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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  dataset_info:
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  - config_name: default
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  features:
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  data_files:
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  - split: queries
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  path: queries.jsonl
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ pretty_name: ECHR Retrieval
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+ task_categories:
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+ - text-retrieval
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+ - summarization
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+ - text-ranking
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+ tags:
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+ - legal
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+ - law
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+ - judicial
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+ - eu
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+ source_datasets:
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+ - HUDOC
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+ language:
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+ - en
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+ annotations_creators:
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+ - found
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+ language_creators:
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+ - found
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+ license: cc-by-4.0
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+ size_categories:
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+ - n<1K
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  dataset_info:
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  - config_name: default
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  features:
 
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  data_files:
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  - split: queries
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  path: queries.jsonl
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+ ---
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+
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+ # ECHR Retrieval 🏛️
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+ **ECHR Retrieval** by [Isaacus](https://isaacus.com/) is a challenging legal information retrieval evaluation dataset consisting of 200 short summaries of findings of European Court of Human Rights decisions paired with the text of those decisions sourced from the [HUDOC](https://hudoc.echr.coe.int/) database.
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+ This dataset is intended to stress test the ability of an information retrieval model to retrieve relevant court decisions given arbitrary legal holdings.
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+
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+ This dataset forms part of the [Massive Legal Embeddings Benchmark (MLEB)](https://isaacus.com/mleb), the largest, most diverse, and most comprehensive benchmark for legal text embedding models. ECHR Retrieval was added to MLEB on 20 February 2026.
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+
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+ ## Structure 🗂️
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+ As per the MTEB information retrieval dataset format, this dataset comprises three splits, `default`, `corpus` and `queries`.
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+
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+ The `default` split pairs summaries (`query-id`) with decisions (`corpus-id`), each pair having a `score` of 1.
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+
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+ The `corpus` split contains European Court of Human Rights decisions, with the text of decisions being stored in the `text` key and their ids being stored in the `_id` key. There is also a `title` column which is deliberately set to an empty string in all cases for compatibility with the [`mteb`](https://github.com/embeddings-benchmark/mteb) library.
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+ The `queries` split contains summaries of the findings of decisions, with the text of summaries being stored in the `text` key and their ids being stored in the `_id` key.
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+
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+ ## Methodology 🧪
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+ This dataset was constructed by collecting all publicly available European Court of Human Rights decisions, cleaning them, and then sampling 200 summary-decision pairs for inclusion in this dataset.
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+
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+ ## License 📜
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+ This dataset is licensed under [CC BY 4.0](https://choosealicense.com/licenses/cc-by-4.0/) which allows for both non-commercial and commercial use of this dataset as long as appropriate attribution is made to it.
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+
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+ ## Citation 🔖
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+ If you use this dataset, please cite the [Massive Legal Embeddings Benchmark (MLEB)](https://arxiv.org/abs/2510.19365):
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+ ```bibtex
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+ @misc{butler2025massivelegalembeddingbenchmark,
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+ title={The Massive Legal Embedding Benchmark (MLEB)},
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+ author={Umar Butler and Abdur-Rahman Butler and Adrian Lucas Malec},
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+ year={2025},
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+ eprint={2510.19365},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL},
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+ url={https://arxiv.org/abs/2510.19365},
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+ }
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+ ```