Datasets:

zjt24
/

so100_413

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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SO100 413 TsFile

This dataset is converted from Jiangeng/so100_413 to Apache TsFile format.

The source dataset was created using LeRobot and contains an SO-100 robot task with synchronized video streams. This converted repository stores the numeric time-series features as Apache TsFile and keeps videos in the original Hugging Face dataset.

Modalities: Time-series.

Source Dataset

Original dataset: Jiangeng/so100_413
License: apache-2.0
Task category: robotics
Source task: Pick the cube
LeRobot codebase version: v2.1
Robot type: so100
Source split: train, episodes 0:50
Sampling rate: 30 fps
Source videos: 100 video files across observation.images.top and observation.images.wrist_left

Converted Data

TsFile path: data/so100_413.tsfile
Table name: so100_413
Converted rows: 17,851
Episodes: 50
Tasks: 1
Source frame Parquet files converted: 50
Output file size: 420,347 bytes
Time precision: milliseconds

Schema

Time: integer timestamp in milliseconds, computed as round(timestamp * 1000).
TAG columns: episode_index, task_index.
Integer FIELD columns: frame_index, sample_index.
FLOAT FIELD columns: action_0 through action_5.
FLOAT FIELD columns: observation_state_0 through observation_state_5.

The six action and observation-state dimensions follow the SO-100 joint names from the source metadata:

left_shoulder_pan
left_shoulder_lift
left_elbow_flex
left_wrist_flex
left_wrist_roll
left_gripper

Conversion Notes

Vector columns are flattened while preserving source names: action becomes action_0..action_5, and observation.state becomes observation_state_0..observation_state_5.
The source timestamp column is dropped because it is represented by Time / 1000 seconds after conversion.
The source index column is renamed to sample_index.
Video features observation.images.top and observation.images.wrist_left are omitted from this repository. Use the original dataset videos at Jiangeng/so100_413/videos.
Source meta/ files are mirrored, with meta/info.json updated to describe the converted TsFile path and schema.

Read Example

from pathlib import Path

tsfile_path = Path("data/so100_413.tsfile")
print(tsfile_path)

# Read this file with the Apache TsFile Java/Python SDK or TsFile tools.

Downloads last month: 28

Total file size:

537 kB