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license: cc-by-4.0
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---
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license: cc-by-4.0
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language:
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- en
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tags:
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- code
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pretty_name: SAM
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size_categories:
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- 10K<n<100K
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---
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## Dataset Overview
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- **Name**: SAM (Spatial Audio-driven human Motion)
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- **Purpose**: This dataset provides paired human motion sequences and corresponding spatial audio for modeling and analysis.
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- **Source**: Captured using a Vicon motion capture system.
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- **Size**: Over 9 hours of recordings at 120 frames per second (FPS).
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## Folder Structure
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```text
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SAM/
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|- audio/
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│- bvh/
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|- c3d/
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|- motion/
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|- retarget/
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|- splits/
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|- stereo_audio/
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|- ignore_list.txt
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|- ssl.npy
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|- subject_ids.txt
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```
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- **`audio/`**: Stereo audio clips that have already been separated into left and right channels.
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- **`bvh/`**: Raw BVH motion-capture exports from the Vicon Shogun pipeline.
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- **`c3d/`**: Raw C3D recordings from the same capture sessions, preserved for custom processing.
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- **`motion/`**: MOSPA-ready motion files in NPZ format, including the sound-source location in the character’s local space.
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- **`retarget/`**: BVH files after the retargeting step, prior to conversion into the NPZ motion assets.
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- **`splits/`**: Dataset split definitions (train/val/test) stored as three TXT files indexed by IDs.
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- **`stereo_audio/`**: Stereo audio sequences aligned with each motion sample via shared IDs.
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## Important Files
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- **`ignore_list.txt`**: IDs flagged for questionable motion or audio; skip them at your discretion.
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- **`ssl.npy`**: Global sound-source coordinates (AMASS frame). Shape `(12, 4, 3)` = 12 subjects × 4 speakers × XYZ.
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- **`subject_ids.txt`**: Maps every motion sequence ID to its subject.
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## How to Use This Dataset
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Usage and baseline pipelines: [MOSPA](https://github.com/xsy27/Mospa-Acoustic-driven-Motion-Generation.git).
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## ID Encoding
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Each sample ID is a 7-digit token:
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| Digits | Meaning | Values |
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| --- | --- | --- |
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| 0–2 | Audio clip | |
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| 3 | Source direction | `0 front`, `1 right`, `2 left`, `3 back` |
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| 4 | Speaker | `0 Speaker_A_R`, `1 Speaker_A_L`, `2 Speaker_B_R`, `3 Speaker_B_L` |
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| 5 | Distance | `0 close`, `1 far` |
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| 6 | Motion genre | `0 insensitive`, `1 neutral`, `2 sensitive` |
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## Known Issues
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We recommend retargeting motions yourself; raw BVH/C3D files are provided for that purpose. Some sound-source annotations contain mocap noise, so consider using the fixed global locations defined in `ssl.npy`.
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