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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 0.74.
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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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