{"id":864,"slug":"allenai--swag","name":"swag","author":"allenai","description":"\n\t\n\t\t\n\t\tDataset Card for Situations With Adversarial Generations\n\t\n\n\n\t\n\t\t\n\t\tDataset Summary\n\t\n\nGiven a partial description like \"she opened the hood of the car,\"\nhumans can reason about the situation and anticipate what might come\nnext (\"then, she examined the engine\"). SWAG (Situations With Adversarial Generations)\nis a large-scale dataset for this task of grounded commonsense\ninference, unifying natural language inference and physically grounded reasoning.\nThe dataset consists of 113k… See the full description on the dataset page: https://huggingface.co/datasets/allenai/swag.","tags":"[\"Task_categories:text-Classification\",\"Task_ids:natural-Language-Inference\",\"Annotations_creators:crowdsourced\",\"Annotations_creators:machine-Generated\",\"Language_creators:found\",\"Multilinguality:monolingual\"]","license":null,"framework":null,"parameters":null,"downloads":66225,"likes":24,"verified":0,"created_at":"2026-09-01 12:23:30","updated_at":"2026-09-01 12:23:30","source_url":"https://huggingface.co/datasets/allenai/swag","source_platform":"huggingface","hf_repo_id":"allenai/swag","ollama_name":"","category":"dataset","latest_version":"v1.0.0","version_count":1,"signature_count":1,"risk_level":null,"risk_score":null,"versions":[{"id":863,"model_id":864,"version":"v1.0.0","manifest_hash":"27a2f3bd239b04a59efce9a6ca66ec9ce60bf22b4ba3b42c62a829f880059a3c","file_count":0,"total_size":0,"r2_manifest_key":"manifests/datasets/allenai--swag/v1.0.0.json","created_at":"2026-09-01 12:23:30"}],"files":[],"signatures":[{"id":1436,"version_id":863,"signer_did":"did:quantamrkt:registry:shield-v1","algorithm":"ML-DSA-65","signature_hex":"32825d0111ce98306bb926d885188dfef51187cf24b042a6c01b9250eb5c0dec","attestation_type":"registry","signed_at":"2026-09-01 12:23:30"}],"hndl":null}