mteb/GerDaLIR
GerDaLIR An MTEB dataset Massive Text Embedding Benchmark GerDaLIR is a legal information retrieval dataset created from the Open Legal Data platform. Task category t2t Domains Legal Reference https://github.com/lavis-nlp/GerDaLIR Source datasets: jinaai/ger_da_lir How to evaluate on this task You can evaluate an embedding model on this dataset using the following code: import mteb task = mteb.get_task("GerDaLIR") evaluator = mteb.MTEB([task])… See the full description on the dataset page: https://huggingface.co/datasets/mteb/GerDaLIR.
| Author / organization | mteb |
|---|---|
| Downloads | 231 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 19 October 2025 |
| Last updated at source | 19 October 2025 |
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