Dataset · Hugging Face

mteb/AILA_statutes

Name: AILA_statutes
Creator: mteb
License: cc-by-4.0
Keywords: task_categories:text-retrieval, task_ids:document-retrieval, annotations_creators:derived, multilinguality:monolingual, language:eng, license:cc-by-4.0, size_categories:n<1K, format:json, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, arxiv:2502.13595, arxiv:2210.07316

AILAStatutes An MTEB dataset Massive Text Embedding Benchmark This dataset is structured for the task of identifying the most relevant statutes for a given situation. Task category t2t Domains Legal, Written Referencehttps://zenodo.org/records/4063986 How to evaluate on this task You can evaluate an embedding model on this dataset using the following code: import mteb task = mteb.get_tasks(["AILAStatutes"]) evaluator = mteb.MTEB(task) model =… See the full description on the dataset page: https://huggingface.co/datasets/mteb/AILA_statutes.

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Author / organization	mteb
License (as declared)	cc-by-4.0
Downloads	1K (as reported by Hugging Face)
Likes	2
Created	30 March 2024
Last updated at source	24 February 2026

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