Datasets:
| license: mit | |
| language: | |
| - fr | |
| task_categories: | |
| - image-to-text | |
| pretty_name: Belfort-line | |
| dataset_info: | |
| features: | |
| - name: image | |
| dtype: image | |
| - name: text | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_examples: 25800 | |
| - name: validation | |
| num_examples: 3102 | |
| - name: test | |
| num_examples: 3819 | |
| dataset_size: 32721 | |
| tags: | |
| - atr | |
| - htr | |
| - ocr | |
| - historical | |
| - handwritten | |
| # Belfort - line level | |
| ## Table of Contents | |
| - [Belfort - line level](#belfort-line-level) | |
| - [Table of Contents](#table-of-contents) | |
| - [Dataset Description](#dataset-description) | |
| - [Languages](#languages) | |
| - [Dataset Structure](#dataset-structure) | |
| - [Data Instances](#data-instances) | |
| - [Data Fields](#data-fields) | |
| ## Dataset Description | |
| - **Homepage:** [Belfort city archives](https://teklia.com/blog/202211-belfort-en/) | |
| - **Source:** [Zenodo](https://zenodo.org/records/8041668) | |
| - **Paper:** [Handwritten Text Recognition from Crowdsourced Annotations](https://doi.org/10.1145/3604951.3605517) | |
| - **Point of Contact:** [TEKLIA](https://teklia.com) | |
| ## Dataset Summary | |
| The Belfort dataset includes minutes of the municipal council of the French city of Belfort. | |
| 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. | |
| Note that all images are resized to a fixed height of 128 pixels. | |
| ### Languages | |
| All the documents in the dataset are written in French. | |
| ## Dataset Structure | |
| ### Data Instances | |
| ``` | |
| { | |
| 'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=4300x128 at 0x1A800E8E190, | |
| 'text': 'les intérêts des 30000 francs jusqu'au moment de la' | |
| } | |
| ``` | |
| ### Data Fields | |
| - `image`: a PIL.Image.Image object containing the image. Note that when accessing the image column (using 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]. | |
| - `text`: the label transcription of the image. |