| --- |
| license: cc-by-nc-4.0 |
| language: |
| - en |
| task_categories: |
| - text-generation |
| tags: |
| - video-editing |
| - planning |
| - verifier |
| - benchmark |
| pretty_name: RefineCut-Bench |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # 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) and a deterministic verifier applies it and recomputes every |
| ledger entry. Paper: **https://arxiv.org/abs/2608.25622** (EMNLP 2026 Main). Evaluation code and prompt: **https://github.com/Lancelot-wy/RefineCut**. |
|
|
| | | Count | |
| |---|---| |
| | Canonical tasks (raw task records) | 3,578 (3,960) | |
| | Task families / subtypes | 3 (A composition 1,460 · B local edit 1,219 · C generative 899) / 15 | |
| | Constraint types | 14 | |
| | Captioned clips | 7,971 | |
| | Music tracks (features only) | 499 | |
| | Train / dev / test (task-id disjoint) | 2,773 / 596 / 591 | |
| | Evaluation sets | Common-100, dev100, canonical-clean (92) | |
| | Teacher trajectories, replayed | GPT-5.4 2,000 · Qwen3-Max 1,946 · DeepSeek-V4-Pro 1,959 | |
|
|
| ## Layout |
|
|
| ``` |
| tasks/ all_tasks.jsonl, train.jsonl, dev.jsonl, test.jsonl, split_manifest.json, split_audit.json |
| eval/ common100_items.jsonl evaluation-ready Common-100 items (ledger, clip-pool metadata, failed |
| initial state, violated constraints) consumed by the evaluation harness |
| dev100_items.jsonl checkpoint-selection set |
| test_items.jsonl all 591 test items in the same format |
| canonical_clean_ids.json the 92 Common-100 tasks whose canonical id never appears in training |
| clips/ captions.jsonl (7,971 clips: subject / action / scene / camera / scene_category / motion_intensity / |
| caption_short / duration / source), clip_alias_maps/, clips_meta/<source>/ (public source identifiers) |
| music/ music_features.json (BPM, beat times, energy, duration for 499 tracks; no audio) |
| trajectories/ normalized/<teacher>.jsonl canonicalized multi-teacher trajectories (up to 3 steps x 4 branches) |
| replayed/<teacher>_replay.jsonl the same trajectories with per-branch verifier replay scores |
| schemas/ constraint_ledger, editplan, refinepatch, timeline_ir, verifier_output JSON schemas |
| docs/ metric definitions and the VES formula |
| ``` |
|
|
| ## Task record |
|
|
| ```json |
| {"task_id": "...", "task_type": "A", "task_subtype": "themed_montage", "brief": "...", |
| "target_duration": 24.0, |
| "constraint_ledger": [{"item_id": "...", "type": "must_keep_clip", "spec": {...}, "satisfied": false, "evidence": null}, ...], |
| "clip_pool": ["clip_0001", ...], "structure": {...}, "canonical_id": "..."} |
| ``` |
|
|
| Constraint types: `must_keep_clip`, `must_exclude_clip`, `target_duration`, `duration_tolerance`, `pacing`, |
| `transition_style`, `music_sync_bpm`, `music_sync_beat`, `must_open_with`, `must_close_with`, |
| `no_repeat_within_seconds`, `max_repeats_per_clip`, `tag_inclusion`, `tag_exclusion`. An entry is a hard |
| constraint when its spec admits a deterministic pass/fail test; softer entries earn graded credit through the |
| fractional constraint-satisfaction rate. |
|
|
| ## Evaluation protocol |
|
|
| Closed loop with at most T=3 repair steps, greedy decoding, one fixed PatchPlanner prompt, and the frozen |
| Common-100 list. `VES = 0.30 FinalCSR + 0.15 HardPass + 0.15 PASR + 0.15 ReqClipRecall + 0.10 DurationPass + |
| 0.10 TimelineValidity + 0.05 NoRegression` (`docs/METRIC_DEFINITIONS.md`). VES is a protocol-specific |
| executable-planning score; rendered video quality is evaluated separately. |
| |
| ## Sources and license |
| |
| Clips: Pexels (3,219), Panda-70M sample (3,990), Pixabay (255), OpenVid (100), and 5-30 s segments of |
| non-game long videos (407); music features from FMA tracks. **Raw video and audio are not redistributed**; |
| `clips/clips_meta/` gives the public source identifiers. Benchmark metadata, captions, ledgers, and |
| trajectories: CC BY-NC 4.0; sources retain their original licenses. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @inproceedings{refinecut2026, |
| title = {Plans You Can Check: Verifier-Grounded Learning of an Open-Weight Planner for Executable Video-Editing}, |
| author = {Wang, Haoyu and Feng, Cheng and Bian, Liuyang and Huang, Ruiyang and Wei, Lei and Wen, Yafei and Chen, Xiaoxin and Tang, Xiaoying}, |
| booktitle = {Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing}, |
| year = {2026}, |
| note = {to appear} |
| } |
| ``` |
|
|
