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 How to evaluate on this task 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.