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metadata
license: mit
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: test
        path: data/test-*
      - split: val
        path: data/val-*
dataset_info:
  features:
    - name: page_arkindex_id
      dtype: string
    - name: page_image
      dtype: image
    - name: page_index
      dtype: int64
    - name: zone_orders
      sequence: int64
    - name: zone_polygons
      sequence:
        sequence:
          sequence: float64
    - name: zone_classes
      sequence:
        class_label:
          names:
            '0': HEADER-TITLE
            '1': HEADER-TEXT
            '2': SECTION-TITLE
            '3': ILLUSTRATION
            '4': ADVERTISEMENT
            '5': ANNOUNCEMENT
            '6': TITLE
            '7': TEXT
            '8': SUBTITLE
            '9': INSIDEHEADING
            '10': CAPTION
            '11': AUTHOR
            '12': TABLE
            '13': ILLUSTRATEDTEXT
            '14': TABLECONTENT
            '15': ASIDE
    - name: zone_texts
      sequence: string
    - name: zone_article_ids
      sequence: int64
    - name: zone_section_ids
      sequence: int64
  splits:
    - name: train
      num_bytes: 9252698919.392
      num_examples: 7957
    - name: test
      num_bytes: 498089523
      num_examples: 433
    - name: val
      num_bytes: 520680343
      num_examples: 446
  download_size: 10051632298
  dataset_size: 10271468785.392
task_categories:
  - image-to-text
  - text-classification
  - image-classification
  - image-segmentation
language:
  - fr
tags:
  - newspapers
pretty_name: Newspaper Finlam La Liberté

Newspaper dataset: Finlam La Liberté

Dataset Description

Dataset Summary

The Finlam La Liberté dataset includes 1500 issues from La Liberté, a French newspaper, from 1925 to 1928.

Each issue contains multiple pages, with one image for each page resized to a fixed height of 2500 pixels.

The dataset can be used to train end-to-end newspaper understanding models, with tasks including:

  • Text zone detection and classification
  • Reading order detection
  • Article separation

The dataset was published during the Finlam project, supported by ANR grant xxx.

Split

set images newspapers
train 7957 1350
val 446 75
test 433 75

Languages

All newspapers in the dataset are French.

Dataset Structure

Data Fields

  • page_arkindex_id: The Arkindex element id corresponding to the current page.
  • page_index: The index of the current page in the newspaper issue.
  • page_image: a PIL.Image object containing the page image. Note that when accessing the image column (using dataset[0]["page_image"]), the image file is automatically decoded. Decoding of a large number of image files might take a significant amount of time. Thus it is important to first query the sample index before the "image" column, i.e. dataset[0]["page_image"] should always be preferred over dataset["page_image"][0].
  • zone_polygons: the list of zone coordinates in the current page.
  • zone_texts: the list of zone texts in the current page.
  • zone_classes: the list of zone classes in the current page.
  • zone_orders: the list of zone indexes in the current page, defining the reading order.
  • zone_article_id: the list of article indexes defining in which article of the newspaper the current zone is located.
  • zone_section_id: the list of section indexes defining in which section of the newspaper the current zone is located.