Datasets:

zjt24
/

so101_IF_5

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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 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.

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.

SO101 IF 5 TsFile

This dataset is converted from 5hadytru/so101_IF_5 to Apache TsFile format.

Modalities: Time-series. The converted repository contains numeric robot state/action trajectories and LeRobot metadata. Camera videos are not included in this TsFile conversion; they remain in the original Hugging Face dataset under its videos/ tree.

Source Dataset

Original dataset: 5hadytru/so101_IF_5
License: apache-2.0
Robot type from source metadata: so101_follower
Source codebase version from metadata: v3.0
Source split: train, episodes 0:246
Sampling rate: 30 fps
Source task family from the dataset card: placing household objects in a plastic bin, placing objects next to or between other objects, and moving objects left, right, forwards, or backwards.
Source card note: 25 household objects, with task wording controlled for ambiguity.

Converted Data

TsFile path: data/so101_if_5.tsfile
Table name: so101_if_5
Converted rows: 109,012
Episodes: 246
Tasks: 155
Source frame Parquet files converted: 163
Output file size: 2,737,386 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-101 joint names from the source metadata:

shoulder_pan.pos
shoulder_lift.pos
elbow_flex.pos
wrist_flex.pos
wrist_roll.pos
gripper.pos

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.front and observation.images.overhead are omitted from this repository. Use the original dataset videos at 5hadytru/so101_IF_5/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/so101_if_5.tsfile")
print(tsfile_path)

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

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Total file size:

11.5 MB