| --- |
| license: openrail |
| language: |
| - en |
| task_categories: |
| - text-to-video |
| tags: |
| - synthetic-data |
| - video |
| - world-model |
| - action-conditioned-video |
| - embodied-ai |
| - graphics |
| - capsaicin |
| pretty_name: Micro-World-Capsaicin |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # Micro-World-Capsaicin |
|
|
| This dataset is part of the work [Micro-World V2](https://github.com/AMD-AGI/Micro-World). Micro-World-Capsaicin is a synthetic video dataset rendered with the open-source [AMD Capsaicin framework](https://github.com/GPUOpen-LibrariesAndSDKs/Capsaicin). It pairs rendered videos with English scene descriptions and frame-aligned control traces, making it suitable for research on action-conditioned video generation, world models, temporal prediction, and embodied-agent representation learning. |
|
|
| The dataset contains two sequence lengths, 200 frames and 400 frames. Every trajectory is provided in two video resolutions: a 360x640 resolution version under `video/` and a 4K version under `4k_videos/`. Files with the same basename represent the same trajectory and control sequence. |
|
|
| ## Dataset summary |
|
|
| | Group | Unique trajectories | Frames per trajectory | Approximate size | |
| |---|---:|---:|---:| |
| | `200f` | 440 | 200 | 52.4 GB | |
| | `400f` | 374 | 400 | 88.8 GB | |
| | **Total** | **814** | — | **141 GB** | |
|
|
| The counts and sizes above describe the current `main` revision. |
|
|
| ## Repository structure |
|
|
| ```text |
| Micro-World-Capsaicin/ |
| ├── 200f/ |
| │ ├── video/ # 360x640 Standard-resolution MP4 files |
| │ ├── 4k_videos/ # 4K MP4 files |
| │ ├── metadata-detection/ # Frame-aligned control JSON files |
| │ └── video_captions_v0.csv # Video descriptions and frame ranges |
| └── 400f/ |
| ├── video/ |
| ├── 4k_videos/ |
| ├── metadata-detection/ |
| └── video_captions_v0.csv |
| ``` |
|
|
| Within a frame group, the MP4 and JSON files are aligned by basename. For example: |
|
|
| ```text |
| 200f/video/allow_gallery_pitch_allow_a000_v00.mp4 |
| 200f/4k_videos/allow_gallery_pitch_allow_a000_v00.mp4 |
| 200f/metadata-detection/allow_gallery_pitch_allow_a000_v00.json |
| ``` |
|
|
| ## Data fields |
|
|
| ### Caption CSV |
|
|
| Each `video_captions_v0.csv` file contains one row per unique trajectory: |
|
|
| | Column | Description | |
| |---|---| |
| | `original video name` | MP4 filename used to locate both resolution variants and the corresponding JSON file. | |
| | `prompt` | Description of the rendered scene and its visible content. | |
| | `start frame index` | Inclusive first frame index. | |
| | `end frame index` | Inclusive final frame index. | |
|
|
| ### Control JSON |
|
|
| Each file in `metadata-detection/` contains normalization factors and a dictionary of actions indexed by frame number. A shortened example is shown below: |
|
|
| ```json |
| { |
| "mouse_normalized_to_mc": { |
| "yaw_factor": 0.06666666666666667, |
| "pitch_factor": 0.06666666666666667 |
| }, |
| "actions": { |
| "0": { |
| "ws": 1, |
| "ad": 0, |
| "scs": 0, |
| "pitch_delta": 0.0, |
| "yaw_delta": 0.0, |
| "collision": 0, |
| "jump_invalid": 0 |
| } |
| } |
| } |
| ``` |
|
|
| The action entries include encoded movement state (`ws`, `ad`, and `scs`), camera pitch and yaw changes, and collision or invalid-jump indicators. These values are pipeline-specific encodings; consumers should preserve the values as recorded and use the mapping supplied with the project code when it becomes available. |
