Datasets:
metadata
license: mit
task_categories:
- video-to-video
tags:
- physics
- video-editing
- benchmark
- rigid-body
- simulation
pretty_name: PCVE-RigidBench
size_categories:
- n<1K
PCVE-RigidBench
Physics Counterfactual Video Editing benchmark. 20 scenes, 20 source videos, 129 edit tasks.
Layout
benchmark_manifest.json: flat index of every source + edit; the authoritative record. Every field the evaluator needs (prompts, physics_diff, edit_summary, video/gt paths) is inlined here.scenes/{scene}/cases/{case_id}/:video.mp4-- the source (in the baseline case) or edited render.prompts.json-- redundant with the top-level manifest; kept per-case so an evaluator that iterates directories has everything local.ground_truth_transforms.json-- per-frame world matrices, linear/angular velocities and any object-specific quality metrics the physics sim produced. Use these for physics-consistency metrics; skip them if you are only doing pixel/perceptual eval.
thumbnails/{scene}/{case_id}.jpg: mid-frame preview per case.splits/all.txt: every edit'sglobal_id, one per line.splits/by_property/: same, bucketed by the edited property (mass / friction / restitution / initial_velocity / presence for DELETE and ADD edits, which both move an object along the present/absent axis).splits/by_timing/: same, bucketed by when the edit takes effect --whole_clip.txtfor edits that hold from the first frame, andpartway.txtfor edits that land atapplies_from_frame, where the frames before it are supposed to match the source video exactly.
Prompts
Each edit has 4 flavors under prompts:
vague.zh/vague.en: direction-only ("调大一点" / "Decrease X").quantitative.zh/quantitative.en: includesfromandtonumbers.
Every prompt opens by saying when the edit takes effect, because that is
part of the instruction: "From frame 1 onwards" / "From the start of the
clip" for the whole-clip edits, and "From frame 22 onwards" / "Early in
the clip" for one that lands partway through. applies_from_frame in the
manifest is the same fact in machine-readable form.
Task
Given (source_video, prompt), generate a video that matches
edited_video. Compare against ground_truth_transforms.json for
per-frame object trajectories, or against edited_video for pixel /
perceptual metrics.
Counts
- Edits by kind: {'ADD': 7, 'DELETE': 30, 'SET': 92}
- Edits by timing: {'partway': 12, 'whole_clip': 117}
- Edits by property: {'friction': 21, 'initial_velocity': 26, 'mass': 32, 'presence': 37, 'restitution': 13}