50%         6935.0
75%        10327.0
max        23926.0

v1

lay_plos          20789
multi_news        11708
big_patent         4164
gov_report         3514
summ_screen_fd     3449
billsum            2541
lay_elife          2528
booksum            2383
cnn_dailymail      1705
stacksmol           450
qmsum               396
squality            200
xlsum_en            118
worldbank            90
narrativeqa          49
dialogsum             3
Name: subset, dtype: int64