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Datasets:
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Newspapers-finlam-La-Liberte

Tasks:
Image-to-Text
Text Classification
Image Classification
Modalities:
Image
Text
Formats:
parquet
Languages:
French
Size:
1K - 10K
Tags:
newspapers
Libraries:
Datasets
Dask
License:
Dataset card Data Studio Files Community
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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

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.