Datasets:
yschneider
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license: mit
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---
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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: Alcar
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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: 59969
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- name: validation
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num_examples: 7905
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- name: test
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num_examples: 6932
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dataset_size: 74806
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---
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# Alcar Dataset
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## Table of Contents
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- [Alcar Dataset](#alcar-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:** [Alcar](http://alcar.huma-num.fr/app/)
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- **Paper:** [Paper](https://zenodo.org/records/5600884)
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- **Point of Contact:** [TEKLIA](https://teklia.com)
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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': 'quatre mille livres de tournoiz poiez, si com¬'
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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.
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