license: other
license_name: research-only
license_link: LICENSE
task_categories:
- video-to-video
- audio-to-audio
- text-to-video
language:
- en
- zh
tags:
- audio-visual
- video-editing
- instruction-following
- multimodal-reasoning
- benchmark
pretty_name: ReasonAVEdit-Bench (Landscape)
size_categories:
- 1K<n<10K
configs:
- config_name: default
data_files:
- split: test
path: metadata.csv
ReasonAVEdit-Bench — Landscape Edition
2,313 samples, every one of them landscape, for instruction-guided joint audio-video editing. Two halves:
| Half | N | What it is |
|---|---|---|
| Newly sampled | 1,200 | 15 reasoning sub-tracks, selected from measured evidence |
| Legacy tracks | 1,113 | Every landscape sample from the hand-curated AniAVEditBench tracks |
The benchmark measures not just the final edit but the multimodal reasoning behind it: which region to change, which sound source to change, and when the change happens. No edited target video is shipped — the input is a real clip plus an instruction, and the edited result is what a method under test produces.
Per-sample contents
| Path | Description |
|---|---|
videos/{id}.mp4 |
Source clip. 25 fps, frames % 8 == 1, sides multiple of 32, H.264 + 16 kHz AAC |
audios/{id}.wav |
Source audio, 16 kHz mono |
masks/{id}.mp4 |
Full-timeline binary mask of the target region |
reason_visual/{id}.png |
Single-frame visual reasoning GT — edit-start frame, target region flattened to gray 127 |
reason_visual_mask/{id}.png |
Binary region at the anchor frame, for Visual IoU |
reason_audio/{id}.wav |
Full-timeline acoustic reasoning GT — silent outside the edit window, inside it only the source to replace |
ref_images/{id}.png |
Reference image, where the track uses one |
annotations/{id}.json |
Instruction, edit window, anchor frame, instance geometry, measured evidence |
raw/{id}/ |
Every original ingredient: source clip, isolated target/residual audio, mask, reference image, upstream meta, plus origin.json recording each file's source path and the time window taken |
raw/ is what makes the bench adjustable: windows, anchor frames and reasoning GT can all be
re-derived without going back to the upstream corpora.
Media ships as tar archives
archives/ holds one tar per media folder (raw/ split across four shards), because ~14k loose
LFS objects trip the Hub's request rate limit. Unpack next to metadata.csv and every path in
the CSV resolves as written:
huggingface-cli download bigfacing/ReasonAVEdit-Bench-Landscape --repo-type dataset \
--local-dir ReasonAVEdit-Bench-Landscape
cd ReasonAVEdit-Bench-Landscape && for f in archives/*.tar; do tar -xf "$f"; done
annotations/, metadata.csv and review.html are stored loose. review.html is an 80-window
inspection page covering all 26 sub-tracks; open it after unpacking, served over HTTP.
Sub-tracks
Newly sampled (1,200). A source video appears in exactly one sample.
| Category | Sub-track | N | What is hard |
|---|---|---|---|
| Where-only 260 | W1_same_class_pair |
110 | Two same-class instances of comparable size — only position disambiguates |
W2_spatial_reference |
80 | Referred to by left/right/larger/smaller | |
W3_small_or_occluded |
70 | Target covers < 2% of the frame | |
| Which-only 310 | H1_overlapping_voices |
130 | A second voice overlaps the target speaker |
H2_speech_vs_ambient |
100 | Speech competes with ambient sound at a comparable level | |
H3_offscreen_source |
80 | The source to edit is never visible; visual GT is a null anchor | |
| When-only 310 | T1_word_phrase_swap |
210 | Replace 1–4 words inside a sentence |
T2_sentence_rewrite |
100 | Rewrite part of a sentence | |
| Combined 250 | C1_overlap_local_speech |
100 | Right voice and right time span |
C2_ambient_local_speech |
50 | Same, against ambient interference | |
C3_animal_local |
40 | Intermittent non-speech source | |
C4_spatial_add |
50 | Add an instance at a required position | |
C5_complex_remove |
10 | Remove an instance from a busy scene | |
| Reference 70 | R1_person_identity |
50 | Swap identity to a reference person |
R3_ref_guided_add |
20 | Add the reference subject to an empty scene |
Legacy tracks (1,113). Hand-curated sets carried over intact, with reasoning GT derived where the ingredients exist.
| Sub-track | N | Origin |
|---|---|---|
L1_region_human_add |
200 | Empty scene + reference person |
L2_region_human_swap |
203 | Single-person region regeneration |
L3_region_human_multi |
102 | Two-person dialogue — the only genuine visible-two-speaker material available |
L4_region_animal_object |
173 | Animal/object appearance reference (ships nobg reference images) |
L5_speech_edit_wordlevel |
100 | Word-level speech edit, with word timestamps |
L6_singing |
50 | Singing |
L7_reason_prod |
154 | prod instruction editing |
L8_reason_scratch |
77 | Leakage-free instruction editing |
L9_reason_headshot |
41 | Headshot reference identity swap |
L10_reason_xa / L11_reason_xb |
7 / 6 | Source-vs-reference cross diagnostics |
The JAVEdit-derived instruction track is deliberately excluded.
How the annotations were derived
Selection is grounded in measurements rather than caption guesswork:
- Instance count and geometry come from connected components of the SAM2 binary mask, so "the dog on the left" is checkable and the visual GT keeps only the named instance.
- Competing sources come from the source/target/residual decomposition shipped with the upstream corpora: level ratio and temporal overlap are measured directly.
- Voice vs non-voice is decided by Whisper's
<|nospeech|>posterior. DSP heuristics confuse animal calls with speech at a 30–43% false-positive rate, which is exactly the distinction the Which-only track rests on.
Off-screen sources are annotated on the residual track, not the mask: an object grounded by SAM2 is by construction visible, so a genuinely unseen source lives in "source audio minus visible target". For those samples the acoustic edit target is the residual and the visual GT is a null anchor.
Known gaps, stated plainly
- 285 samples have
visual_reasoning_kind = unavailable. Thereason*legacy tracks ship no mask, so no single-frame region can be recovered. Their acoustic GT is present (windowed by the storededit_frac). Nothing was fabricated to fill the gap. L1_region_human_addandL6_singingcarry a silent acoustic GT. These are instance-addition cases: the source contains nothing to replace, so the acoustic reasoning GT is a null anchor, matchingC4/R3.- 224 legacy samples share media with another legacy sample (singing over human_single, headshot/xa/xb over reason_scratch). That is the original bench design — same clip, different prompt. The newly sampled half has zero source overlap with the legacy half.
- Instructions for the SAM-derived tracks are templated from measured evidence, not human-written.
- Clip length follows 121/105/97/89/81/73/65 frames at 25 fps (legacy clips may go down to 49); 1,524 of 2,313 are the full 121 frames.
- Source material comes from internal talking-head, film/drama and sounding-object corpora. Redistribution beyond research use may be restricted by those sources' terms.
Leakage control
train_exclude.list (prod meta paths) and train_exclude_videoids.txt (2,087 source ids, the
stricter of the two) list everything the bench consumes. Remove them before training:
O=/path/to/ReasonAVEdit-instruction-data
comm -23 <(sort $O/reason_train_full_v2.list) <(sort train_exclude.list) > $O/reason_train_v3.list