bigfacing/ReasonAVEdit-Bench-Landscape

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. The reason* legacy tracks ship no mask, so no single-frame region can be recovered. Their acoustic GT is present (windowed by the stored edit_frac). Nothing was fabricated to fill the gap.
• L1_region_human_add and L6_singing carry a silent acoustic GT. These are instance-addition cases: the source contains nothing to replace, so the acoustic reasoning GT is a null anchor, matching C4/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