Datasetpublic

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.

sourceHugging Facecc-by-4.0updated 1y agoView on Hugging Face

4likes868downloads

settings

This repository belongs to mteb on Hugging Face.

CoolFace never edits a repository it does not host. Visibility, licence, collaborators and gating are all managed at the source.

nameLegalQuAD

visibilitypublic

licencecc-by-4.0

gatedno

ownermteb

Account settings