Datasets:

allenai
/

MolmoPoint-TrackSyn

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

from olmo.data.molmo2_video_track_datasets import MolmoPointTrackSyn

# Downloads the tar from HF, extracts, and verifies
MolmoPointTrackSyn.download()

Manual download

# 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

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.