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DAIRLab/tracking_dataset

Converted Robotics Dataset This dataset stores authoritative timestamps and metadata in Parquet tables and stores frame payloads in video containers. Video presentation timestamps are not used for synchronization; use tables/frames.parquet and video_frame_idx. Core loading rule: decoded video frame k == frames.parquet row where video_frame_idx == k Useful files: dataset_manifest.parquet: converted sessions in this dataset root sessions/<session_id>/metadata/streams.parquet:… See the full description on the dataset page: https://huggingface.co/datasets/DAIRLab/tracking_dataset.

sourceHugging Faceupdated 5mo agoView on Hugging Face

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Dataset Card

Converted Robotics Dataset

This dataset stores authoritative timestamps and metadata in Parquet tables and stores frame payloads in video containers. Video presentation timestamps are not used for synchronization; use tables/frames.parquet and video_frame_idx.

Core loading rule:

text

decoded video frame k == frames.parquet row where video_frame_idx == k

Useful files:

—dataset_manifest.parquet: converted sessions in this dataset root
—sessions/<session_id>/metadata/streams.parquet: stream IDs and modalities
—sessions/<session_id>/metadata/videos.parquet: stream-to-video mapping
—sessions/<session_id>/tables/frames.parquet: authoritative timestamps, frame indices, clock domains, and hashes
—sessions/<session_id>/tables/robot_states.parquet: robot states, if present
—sessions/<session_id>/metadata/calibration.json: calibration and transform conventions
—sessions/<session_id>/metadata/validation_report.json: validation status

Downstream reading requires Python, NumPy, PyArrow, and PyAV/FFmpeg-compatible decoders. Camera SDKs are conversion-only dependencies.