Update files from the datasets library (from 1.7.0)
Browse filesRelease notes: https://github.com/huggingface/datasets/releases/tag/1.7.0
README.md
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task_ids:
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- extractive-qa
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- closed-domain-qa
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---
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# Dataset Card for "fquad"
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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)
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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
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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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Finetuning CamemBERT on FQuAD yields a F1 score of 88% and an exact match of 77.9%.
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Developped to provide a SQuAD equivalent in the French language. Questions are original and based on high quality Wikipedia articles.
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### Supported Tasks
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- `closed-domain-qa`, `text-retrieval`: This dataset is intended to be used for `closed-domain-qa`, but can also be used for information retrieval tasks.
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- `texts`: a `string` feature.
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- `answers_starts`: a `int32` feature.
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### Data Splits
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The FQuAD dataset has 3 splits: _train_, _validation_, and _test_. The _test_ split is however not released publicly at the moment. The splits contain disjoint sets of articles. The following table contains stats about each split.
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task_ids:
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- extractive-qa
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- closed-domain-qa
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paperswithcode_id: fquad
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---
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# Dataset Card for "fquad"
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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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Finetuning CamemBERT on FQuAD yields a F1 score of 88% and an exact match of 77.9%.
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Developped to provide a SQuAD equivalent in the French language. Questions are original and based on high quality Wikipedia articles.
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+
### Supported Tasks and Leaderboards
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- `closed-domain-qa`, `text-retrieval`: This dataset is intended to be used for `closed-domain-qa`, but can also be used for information retrieval tasks.
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- `texts`: a `string` feature.
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- `answers_starts`: a `int32` feature.
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### Data Splits
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The FQuAD dataset has 3 splits: _train_, _validation_, and _test_. The _test_ split is however not released publicly at the moment. The splits contain disjoint sets of articles. The following table contains stats about each split.
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