Randallhy/RefineCut-Bench

RefineCut-Bench A planning-level benchmark for executable video-editing planning (EMNLP 2026, Plans You Can Check: Verifier-Grounded Learning of an Open-Weight Planner for Executable Video-Editing). A task gives a planner a brief, a real clip pool with schema-constrained captions and metadata, optional music metadata with beat tracks, the current timeline state, and an explicit constraint ledger; the planner emits a RefinePatch (RFC 6902-style JSON Patch over a typed timeline)… See the full description on the dataset page: https://huggingface.co/datasets/Randallhy/RefineCut-Bench.