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--- |
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annotations_creators: |
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- crowdsourced |
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language_creators: |
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- crowdsourced |
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languages: |
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- fr-FR |
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licenses: |
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- mit |
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multilinguality: |
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- monolingual |
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size_categories: |
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- 1K<n<10K |
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source_datasets: |
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- original |
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task_categories: |
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- question-answering |
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task_ids: |
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- extractive-qa |
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- open-domain-qa |
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paperswithcode_id: null |
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--- |
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# Dataset Card for "piaf" |
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## Table of Contents |
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- [Dataset Description](#dataset-description) |
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- [Dataset Summary](#dataset-summary) |
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
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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 Creation](#dataset-creation) |
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- [Curation Rationale](#curation-rationale) |
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- [Source Data](#source-data) |
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- [Annotations](#annotations) |
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- [Personal and Sensitive Information](#personal-and-sensitive-information) |
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- [Considerations for Using the Data](#considerations-for-using-the-data) |
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- [Social Impact of Dataset](#social-impact-of-dataset) |
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- [Discussion of Biases](#discussion-of-biases) |
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- [Other Known Limitations](#other-known-limitations) |
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- [Additional Information](#additional-information) |
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- [Dataset Curators](#dataset-curators) |
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- [Licensing Information](#licensing-information) |
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- [Citation Information](#citation-information) |
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- [Contributions](#contributions) |
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## Dataset Description |
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- **Homepage:** [https://piaf.etalab.studio](https://piaf.etalab.studio) |
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- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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- **Size of downloaded dataset files:** 1.31 MB |
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- **Size of the generated dataset:** 3.18 MB |
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- **Total amount of disk used:** 4.49 MB |
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### Dataset Summary |
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Piaf is a reading comprehension dataset. This version, published in February 2020, contains 3835 questions on French Wikipedia. |
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### Supported Tasks and Leaderboards |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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### Languages |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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## Dataset Structure |
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We show detailed information for up to 5 configurations of the dataset. |
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### Data Instances |
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#### plain_text |
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- **Size of downloaded dataset files:** 1.31 MB |
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- **Size of the generated dataset:** 3.18 MB |
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- **Total amount of disk used:** 4.49 MB |
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An example of 'train' looks as follows. |
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``` |
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{ |
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"answers": { |
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"answer_start": [0], |
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"text": ["Voici"] |
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}, |
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"context": "Voici le contexte du premier paragraphe du deuxième article.", |
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"id": "p140295460356960", |
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"question": "Suis-je la troisième question ?", |
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"title": "Jakob Böhme" |
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} |
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``` |
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### Data Fields |
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The data fields are the same among all splits. |
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#### plain_text |
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- `id`: a `string` feature. |
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- `title`: a `string` feature. |
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- `context`: a `string` feature. |
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- `question`: a `string` feature. |
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- `answers`: a dictionary feature containing: |
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- `text`: a `string` feature. |
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- `answer_start`: a `int32` feature. |
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### Data Splits |
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| name | train | |
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| ---------- | ----: | |
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| plain_text | 3835 | |
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## Dataset Creation |
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### Curation Rationale |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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### Source Data |
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#### Initial Data Collection and Normalization |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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#### Who are the source language producers? |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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### Annotations |
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#### Annotation process |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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#### Who are the annotators? |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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### Personal and Sensitive Information |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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## Considerations for Using the Data |
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### Social Impact of Dataset |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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### Discussion of Biases |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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### Other Known Limitations |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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## Additional Information |
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### Dataset Curators |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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### Licensing Information |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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### Citation Information |
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``` |
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@InProceedings{keraron-EtAl:2020:LREC, |
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author = {Keraron, Rachel and Lancrenon, Guillaume and Bras, Mathilde and Allary, Frédéric and Moyse, Gilles and Scialom, Thomas and Soriano-Morales, Edmundo-Pavel and Staiano, Jacopo}, |
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title = {Project PIAF: Building a Native French Question-Answering Dataset}, |
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booktitle = {Proceedings of The 12th Language Resources and Evaluation Conference}, |
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month = {May}, |
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year = {2020}, |
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address = {Marseille, France}, |
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publisher = {European Language Resources Association}, |
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pages = {5483--5492}, |
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abstract = {Motivated by the lack of data for non-English languages, in particular for the evaluation of downstream tasks such as Question Answering, we present a participatory effort to collect a native French Question Answering Dataset. Furthermore, we describe and publicly release the annotation tool developed for our collection effort, along with the data obtained and preliminary baselines.}, |
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url = {https://www.aclweb.org/anthology/2020.lrec-1.673} |
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} |
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``` |
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### Contributions |
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Thanks to [@lewtun](https://github.com/lewtun), [@lhoestq](https://github.com/lhoestq), [@thomwolf](https://github.com/thomwolf), [@albertvillanova](https://github.com/albertvillanova), [@RachelKer](https://github.com/RachelKer) for adding this dataset. |
