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--- |
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license: mit |
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language: |
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- fr |
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task_categories: |
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- image-to-text |
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pretty_name: Belfort |
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dataset_info: |
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features: |
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- name: image |
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dtype: image |
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- name: text |
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dtype: string |
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splits: |
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- name: train |
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num_examples: 97883 |
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- name: validation |
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num_examples: 4519 |
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- name: test |
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num_examples: 2829 |
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dataset_size: 105231 |
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--- |
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# Belfort Dataset |
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## Table of Contents |
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- [Belfort Dataset](#belfort-dataset) |
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- [Table of Contents](#table-of-contents) |
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- [Dataset Description](#dataset-description) |
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- [Languages](#languages) |
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- [Dataset Structure](#dataset-structure) |
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- [Data Instances](#data-instances) |
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- [Data Fields](#data-fields) |
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## Dataset Description |
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- **Homepage:** [Belfort city archives](https://teklia.com/blog/202211-belfort-en/) |
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- **Source:** [Zenodo](https://zenodo.org/records/8041668) |
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- **Paper:** [Handwritten Text Recognition from Crowdsourced Annotations](https://doi.org/10.1145/3604951.3605517) |
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- **Point of Contact:** [TEKLIA](https://teklia.com) |
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## Dataset Summary |
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The Belfort dataset includes minutes of the municipal council of the French city of Belfort. |
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Text lines were extracted using an automatic model and may contain segmentation errors. The transcriptions were obtained through a crowdsourcing campaign using the [Callico](https://callico.teklia.com/projects/ce9b42d4-23a8-4381-b5bb-459bedc59165/details/) web plateform. |
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### Languages |
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All the documents in the dataset are written in French. |
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## Dataset Structure |
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### Data Instances |
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``` |
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{ |
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'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=4300x128 at 0x1A800E8E190, |
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'text': 'les intérêts des 30000 francs jusqu'au moment de la' |
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} |
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``` |
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### Data Fields |
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- `image`: A PIL.Image.Image object containing the image. Note that when accessing the image column: dataset[0]["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]["image"] should always be preferred over dataset["image"][0]. |
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- `text`: the label transcription of the image. |
