| --- |
| configs: |
| - config_name: track |
| default: true |
| data_files: |
| - split: train |
| path: track/train-* |
| license: apache-2.0 |
| task_categories: |
| - video-classification |
| - object-detection |
| tags: |
| - video-object-tracking |
| - video-segmentation |
| - synthetic |
| --- |
| |
| # MolmoPoint-TrackSyn Dataset |
|
|
| Synthetic point tracking annotations for procedurally generated videos generated with Blender. |
|
|
| Each example contains an expression describing an object, per-frame point trajectories, and video metadata. All videos are encoded as **6 FPS** and points are sampled at **2 FPS**. |
|
|
| ## Dataset Statistics |
|
|
| | Video Source | Unique Annotations | Unique Videos | |
| |-------------|-------------------|-----------------| |
| | static-camera | 34,324 | 11,629 | |
| | dyna-camera | 41,841 | 14,158 | |
| | **Total** | **76,165** | **25,787** | |
|
|
| ## Schema |
|
|
| | Column | Type | Description | |
| |--------|------|-------------| |
| | `id` | `string` | Unique example identifier | |
| | `video` | `string` | Relative video path (without extension), e.g. `static-camera/{run_dir}/{video_file}`. We support static camera (`static-camera`) and dynamic camera (`dyna-camera`) setups. | |
| | `expression` | `string` | Natural-language description of the tracked object | |
| | `fps` | `int64` | Original video FPS | |
| | `sampling_fps` | `int64` | Sampling FPS used for annotation (always 2) | |
| | `height` | `int64` | Video height in pixels | |
| | `width` | `int64` | Video width in pixels | |
| | `n_frames` | `int64` | Number of frames in the sampled clip | |
| | `task` | `string` | Task type (always `"track"`) | |
| | `frame_trajectories` | `list[object]` | Per-frame point tracks (frame index, timestamp, point coords + occlusion) | |
| | `mask_id` | `list[string]` | Optional mask identifiers | |
| | `obj_id` | `list[int64]` | Optional object identifiers | |
|
|
| ## Video Download |
|
|
| Videos are bundled in this repository as `synthetic_tracks.tar`. |
|
|
| ### Automatic download |
|
|
| ```python |
| from olmo.data.molmo2_video_track_datasets import MolmoPointTrackSyn |
| |
| # Downloads the tar from HF, extracts, and verifies |
| MolmoPointTrackSyn.download() |
| ``` |
|
|
| ### Manual download |
|
|
| ```bash |
| # Download the tar from HuggingFace |
| huggingface-cli download allenai/MolmoPoint-TrackSyn synthetic_tracks.tar --repo-type dataset --local-dir ./MolmoPoint-TrackSyn |
| |
| # Extract |
| tar -xf ./MolmoPoint-TrackSyn/synthetic_tracks.tar -C ./MolmoPoint-TrackSyn/ |
| ``` |
|
|
| After extraction the directory structure is: |
|
|
| ``` |
| MolmoPoint-TrackSyn/ |
| ├── static-camera/ |
| │ ├── {run_dir}/ |
| │ │ ├── video.mp4 |
| │ │ └── metadata.json |
| │ └── ... |
| └── dyna-camera/ |
| ├── {run_dir}/ |
| │ ├── video.mp4 |
| │ └── metadata.json |
| └── ... |
| ``` |
|
|
| The `video` column maps directly to the file path: `{VIDEO_HOME}/{video}/video.mp4 |
| |
| ## Usage |
| |
| ```python |
| from datasets import load_dataset |
|
|
| # Load the dataset |
| ds = load_dataset("allenai/MolmoPoint-TrackSyn", split="train") |
| |
| # Inspect an example |
| print(ds[0]) |
| ``` |
| |
| ## Citation |
| |
| If you use this dataset, please cite the MolmoPoint paper. |
| |
| ## License |
| Dataset license: ODC-BY |
| Dataset card (License section): This dataset is licensed under ODC-BY. |
| It is intended for research and educational use in accordance with [Ai2’s Responsible Use Guidelines](https://allenai.org/responsible-use). |
