mteb/

LegalQuAD

LegalQuAD An MTEB dataset Massive Text Embedding Benchmark

The dataset consists of questions and legal documents in German.

Task category t2t

Domains Legal, Written

Reference https://github.com/Christoph911/AIKE2021_Appendix

You can evaluate an embedding model on this dataset using the following code: import mteb

task = mteb.get_tasks(["LegalQuAD"]) evaluator = mteb.MTEB(task)

model = mteb.get_model(YOUR_MODEL)… See the full description on the dataset page: https://huggingface.co/datasets/mteb/LegalQuAD.