embedding-benchmark/LegalQuAD download history
embedding-benchmark/LegalQuAD is a text retrieval dataset on the Hugging Face Hub. In the last 30 days it was downloaded 35 times (27 in the last 7 days), and 289 times in total. It ranks #242,743 among datasets by monthly downloads.
The corpus consists of 200 real-world legal documents and the query set consists of 200 questions pertaining to legal documents. Usage import datasets # Download the dataset queries = datasets.load_dataset("embedding-benchmark/LegalQuAD", "queries") documents = datasets.load_dataset("embedding-benc