Datasets:
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Upload dataset (#1)
Browse files- First version of the dataset (cbc6230aa52743d1f1370b8255359d5891c7cdf2)
- Rename split to validation (4a8a66a77f1e08b2f35a721047eea20c1c039c76)
- Remove val.parquet (8d3540bf5c524b9c6b52ebecd0820ae1fa7655e3)
Co-authored-by: Schneider <[email protected]>
- README.md +77 -0
- data/test.parquet +3 -0
- data/train.parquet +3 -0
- data/validation.parquet +3 -0
README.md
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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: PyLaia RIMES
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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: 10188
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- name: validation
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num_examples: 1138
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- name: test
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num_examples: 778
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dataset_size: 12104
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---
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# PyLaia RIMES Dataset
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## Table of Contents
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- [PyLaia RIMES Dataset](#pylaia-rimes-dataset)
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- [Table of Contents](#table-of-contents)
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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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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- [Data Splits](#data-splits)
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## Dataset Description
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- **Homepage:** [ARTEMIS](https://artemis.telecom-sudparis.eu/2012/10/05/rimes/)
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- **PapersWithCode:** [Papers using the RIMES dataset](https://paperswithcode.com/dataset/rimes)
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- **Point of Contact:** [TEKLIA](https://teklia.com)
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### Dataset Summary
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Briefly summarize the dataset, its intended use and the supported tasks. Give an overview of how and why the dataset was created. The summary should explicitly mention the **languages** present in the dataset (possibly in broad terms, e.g. *translations between several pairs of European languages*), and describe the domain, topic, or genre covered.
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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=2560x128 at 0x1A800E8E190,
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'text': 'Comme indiqué dans les conditions particulières de mon contrat d'assurance'
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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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### Data Splits
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Describe and name the splits in the dataset if there are more than one.
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Describe any criteria for splitting the data, if used. If there are differences between the splits (e.g. if the training annotations are machine-generated and the dev and test ones are created by humans, or if different numbers of annotators contributed to each example), describe them here.
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Provide the sizes of each split. As appropriate, provide any descriptive statistics for the features, such as average length. For example:
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| | train | validation | test |
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|-------------------------|------:|-----------:|-----:|
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| Input Sentences | | | |
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| Average Sentence Length | | | |
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data/test.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:e817c5e4e7216754e692f24dc2a2a57b214d2a7a75d7cec5e2e27ad89db9b274
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size 40463
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data/train.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:45a72c38b35786fb7ea3d3f43a3fb78392e32981a178ad31958a115d603acc74
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size 524384
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data/validation.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:6323870eb364761c93b73dc5697cd85993926c13b2665184974e6da67209821b
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size 59748
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