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Datasets:
LIDAR-GT
/
HUGG_ARIA_PINHOLE

Tasks:
Video Classification
Object Detection
Tags:
project-aria
hot3d
egocentric
hand-tracking
License:
Dataset card Data Studio Files
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The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 9 new columns ({'q_wo_w', 'object_uid', 'q_wo_z', 'q_wo_y', 'q_wo_x', 'timestamp[ns]', 't_wo_y[m]', 't_wo_z[m]', 't_wo_x[m]'}) and 3 missing columns ({'frame_index', 'time_domain', 'timestamp_ns'}).

This happened while the csv dataset builder was generating data using

hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE/P0001_10a27bf7/headset_trajectory.csv (at revision e81cad9fea4a8b543f64853b0dbbe574766575f8), ['hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_10a27bf7/frame_timestamps_214_1.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_10a27bf7/headset_trajectory.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_10a27bf7/masks/mask_good_exposure.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_10a27bf7/masks/mask_hand_pose_available.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_10a27bf7/masks/mask_hand_visible.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_10a27bf7/masks/mask_headset_pose_available.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_10a27bf7/masks/mask_qa_pass.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_10a27bf7/timecode_devicetime_mapping.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_15c4300c/frame_timestamps_214_1.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_15c4300c/headset_trajectory.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_15c4300c/masks/mask_good_exposure.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_15c4300c/masks/mask_hand_pose_available.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_15c4300c/masks/mask_hand_visible.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_15c4300c/masks/mask_headset_pose_available.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_15c4300c/masks/mask_qa_pass.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_15c4300c/timecode_devicetime_mapping.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_23fa0ee8/frame_timestamps_214_1.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_23fa0ee8/headset_trajectory.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_23fa0ee8/masks/mask_good_exposure.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_23fa0ee8/masks/mask_hand_pose_available.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_23fa0ee8/masks/mask_hand_visible.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_23fa0ee8/masks/mask_headset_pose_available.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_23fa0ee8/masks/mask_qa_pass.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_23fa0ee8/timecode_devicetime_mapping.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_4bf4e21a/frame_timestamps_214_1.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_4bf4e21a/headset_trajectory.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_4bf4e21a/masks/mask_good_exposure.csv', 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'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0020_ca89f242/timecode_devicetime_mapping.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0020_dd30b789/frame_timestamps_214_1.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0020_dd30b789/headset_trajectory.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0020_dd30b789/timecode_devicetime_mapping.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0020_e57a7203/frame_timestamps_214_1.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0020_e57a7203/headset_trajectory.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0020_e57a7203/timecode_devicetime_mapping.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0020_eed59f82/frame_timestamps_214_1.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0020_eed59f82/headset_trajectory.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0020_eed59f82/timecode_devicetime_mapping.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0020_f2085226/frame_timestamps_214_1.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0020_f2085226/headset_trajectory.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0020_f2085226/timecode_devicetime_mapping.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0020_f7e3f9ab/frame_timestamps_214_1.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0020_f7e3f9ab/headset_trajectory.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0020_f7e3f9ab/timecode_devicetime_mapping.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0020_ff537251/frame_timestamps_214_1.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0020_ff537251/headset_trajectory.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0020_ff537251/timecode_devicetime_mapping.csv']

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              object_uid: int64
              timestamp[ns]: int64
              t_wo_x[m]: double
              t_wo_y[m]: double
              t_wo_z[m]: double
              q_wo_w: double
              q_wo_x: double
              q_wo_y: double
              q_wo_z: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1329
              to
              {'frame_index': Value('int64'), 'timestamp_ns': Value('int64'), 'time_domain': Value('string')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1839, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
                  ...<4 lines>...
                  )
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 9 new columns ({'q_wo_w', 'object_uid', 'q_wo_z', 'q_wo_y', 'q_wo_x', 'timestamp[ns]', 't_wo_y[m]', 't_wo_z[m]', 't_wo_x[m]'}) and 3 missing columns ({'frame_index', 'time_domain', 'timestamp_ns'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE/P0001_10a27bf7/headset_trajectory.csv (at revision e81cad9fea4a8b543f64853b0dbbe574766575f8), ['hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_10a27bf7/frame_timestamps_214_1.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_10a27bf7/headset_trajectory.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_10a27bf7/masks/mask_good_exposure.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_10a27bf7/masks/mask_hand_pose_available.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_10a27bf7/masks/mask_hand_visible.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_10a27bf7/masks/mask_headset_pose_available.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_10a27bf7/masks/mask_qa_pass.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_10a27bf7/timecode_devicetime_mapping.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_15c4300c/frame_timestamps_214_1.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_15c4300c/headset_trajectory.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_15c4300c/masks/mask_good_exposure.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_15c4300c/masks/mask_hand_pose_available.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_15c4300c/masks/mask_hand_visible.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_15c4300c/masks/mask_headset_pose_available.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_15c4300c/masks/mask_qa_pass.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_15c4300c/timecode_devicetime_mapping.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_23fa0ee8/frame_timestamps_214_1.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_23fa0ee8/headset_trajectory.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_23fa0ee8/masks/mask_good_exposure.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_23fa0ee8/masks/mask_hand_pose_available.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_23fa0ee8/masks/mask_hand_visible.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_23fa0ee8/masks/mask_headset_pose_available.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_23fa0ee8/masks/mask_qa_pass.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_23fa0ee8/timecode_devicetime_mapping.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_4bf4e21a/frame_timestamps_214_1.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_4bf4e21a/headset_trajectory.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_4bf4e21a/masks/mask_good_exposure.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_4bf4e21a/masks/mask_hand_pose_available.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_4bf4e21a/masks/mask_hand_visible.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_4bf4e21a/masks/mask_headset_pose_available.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_4bf4e21a/masks/mask_qa_pass.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_4bf4e21a/timecode_devicetime_mapping.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_550ea2ac/frame_timestamps_214_1.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_550ea2ac/headset_trajectory.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_550ea2ac/masks/mask_good_exposure.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_550ea2ac/masks/mask_hand_pose_available.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_550ea2ac/masks/mask_hand_visible.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_550ea2ac/masks/mask_headset_pose_available.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_550ea2ac/masks/mask_qa_pass.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_550ea2ac/timecode_devicetime_mapping.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_624f2ba9/frame_timestamps_214_1.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_624f2ba9/headset_trajectory.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_624f2ba9/masks/mask_good_exposure.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_624f2ba9/masks/mask_hand_pose_available.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_624f2ba9/masks/mask_hand_visible.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_624f2ba9/masks/mask_headset_pose_available.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_624f2ba9/masks/mask_qa_pass.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_624f2ba9/timecode_devicetime_mapping.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_83b755aa/frame_timestamps_214_1.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_83b755aa/headset_trajectory.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_83b755aa/masks/mask_good_exposure.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_83b755aa/masks/mask_hand_pose_available.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_83b755aa/masks/mask_hand_visible.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_83b755aa/masks/mask_headset_pose_available.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_83b755aa/masks/mask_qa_pass.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_83b755aa/timecode_devicetime_mapping.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_8d136980/frame_timestamps_214_1.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_8d136980/headset_trajectory.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_8d136980/masks/mask_good_exposure.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_8d136980/masks/mask_hand_pose_available.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_8d136980/masks/mask_hand_visible.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_8d136980/masks/mask_headset_pose_available.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_8d136980/masks/mask_qa_pass.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_8d136980/timecode_devicetime_mapping.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_95eabc0a/frame_timestamps_214_1.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_95eabc0a/headset_trajectory.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_95eabc0a/masks/mask_good_exposure.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_95eabc0a/masks/mask_hand_pose_available.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0001_95eabc0a/masks/mask_hand_visible.csv', 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'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0020_78ef7ed3/frame_timestamps_214_1.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0020_78ef7ed3/headset_trajectory.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0020_78ef7ed3/timecode_devicetime_mapping.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0020_8b37a79e/frame_timestamps_214_1.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0020_8b37a79e/headset_trajectory.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0020_8b37a79e/timecode_devicetime_mapping.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0020_aeb1832c/frame_timestamps_214_1.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0020_aeb1832c/headset_trajectory.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0020_aeb1832c/timecode_devicetime_mapping.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0020_c76c587a/frame_timestamps_214_1.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0020_c76c587a/headset_trajectory.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0020_c76c587a/timecode_devicetime_mapping.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0020_ca89f242/frame_timestamps_214_1.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0020_ca89f242/headset_trajectory.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0020_ca89f242/timecode_devicetime_mapping.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0020_dd30b789/frame_timestamps_214_1.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0020_dd30b789/headset_trajectory.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0020_dd30b789/timecode_devicetime_mapping.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0020_e57a7203/frame_timestamps_214_1.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0020_e57a7203/headset_trajectory.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0020_e57a7203/timecode_devicetime_mapping.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0020_eed59f82/frame_timestamps_214_1.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0020_eed59f82/headset_trajectory.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0020_eed59f82/timecode_devicetime_mapping.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0020_f2085226/frame_timestamps_214_1.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0020_f2085226/headset_trajectory.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0020_f2085226/timecode_devicetime_mapping.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0020_f7e3f9ab/frame_timestamps_214_1.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0020_f7e3f9ab/headset_trajectory.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0020_f7e3f9ab/timecode_devicetime_mapping.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0020_ff537251/frame_timestamps_214_1.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0020_ff537251/headset_trajectory.csv', 'hf://datasets/LIDAR-GT/HUGG_ARIA_PINHOLE@e81cad9fea4a8b543f64853b0dbbe574766575f8/P0020_ff537251/timecode_devicetime_mapping.csv']
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

frame_index
int64
timestamp_ns
int64
time_domain
string
0
57,734,008,221,729
TIME_CODE
1
57,734,041,549,044
TIME_CODE
2
57,734,074,876,427
TIME_CODE
3
57,734,108,214,260
TIME_CODE
4
57,734,141,536,731
TIME_CODE
5
57,734,174,860,383
TIME_CODE
6
57,734,208,195,587
TIME_CODE
7
57,734,241,550,292
TIME_CODE
8
57,734,274,874,840
TIME_CODE
9
57,734,308,208,597
TIME_CODE
10
57,734,341,534,565
TIME_CODE
11
57,734,374,857,057
TIME_CODE
12
57,734,408,184,438
TIME_CODE
13
57,734,441,515,942
TIME_CODE
14
57,734,474,843,310
TIME_CODE
15
57,734,508,174,603
TIME_CODE
16
57,734,541,550,395
TIME_CODE
17
57,734,574,879,364
TIME_CODE
18
57,734,608,208,141
TIME_CODE
19
57,734,641,539,346
TIME_CODE
20
57,734,674,866,779
TIME_CODE
21
57,734,708,194,211
TIME_CODE
22
57,734,741,558,790
TIME_CODE
23
57,734,774,882,446
TIME_CODE
24
57,734,808,243,315
TIME_CODE
25
57,734,841,570,683
TIME_CODE
26
57,734,874,898,038
TIME_CODE
27
57,734,908,229,157
TIME_CODE
28
57,734,941,556,600
TIME_CODE
29
57,734,974,880,836
TIME_CODE
30
57,735,008,202,979
TIME_CODE
31
57,735,041,534,650
TIME_CODE
32
57,735,074,860,177
TIME_CODE
33
57,735,108,191,198
TIME_CODE
34
57,735,141,552,096
TIME_CODE
35
57,735,174,879,346
TIME_CODE
36
57,735,208,206,153
TIME_CODE
37
57,735,241,533,899
TIME_CODE
38
57,735,274,861,619
TIME_CODE
39
57,735,308,189,275
TIME_CODE
40
57,735,341,516,669
TIME_CODE
41
57,735,374,925,975
TIME_CODE
42
57,735,408,238,443
TIME_CODE
43
57,735,441,565,837
TIME_CODE
44
57,735,474,893,230
TIME_CODE
45
57,735,508,269,036
TIME_CODE
46
57,735,541,600,130
TIME_CODE
47
57,735,574,961,023
TIME_CODE
48
57,735,608,255,529
TIME_CODE
49
57,735,641,586,635
TIME_CODE
50
57,735,674,926,565
TIME_CODE
51
57,735,708,242,779
TIME_CODE
52
57,735,741,570,167
TIME_CODE
53
57,735,774,898,168
TIME_CODE
54
57,735,808,223,394
TIME_CODE
55
57,735,841,553,384
TIME_CODE
56
57,735,874,873,793
TIME_CODE
57
57,735,908,210,801
TIME_CODE
58
57,735,941,533,272
TIME_CODE
59
57,735,974,867,330
TIME_CODE
60
57,736,008,185,246
TIME_CODE
61
57,736,041,523,975
TIME_CODE
62
57,736,074,882,878
TIME_CODE
63
57,736,108,209,715
TIME_CODE
64
57,736,141,537,515
TIME_CODE
65
57,736,174,864,164
TIME_CODE
66
57,736,208,187,789
TIME_CODE
67
57,736,241,520,652
TIME_CODE
68
57,736,274,884,603
TIME_CODE
69
57,736,308,210,066
TIME_CODE
70
57,736,341,533,741
TIME_CODE
71
57,736,374,866,203
TIME_CODE
72
57,736,408,197,302
TIME_CODE
73
57,736,441,524,677
TIME_CODE
74
57,736,476,546,353
TIME_CODE
75
57,736,508,276,238
TIME_CODE
76
57,736,541,599,500
TIME_CODE
77
57,736,574,936,674
TIME_CODE
78
57,736,608,262,639
TIME_CODE
79
57,736,641,591,046
TIME_CODE
80
57,736,674,934,689
TIME_CODE
81
57,736,708,256,863
TIME_CODE
82
57,736,741,575,419
TIME_CODE
83
57,736,774,901,437
TIME_CODE
84
57,736,808,226,243
TIME_CODE
85
57,736,841,555,961
TIME_CODE
86
57,736,874,885,748
TIME_CODE
87
57,736,908,213,295
TIME_CODE
88
57,736,941,536,734
TIME_CODE
89
57,736,974,865,189
TIME_CODE
90
57,737,008,194,401
TIME_CODE
91
57,737,041,521,894
TIME_CODE
92
57,737,074,882,742
TIME_CODE
93
57,737,108,210,129
TIME_CODE
94
57,737,141,537,543
TIME_CODE
95
57,737,174,864,972
TIME_CODE
96
57,737,208,225,888
TIME_CODE
97
57,737,241,553,307
TIME_CODE
98
57,737,274,880,658
TIME_CODE
99
57,737,308,210,287
TIME_CODE
End of preview.

HUGG ARIA Pinhole

This is a derived, frame-aligned pinhole version of the public LIDAR-GT/HUGG_ARIA dataset.

Each RGB frame is generated with the official HOT3D/Project Aria calibration path:

  1. Read stream 214-1 from recording.vrs at its exact TIME_CODE timestamp.
  2. Query the per-frame online FISHEYE624 calibration.
  3. Query the per-frame online LINEAR calibration.
  4. Warp the source image with projectaria_tools.core.calibration.distort_by_calibration.

This is pixel-equivalent to AriaDataProvider.get_undistorted_image() at the same timestamp. Every sequence is validated on sampled frames, and the encoded video is decoded again to verify its frame count.

Sequence layout 

<SEQUENCE>/
  rgb_214_1_pinhole.mp4
  frame_timestamps_214_1.csv
  frame_pinhole_calibration_214_1.jsonl
  headset_trajectory.csv
  mano_hand_pose_trajectory.jsonl
  masks/*.csv
  source_metadata.json
  metadata.json
  _SUCCESS.json

frame_pinhole_calibration_214_1.jsonl stores the exact target intrinsics and T_device_camera used for every encoded frame. Gaussian/MANO rendering should use the calibration record with the same frame_index and timestamp_ns.

No learned hand detector boxes are generated. A hand box can be obtained from the extrema of valid pixels in a Gaussian/MANO alpha render, which keeps the box synchronized with the rendered hand prior.

Video encoding

Videos are H.264, 1408x1408, 30 FPS, yuv420p, NVENC CQ 20, with a one-second GOP. Encoding is lossy; timestamps and camera calibration are lossless text sidecars.

License

This derived dataset remains subject to the licenses and terms distributed with the source HOT3D/HUGG_ARIA data. Per-sequence license files are retained when available.
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