{"data":{"full_name":"allenai/smashed","name":"smashed","description":"SMASHED is a toolkit designed to apply transformations to samples in datasets, such as fields extraction, tokenization, prompting, batching, and more. Supports datasets from Huggingface, torchdata iterables, or simple lists of dictionaries.","stars":35.0,"forks":5.0,"language":"Python","license":"Apache-2.0","archived":0.0,"subcategory":"transformer-architecture-tutorials","last_pushed_at":"2024-05-24T01:11:59+00:00","pypi_package":"smashed","npm_package":null,"downloads_monthly":4883.0,"dependency_count":7.0,"commits_30d":null,"reverse_dep_count":2.0,"maintenance_score":0.0,"adoption_score":17.0,"maturity_score":25.0,"community_score":12.0,"quality_score":54.0,"quality_tier":"established","risk_flags":"['stale_6m']"},"meta":{"timestamp":"2026-04-06T18:24:20.111386+00:00"}}