GDPR Holdings Retrieval by Isaacus is a novel and challenging legal information retrieval evaluation dataset consisting of 500 fact patterns paired with holdings in European regulatory and court decisions.
This dataset is intended to stress test the ability of an information retrieval model to retrieve relevant judicial and regulatory decisions given arbitrary fact patterns.
This dataset forms part of the Massive Legal Embeddings Benchmark (MLEB), the… See the full description on the dataset page:
https://huggingface.co/datasets/isaacus/gdpr-holdings-retrieval.
