Datasets:
File size: 3,498 Bytes
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---
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
- **Homepage:** [Finlam](https://finlam.projets.litislab.fr/)
- **Point of Contact:** [TEKLIA](https://teklia.com)
## 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.
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