Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "tsfile/tsfile_py_cpp.pyx", line 567, in tsfile.tsfile_py_cpp.tsfile_reader_new_c
tsfile.exceptions.FileOpenError: 28:
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
~~~~~~~~~~~~~~~~~~~~~~~~~^
StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 271, in _split_generators
scan = self._scan_metadata(all_files)
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 318, in _scan_metadata
with self._open_reader(file) as reader:
~~~~~~~~~~~~~~~~~^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 742, in _open_reader
return TsFileReader(file)
File "tsfile/tsfile_reader.pyx", line 323, in tsfile.tsfile_reader.TsFileReaderPy.__init__
SystemError: <class '_weakrefset.WeakSet'> returned a result with an exception set
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/split_names.py", line 68, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.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.
g1_05_23 (TsFile)
Apache TsFile version of Jiangeng/G1_05_23.
Overview
This dataset is a LeRobot v2.1 dataset of a Unitree G1 humanoid recorded at 50 fps, with whole-body teleoperation state, WBC action, motion tokens and SMPL body/hand poses.
- Robot: Unitree G1 humanoid
- Scale: 33 episodes, 37,420 frames, 50 fps
- Split: train
- Cameras (not uploaded):
ego_view
Schema (TsFile structure)
The TsFile table is named g1_05_23.
| Role | Columns |
|---|---|
| Time | Time, INT64 milliseconds |
| TAG | episode_index, task_index |
| FIELD | frame_index, sample_index |
| FIELD | observation_state_0 … observation_state_42 |
| FIELD | observation_eef_state_0 … observation_eef_state_13 |
| FIELD | action_wbc_0 … action_wbc_42 |
| FIELD | action_motion_token_0 … action_motion_token_63 |
| FIELD | observation_root_orientation_* |
| FIELD | observation_projected_gravity_* |
| FIELD | observation_cpp_rotation_offset_* |
| FIELD | observation_init_base_quat_* |
| FIELD | teleop_smpl_joints_* / teleop_smpl_pose_* / teleop_body_quat_w_* / teleop_target_body_orientation_* |
| FIELD | teleop_left_hand_joints_* / teleop_right_hand_joints_* / teleop_left_wrist_joints_* / teleop_right_wrist_joints_* |
| FIELD | teleop_planner_movement_* / teleop_planner_facing_* / teleop_vr_3pt_position_* / teleop_vr_3pt_orientation_* |
| FIELD | teleop_delta_heading, teleop_planner_speed, teleop_planner_height |
| FIELD | teleop_smpl_frame_index, teleop_stream_mode, teleop_planner_mode |
Vector columns are flattened into scalar FLOAT measurements (single precision). The source index column is retained as sample_index.
Conversion notes
Time = round(timestamp * 1000)with millisecond precision; time restarts inside each episode, whileepisode_indexandtask_indexidentify the TsFile device.- The original
timestampfield is omitted because it is exactly represented byTime / 1000. - Camera video streams are NOT included in this repository; they remain in the source videos tree.
- The source stores floating-point vectors as double; they are flattened to single-precision FLOAT in the TsFile.
meta/is mirrored from the source. Aside from the redundanttimestampcolumn and the excluded videos, no source rows or numeric fields are dropped.
Read example
from tsfile import TsFileReader
with TsFileReader("data/g1_05_23.tsfile") as reader:
print(reader.get_all_table_schemas()["g1_05_23"])
Source & license
- Original dataset: https://huggingface.co/datasets/Jiangeng/G1_05_23
- Author: Jiangeng
- License: not declared by the original dataset; please defer to the original.
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