| --- |
| license: other |
| task_categories: |
| - text-to-video |
| - audio-to-audio |
| language: |
| - en |
| tags: |
| - spatial-audio |
| - audio-visual |
| - stereo |
| - video-editing |
| - ltx |
| size_categories: |
| - 100K<n<1M |
| --- |
| |
| # SpatialAV2AV — Spatial Audio-Video Editing Dataset |
|
|
| Source→edit pairs for training **spatial (binaural/stereo) audio-video editing** with LTX-2. |
| Each pair renders the **same clip under a different camera trajectory**; the model learns |
| `source (pre-edit space) + trajectory instruction → edit (target space)` for both video and |
| the stereo sound field. |
|
|
| ## Contents |
|
|
| Each sample is a triple sharing one basename `<video_id>+<traj>`: |
|
|
| | Path | What | |
| |------|------| |
| | `final_json/<clip>.json` | metadata: `video_id`, `traj_name`, `width`, `height`, `fps`, and **relative** paths to `source`/`edit` | |
| | `final_edit/<clip>.mp4` | **target** video — carries embedded **2-channel / 44.1 kHz stereo** audio | |
| | `final_source/<clip>.mp4` | **condition** video (same clip, source camera) — also embedded stereo audio | |
|
|
| > Audio is **inside the MP4s** (AAC, real stereo). No separate `.wav` files are needed — |
| > the trainer reads the audio track directly from each MP4. |
|
|
| `all.list` lists the **116,147-pair training split** (relative json paths). The `final_source`/ |
| `final_edit` folders may contain a larger pool; `all.list` is the authoritative training set. |
|
|
| **Camera trajectories:** `push_in`, `pull_out`, `pan_left`, `pan_right`, `rotate_left`, |
| `rotate_right`, `fixed_left`, `fixed_right`, `fixed_rot_left`, `fixed_rot_right`. |
|
|
| ## Sizes |
|
|
| - Training split: **116,147 pairs**, ~**147 GB** (edit ~0.79 MB + source ~0.50 MB per pair). |
| - Resolutions: short side ~480; assorted aspect ratios. `fps` = 25. |
|
|
| ## Usage |
|
|
| ```python |
| from huggingface_hub import snapshot_download |
| root = snapshot_download("BingoG/LTX", repo_type="dataset") |
| # point the trainer's data.json_list at f"{root}/all.list" |
| # json paths inside are relative to `root`, so they resolve after download. |
| ``` |
|
|
| The training loader normalizes each `final_json` entry to `(edit=target video+audio, |
| source=condition video+audio)` and derives the caption from `traj_name`. |
| |
