Datasets:

Languages:
French
ArXiv:
License:
system HF staff commited on
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Update files from the datasets library (from 1.7.0)

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Release notes: https://github.com/huggingface/datasets/releases/tag/1.7.0

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  1. README.md +5 -4
README.md CHANGED
@@ -22,6 +22,7 @@ task_categories:
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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"
@@ -29,12 +30,12 @@ task_ids:
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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 Sample Size](#data-splits-sample-size)
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  - [Dataset Creation](#dataset-creation)
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  - [Curation Rationale](#curation-rationale)
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  - [Source Data](#source-data)
@@ -68,7 +69,7 @@ FQuAD contains 25,000+ question and answer pairs.
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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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@@ -113,7 +114,7 @@ The data fields are the same among all splits.
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  - `texts`: a `string` feature.
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  - `answers_starts`: a `int32` feature.
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- ### Data Splits Sample Size
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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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