Update README.md

README.md

@@ -5,7 +5,6 @@ configs:
     data_files:
       - split: train
         path: track/train-*
-
 license: apache-2.0
 task_categories:
   - video-classification
@@ -13,25 +12,91 @@ task_categories:
 tags:
   - video-object-tracking
   - video-segmentation
+  - synthetic
 ---
 
-# molmopoint-tracksyn Tracking Dataset
+# 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
+
+| Split | Examples |
+|-------|----------|
+| train | _TBD_    |
+
+## Schema
 
-Video object tracking annotations for molmopoint-tracksyn.
+| 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 |
 
-## Configs
+## 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()
+```
 
-| Config | Description | Splits |
-|--------|-------------|--------|
-| `track` (default) | Track points across all frames | train |
+### 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
 
-# Default (track)
+# Load the dataset
 ds = load_dataset("allenai/MolmoPoint-TrackSyn", split="train")
 
-# Specific config
-ds = load_dataset("allenai/MolmoPoint-TrackSyn", "ground", split="train")
+# Inspect an example
+print(ds[0])
 ```
+
+## Citation
+
+If you use this dataset, please cite the MolmoPoint paper.