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--- |
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license: mit |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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- split: test |
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path: data/test-* |
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- split: val |
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path: data/val-* |
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dataset_info: |
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features: |
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- name: page_arkindex_id |
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dtype: string |
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- name: page_image |
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dtype: image |
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- name: page_index |
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dtype: int64 |
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- name: zone_orders |
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sequence: int64 |
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- name: zone_polygons |
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sequence: |
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sequence: |
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sequence: float64 |
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- name: zone_classes |
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sequence: |
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class_label: |
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names: |
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'0': HEADER-TITLE |
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'1': HEADER-TEXT |
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'2': SECTION-TITLE |
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'3': ILLUSTRATION |
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'4': ADVERTISEMENT |
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'5': ANNOUNCEMENT |
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'6': TITLE |
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'7': TEXT |
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'8': SUBTITLE |
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'9': INSIDEHEADING |
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'10': CAPTION |
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'11': AUTHOR |
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'12': TABLE |
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'13': ILLUSTRATEDTEXT |
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'14': TABLECONTENT |
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'15': ASIDE |
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- name: zone_texts |
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sequence: string |
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- name: zone_article_ids |
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sequence: int64 |
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- name: zone_section_ids |
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sequence: int64 |
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splits: |
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- name: train |
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num_bytes: 9252698919.392 |
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num_examples: 7957 |
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- name: test |
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num_bytes: 498089523 |
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num_examples: 433 |
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- name: val |
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num_bytes: 520680343 |
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num_examples: 446 |
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download_size: 10051632298 |
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dataset_size: 10271468785.392 |
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task_categories: |
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- image-to-text |
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- text-classification |
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- image-classification |
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- image-segmentation |
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language: |
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- fr |
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tags: |
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- newspapers |
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pretty_name: Newspaper Finlam La Liberté |
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--- |
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# Newspaper dataset: Finlam La Liberté |
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## Dataset Description |
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- **Homepage:** [Finlam](https://finlam.projets.litislab.fr/) |
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- **Point of Contact:** [TEKLIA](https://teklia.com) |
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## Dataset Summary |
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The **Finlam La Liberté** dataset includes 1500 issues from La Liberté, a French newspaper, from 1925 to 1928. |
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Each issue contains multiple pages, with one image for each page resized to a fixed height of 2500 pixels. |
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The dataset can be used to train end-to-end newspaper understanding models, with tasks including: |
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* Text zone detection and classification |
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* Reading order detection |
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* Article separation |
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### Split |
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| set | images | newspapers | |
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| ----- | ------:| ----------:| |
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| train | 7957 | 1350 | |
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| val | 446 | 75 | |
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| test | 433 | 75 | |
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### Languages |
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All newspapers in the dataset are French. |
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## Dataset Structure |
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### Data Fields |
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- `page_arkindex_id`: The Arkindex element id corresponding to the current page. |
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- `page_index`: The index of the current page in the newspaper issue. |
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- `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]. |
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- `zone_polygons`: the list of zone coordinates in the current page. |
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- `zone_texts`: the list of zone texts in the current page. |
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- `zone_classes`: the list of zone classes in the current page. |
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- `zone_orders`: the list of zone indexes in the current page, defining the reading order. |
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- `zone_article_id`: the list of article indexes defining in which article of the newspaper the current zone is located. |
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- `zone_section_id`: the list of section indexes defining in which section of the newspaper the current zone is located. |
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