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--- |
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annotations_creators: |
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- private |
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language_creators: null |
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languages: |
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- fr-FR |
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licenses: |
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- cc-by-nc-sa-4.0 |
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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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- newspaper |
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- online |
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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 newsquadfr |
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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](#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-instances) |
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- [Data Splits](#data-instances) |
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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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## Dataset Description |
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- **Homepage:** [lincoln.fr](https://www.lincoln.fr/) |
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- **Repository:** [github/Lincoln-France](https://github.com/Lincoln-France) |
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- **Paper:** [Needs More Information] |
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- **Leaderboard:** [Needs More Information] |
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- **Point of Contact:** [email](labinnovation@mel.lincoln.fr) |
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### Dataset Summary |
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newsquadfr is a small dataset created for Question Answering task. Contexts are paragraphs of articles extracted from nine online french newspaper during year 2020/2021. newsquadfr stands for Newspaper question answering dataset in french. inspired by Piaf and Squad dataset. 2 520 triplets context - question - answer. |
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```py |
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from datasets import load_dataset |
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ds_name = 'lincoln/newsquadfr' |
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# exemple 1 |
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ds_newsquad = load_dataset(ds_name) |
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# exemple 2 |
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data_files = {'train': 'train.json', 'test': 'test.json', 'valid': 'valid.json'} |
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ds_newsquad = load_dataset(ds_name, data_files=data_files) |
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# exemple 3 |
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ds_newsquad = load_dataset(ds_name, data_files=data_files, split="valid+test") |
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``` |
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(train set) |
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| website | Nb | |
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|---------------|-----| |
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| cnews | 20 | |
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| francetvinfo | 40 | |
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| la-croix | 375 | |
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| lefigaro | 160 | |
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| lemonde | 325 | |
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| lesnumeriques | 70 | |
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| numerama | 140 | |
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| sudouest | 475 | |
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| usinenouvelle | 45 | |
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### Supported Tasks and Leaderboards |
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- extractive-qa |
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- open-domain-qa |
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### Languages |
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Fr-fr |
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## Dataset Structure |
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### Data Instances |
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```json |
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{'answers': {'answer_start': [53], 'text': ['manSuvre "agressive']}, |
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'article_id': 34138, |
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'article_title': 'Caricatures, Libye, Haut-Karabakh... Les six dossiers qui ' |
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'opposent Emmanuel Macron et Recep Tayyip Erdogan.', |
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'article_url': 'https://www.francetvinfo.fr/monde/turquie/caricatures-libye-haut-karabakh-les-six-dossiers-qui-opposent-emmanuel-macron-et-recep-tayyip-erdogan_4155611.html#xtor=RSS-3-[france]', |
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'context': 'Dans ce contexte déjà tendu, la France a dénoncé une manSuvre ' |
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'"agressive" de la part de frégates turques à l\'encontre de l\'un ' |
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"de ses navires engagés dans une mission de l'Otan, le 10 juin. " |
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'Selon Paris, la frégate Le Courbet cherchait à identifier un ' |
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'cargo suspecté de transporter des armes vers la Libye quand elle ' |
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'a été illuminée à trois reprises par le radar de conduite de tir ' |
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"de l'escorte turque.", |
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'id': '2261', |
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'paragraph_id': 201225, |
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'question': "Qu'est ce que la France reproche à la Turquie?", |
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'website': 'francetvinfo'} |
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``` |
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### Data Fields |
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- `answers`: a dictionary feature containing: |
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- `text`: a `string` feature. |
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- `answer_start`: a `int64` feature. |
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- `article_id`: a `int64` feature. |
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- `article_title`: a string feature. |
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- `article_url`: a string feature. |
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- `context`: a `string` feature. |
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- `id`: a `string` feature. |
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- `paragraph_id`: a `int64` feature. |
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- `question`: a `string` feature. |
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- `website`: a `string` feature. |
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### Data Splits |
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| Split | Nb | |
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|-------|----| |
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| train |1650| |
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| test |415 | |
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| valid |455 | |
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## Dataset Creation |
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### Curation Rationale |
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[Needs More Information] |
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### Source Data |
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#### Initial Data Collection and Normalization |
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Paragraphs were chosen according to theses rules: |
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- parent article must have more than 71% ASCII characters |
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- paragraphs size must be between 170 and 670 characters |
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- paragraphs shouldn't contain "A LIRE" or "A VOIR AUSSI" |
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Then, we stratified our original dataset to create this dataset according to : |
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- website |
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- number of named entities |
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- paragraph size |
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#### Who are the source language producers? |
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[Needs More Information] |
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### Annotations |
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#### Annotation process |
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Using Piaf annotation tools. Three different persons mostly. |
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#### Who are the annotators? |
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Lincoln |
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### Personal and Sensitive Information |
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[Needs More Information] |
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## Considerations for Using the Data |
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### Social Impact of Dataset |
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[Needs More Information] |
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### Discussion of Biases |
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- Annotation is not well controlled |
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- asking question on news is biaised |
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### Other Known Limitations |
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[Needs More Information] |
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## Additional Information |
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### Dataset Curators |
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[Needs More Information] |
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### Licensing Information |
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https://creativecommons.org/licenses/by-nc-sa/4.0/deed.fr |
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### Citation Information |
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[Needs More Information] |