Datasets:

zjt24
/

so101_red_cube_bowl_sim_v2

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 66, 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.

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SO101 Red Cube Bowl Sim v2

Apache TsFile conversion of qb1t/so101_red_cube_bowl_sim_v2, a LeRobot simulation trajectory dataset for an SO-101 follower robot.

Modalities: Time-series
Robot type: so101_follower
Sampling rate: 30 fps
Task: pick up red cube and place in white bowl
License: Apache-2.0

Dataset Scale

Item	Count
Episodes	50
Trajectory frames / TsFile rows	20,989
Tasks	1
Source camera videos	100
Converted TsFile files	1

All train episodes are merged into data/so101_red_cube_bowl_sim_v2_train.tsfile. Episodes remain independently queryable through the original episode_index and task_index TAG columns.

TsFile Schema

Role	Columns	Type / meaning
TIME	`Time`	INT64 milliseconds, `round(timestamp * 1000)`
TAG	`episode_index`, `task_index`	Original LeRobot episode and task identifiers
FIELD	`frame_index`, `sample_index`	Original frame index and renamed global source `index`
FIELD	`observation_state_0` ... `observation_state_5`	SO-101 state vector, FLOAT
FIELD	`action_0` ... `action_5`	SO-101 action vector, FLOAT

The six-element state and action vectors use this source order: shoulder_pan.pos, shoulder_lift.pos, elbow_flex.pos, wrist_flex.pos, wrist_roll.pos, and gripper.pos.

Conversion Notes

observation.state[6] and action[6] are flattened into scalar single-precision FLOAT fields. Full source prefixes are retained with . replaced by _.
Time = round(timestamp * 1000) milliseconds and restarts for every episode. The source timestamp column is dropped because it is redundant with Time.
Source index is retained as sample_index; frame_index is unchanged.
All 20,989 authoritative trajectory rows are retained, with no duplicate (episode_index, task_index, Time) keys.
The source repository contains both episode_*.parquet and file-*.parquet layouts for the same 50 episodes. The actual meta/info.json identifies episode_*.parquet as its data path, and the sampled first pair has identical schema, row count, and values. Only the authoritative episode layout is converted, preventing duplicate rows.
Source metadata is mirrored. meta/info.json is rewritten so its features and data path describe the converted TsFile while preserving source video details under tsfile_conversion.

Camera Videos

The source camera streams observation.images.ego and observation.images.external_D455 are not included in this repository. They are 640 x 480, 30 fps AV1 streams without audio. The original 100 videos remain available from the source dataset's videos/ tree.

TsFile rows stay aligned with source video frames through episode_index and frame_index.

Reading

from tsfile import TsFileReader

reader = TsFileReader("data/so101_red_cube_bowl_sim_v2_train.tsfile")
print(reader.get_all_table_schemas())
reader.close()

Source

Original dataset: https://huggingface.co/datasets/qb1t/so101_red_cube_bowl_sim_v2
Publisher: qb1t
Created using: https://github.com/huggingface/lerobot

Downloads last month: 179

Total file size:

3.55 MB