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--- |
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license: mit |
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dataset_info: |
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features: |
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- name: newspaper_name |
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dtype: string |
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- name: newspaper_arkindex_id |
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dtype: string |
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- name: page_arkindex_id |
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dtype: string |
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- name: page_index |
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dtype: int64 |
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- name: page_image |
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dtype: image |
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- name: zone_arkindex_ids |
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sequence: string |
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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_texts |
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sequence: string |
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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': ARTICLE-ILLUSTRATION |
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'3': ADVERTISEMENT |
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'4': ANNOUNCEMENT |
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'5': ARTICLE-TITLE |
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'6': ARTICLE-TEXT |
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'7': ARTICLE-SUBTITLE |
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'8': ARTICLE-INSIDEHEADING |
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'9': CAPTION |
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'10': AUTHOR |
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'11': ARTICLE-TABLE |
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'12': SECTION-TITLE |
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- name: zone_orders |
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sequence: int64 |
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- name: article_id |
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sequence: int64 |
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splits: |
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- name: train |
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num_bytes: 911036067.0 |
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num_examples: 623 |
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- name: val |
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num_bytes: 75099123.0 |
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num_examples: 50 |
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- name: test |
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num_bytes: 71901518.0 |
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num_examples: 48 |
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download_size: 1038604332 |
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dataset_size: 1058036708.0 |
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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: val |
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path: data/val-* |
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- split: test |
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path: data/test-* |
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--- |
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# Newspaper segmentation dataset: Finlam |
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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 dataset includes 149 French newspapers from the 19th to 20th centuries. |
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Each newspaper contains multiple pages. Page images are resized to a fixed height of 2000 pixels. |
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Each page contains multiple zones, with different information such as polygon, text, class, and order. |
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### Split |
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| set | images | newspapers | |
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| ----- | ------:| ----------:| |
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| train | 623 | 129 | |
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| val | 50 | 10 | |
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| test | 48 | 10 | |
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### Languages |
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Most newspapers in the dataset are French, some English. |
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## Dataset Structure |
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### Data Fields |
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- `newspaper_name`: The name of the newspaper. |
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- `newspaper_arkindex_id`: The Arkindex element id corresponding to the current newspaper. |
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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 current newspaper. |
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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_arkindex_ids`: the list of Arkindex element ids corresponding to the zones in the page. |
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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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- `article_id`: the list of article indexes defining in which article in the current newspaper the current zone is located. |
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