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mteb/GerDaLIR

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Unclear

The checks could not identify a recognised licence ID in the dataset's metadata.

Declared licence: Not declared in the tag or the card (see datasets with no declared licence)Evidence: README.md at 735f2cc
Licence files: No licence file at the top level of the repositoryEvidence: file list at 735f2cc
Declared sources: 1
Access gated on Hugging Face: No

Each cell links to what was checked: a file, a file list or a Hub record.

Sources listed in the card metadata

jinaai/ger_da_lirno licence statedUnclearEvidence: README.md at 0bb47f1

Tasks

text-retrieval

Citation text from the card

@inproceedings{wrzalik-krechel-2021-gerdalir,
  abstract = {We present GerDaLIR, a German Dataset for Legal Information Retrieval based on case documents from the open legal information platform Open Legal Data. The dataset consists of 123K queries, each labelled with at least one relevant document in a collection of 131K case documents. We conduct several baseline experiments including BM25 and a state-of-the-art neural re-ranker. With our dataset, we aim to provide a standardized benchmark for German LIR and promote open research in this area. Beyond that, our dataset comprises sufficient training data to be used as a downstream task for German or multilingual language models.},
  address = {Punta Cana, Dominican Republic},
  author = {Wrzalik, Marco  and
Krechel, Dirk},
  booktitle = {Proceedings of the Natural Legal Language Processing Workshop 2021},
  month = nov,
  pages = {123--128},
  publisher = {Association for Computational Linguistics},
  title = {{G}er{D}a{LIR}: A {G}erman Dataset for Legal Information Retrieval},
  url = {https://aclanthology.org/2021.nllp-1.13},
  year = {2021},
}


@article{enevoldsen2025mmtebmassivemultilingualtext,
  title={MMTEB: Massive Multilingual Text Embedding Benchmark},
  author={Kenneth Enevoldsen and Isaac Chung and Imene Kerboua and Márton Kardos and Ashwin Mathur and David Stap and Jay Gala and Wissam Siblini and Dominik Krzemiński and Genta Indra Winata and Saba Sturua and Saiteja Utpala and Mathieu Ciancone and Marion Schaeffe

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dataset_licence({ "id": "mteb/GerDaLIR" })
signal: "unclear"
stated_licence: null
sources: 1