Datasets:

DAIRLab
/

tracking_dataset

Modalities:

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Split (1)

validation

The full dataset viewer is not available (click to read why). Only showing a preview of the rows.

The dataset generation failed

Error code:   DatasetGenerationError
Exception:    ArrowNotImplementedError
Message:      Cannot write struct type 'rgb_similarity_metrics' with no child field to Parquet. Consider adding a dummy child field.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1821, in _prepare_split_single
                  num_examples, num_bytes = writer.finalize()
                                            ^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 781, in finalize
                  self.write_rows_on_file()
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 663, in write_rows_on_file
                  self._write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 771, in _write_table
                  self._build_writer(inferred_schema=pa_table.schema)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 812, in _build_writer
                  self.pa_writer = pq.ParquetWriter(
                                   ^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pyarrow/parquet/core.py", line 1070, in __init__
                  self.writer = _parquet.ParquetWriter(
                                ^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/_parquet.pyx", line 2363, in pyarrow._parquet.ParquetWriter.__cinit__
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowNotImplementedError: Cannot write struct type 'rgb_similarity_metrics' with no child field to Parquet. Consider adding a dummy child field.
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1347, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 882, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1832, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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errors list	session_path string	status string	streams dict	warnings list
[]	tracking_dataset/sessions/.session_20260401_115938.tmp.1702512	passed	{ "zed_12540311_zed_m_sn12540311_depth_zed_sdk_neural_plus": { "clock_diagnostics": { "duplicate_acquisition_timestamp_count": 0, "host_acquisition_drift_slope_ns_per_ns": null, "host_acquisition_drift_slope_ns_per_s": null, "host_acquisition_drift_slope_units": "ns offset drift per second...	[]

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Check out the documentation for more information.

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: 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.

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Total file size:

3.97 GB