mteb/LeCaRDv2
LeCaRDv2 An MTEB dataset Massive Text Embedding Benchmark The task involves identifying and retrieving the case document that best matches or is most relevant to the scenario described in each of the provided queries. Task category t2t Domains Legal, Written Reference https://github.com/THUIR/LeCaRDv2 How to evaluate on this task You can evaluate an embedding model on this dataset using the following code: import mteb task =… See the full description on the dataset page: https://huggingface.co/datasets/mteb/LeCaRDv2.
| Author / organization | mteb |
|---|---|
| License (as declared) | mit |
| Downloads | 1K (as reported by Hugging Face) |
| Likes | 3 |
| Created | 30 March 2024 |
| Last updated at source | 4 May 2025 |
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