Datasets:
Languages:
French
Multilinguality:
monolingual
Size Categories:
1K<n<10K
Language Creators:
found
Annotations Creators:
expert-generated
Source Datasets:
original
ArXiv:
Tags:
legal
License:
Commit
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8459b5b
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Parent(s):
27418b2
Update README.md
Browse files
README.md
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@@ -60,7 +60,7 @@ The Belgian Statutory Article Retrieval Dataset (BSARD) v1.0 is a French native
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### Supported Tasks and Leaderboards
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- `document-retrieval`: The dataset can be used to train a model for Ad-Hoc Legal Information Retrieval. An IR model is presented with a short user query written in natural language and asked to retrieve relevant legal information from a knowledge source (such as statutory articles). The model performance is measured by how high its [recall](https://huggingface.co/metrics/recall) score to the reference is. A [BERT-based model](https://huggingface.co/camembert-base) trained as a dense retriever to draw information from statutory articles achieves a recall@100 of
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### Languages
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### Supported Tasks and Leaderboards
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- `document-retrieval`: The dataset can be used to train a model for Ad-Hoc Legal Information Retrieval. An IR model is presented with a short user query written in natural language and asked to retrieve relevant legal information from a knowledge source (such as statutory articles). The model performance is measured by how high its [recall](https://huggingface.co/metrics/recall) score to the reference is. A [BERT-based model](https://huggingface.co/camembert-base) trained as a dense retriever to draw information from statutory articles achieves a recall@100 of 74.8%.
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### Languages
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