{"id":881,"slug":"facebook--belebele","name":"belebele","author":"facebook","description":"\n\t\n\t\t\n\t\tThe Belebele Benchmark for Massively Multilingual NLU Evaluation\n\t\n\nBelebele is a multiple-choice machine reading comprehension (MRC) dataset spanning 122 language variants. This dataset enables the evaluation of mono- and multi-lingual models in high-, medium-, and low-resource languages. Each question has four multiple-choice answers and is linked to a short passage from the FLORES-200 dataset. The human annotation procedure was carefully curated to create questions that discriminate… See the full description on the dataset page: https://huggingface.co/datasets/facebook/belebele.","tags":"[\"Task_categories:question-Answering\",\"Task_categories:zero-Shot-Classification\",\"Task_categories:text-Classification\",\"Task_categories:multiple-Choice\",\"Language:af\",\"Language:am\"]","license":null,"framework":null,"parameters":null,"downloads":85335,"likes":133,"verified":0,"created_at":"2026-09-05 12:23:22","updated_at":"2026-09-19 15:23:27","source_url":"https://huggingface.co/datasets/facebook/belebele","source_platform":"huggingface","hf_repo_id":"facebook/belebele","ollama_name":"","category":"dataset","latest_version":"v1.0.0","version_count":1,"signature_count":1,"risk_level":null,"risk_score":null,"versions":[{"id":880,"model_id":881,"version":"v1.0.0","manifest_hash":"2383074dbef53ab744ad17c95285f7df92aab882103483d09115400edc1b3f4c","file_count":0,"total_size":0,"r2_manifest_key":"manifests/datasets/facebook--belebele/v1.0.0.json","created_at":"2026-09-05 12:23:22"}],"files":[],"signatures":[{"id":1453,"version_id":880,"signer_did":"did:quantamrkt:registry:shield-v1","algorithm":"ML-DSA-65","signature_hex":"e727f8b0fef246f62b384208c43becd76a2aaabe3026bd20fc21bb0ad259234d","attestation_type":"registry","signed_at":"2026-09-05 12:23:22"}],"hndl":null}