Dataset · Hugging Face

clips/mteb-nl-legalqa-pr

Name: mteb-nl-legalqa-pr
Creator: clips
License: cc-by-nc-sa-4.0
Keywords: task_categories:text-retrieval, annotations_creators:expert-annotated, multilinguality:monolingual, source_datasets:clips/mteb-nl-legalqa, language:nld, license:cc-by-nc-sa-4.0, size_categories:10K<n<100K, format:parquet, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, arxiv:2502.13595, arxiv:2210.07316

LegalQANLRetrieval An MTEB dataset Massive Text Embedding Benchmark To this end, we create and publish a Dutch legal QA dataset, consisting of question-answer pairs with attributions to Dutch law articles. Task category t2t Domains Legal, Written Reference https://aclanthology.org/2024.nllp-1.12/ Source datasets: clips/mteb-nl-legalqa How to evaluate on this task You can evaluate an embedding model on this dataset using the following code: import… See the full description on the dataset page: https://huggingface.co/datasets/clips/mteb-nl-legalqa-pr.

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Author / organization	clips
License (as declared)	cc-by-nc-sa-4.0
Downloads	289 (as reported by Hugging Face)
Likes	0
Created	15 October 2025
Last updated at source	15 October 2025

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16 Oct 2026 Description: LegalQANLRetrieval An MTEB dataset Massive Text Embedding Benchmark To this end, we create and publish a Dutch legal QA dataset, consisting of question-answer pairs with attributions to Dutch law articles. Task category t2t Domains Legal, W → LegalQANLRetrieval An MTEB dataset Massive Text Embedding Benchmark To this end, we create and publish a Dutch legal QA dataset, consisting of question-answer pairs with attributions to Dutch law articles. Task category t2t Domains Legal, W

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