Datasets:

THULab
/

ReubenLim_so101_tape_in_square

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.

SO101 Tape in Square TsFile

This is an Apache TsFile conversion of ReubenLim/so101_tape_in_square, a LeRobot v2.1 SO101 dataset for pushing a circle block to the blue square in the center.

Source and provenance

Original dataset: ReubenLim/so101_tape_in_square
Source repository snapshot: 44444e34637363c81246c1cb93ca915a5dfc9fb8
Repository owner, uploader, and commit author: Reuben Lim Yaw Hui (ReubenLim)
License: Apache-2.0
Paper/citation: not provided by the source repository
Robot: so101; LeRobot codebase: v2.1
Split: train; sampling frequency: 30 fps
Task 0: Push a circle block to the blue square in the center.
Scale: 62 episodes, 51,284 rows, one task, 62 source Parquet shards
Source data path: data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet

The source README still embeds an obsolete 3-episode info.json example. The counts above come from the repository meta/info.json, all source Parquet footers, and the complete repository tree.

TsFile dataset

TsFile: data/reubenlim_so101_tape_in_square.tsfile
Table: reubenlim_so101_tape_in_square
Rows/devices: 51,284 / 62
Time precision: milliseconds
Source Parquet size: 2,426,794 bytes
TsFile size: 711,154 bytes
TsFile/source size ratio: 0.293043
meta/ is preserved, with meta/info.json updated for this TsFile artifact.

Schema

Column or group	TsFile role	Type	Notes
`Time`	TIME	INT64	`round(timestamp * 1000)` ms; restarts at zero per episode
`episode_index`	TAG	STRING	Original integer value stored as a TsFile device/TAG segment
`task_index`	TAG	STRING	Original integer value stored as a TsFile device/TAG segment
`frame_index`	FIELD	INT64	Original per-episode frame index
`sample_index`	FIELD	INT64	Renamed from source `index`
`action_0` ... `action_5`	FIELD	FLOAT	Flattened source `action[6]`
`observation_state_0` ... `observation_state_5`	FIELD	FLOAT	Flattened source `observation.state[6]`

Vector prefixes preserve their source names, with . replaced by _.

Conversion details

Time: TS_2DIFF + LZ4
FLOAT/DOUBLE: GORILLA + LZ4
INT32/INT64: TS_2DIFF + LZ4
BOOLEAN: RLE + LZ4 when present; this source has no BOOLEAN field
TAG values use the TsFile table-model device/tag mechanism.
All train episodes are merged into one table and sorted by TAG columns and Time.
Source timestamp is dropped because it is represented by Time / 1000 seconds.
No numeric rows, action/state dimensions, frame indexes, episode indexes, or task indexes are dropped.
Camera pixels are video assets rather than Parquet columns and are not embedded in TsFile.

Videos

Videos are not included in this TsFile dataset. The original repository stores 124 frame-aligned AV1 MP4 files: 62 episodes for each of the birdEye and thirdPerson streams under videos/chunk-000/. The exact template is videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4. The source videos total 1,157,458,986 bytes and are 640x480 at 30 fps without audio. Stream sizes are 472,915,377 bytes (birdEye) and 684,543,609 bytes (thirdPerson). Use episode_index and frame_index to align TsFile rows with both views.

Minimal read example

from tsfile import TsFileReader

reader = TsFileReader("data/reubenlim_so101_tape_in_square.tsfile")
columns = [
    "episode_index",
    "task_index",
    "frame_index",
    "sample_index",
    "action_0",
    "observation_state_0",
]
with reader.query_table("reubenlim_so101_tape_in_square", columns, batch_size=65536) as result:
    batch = result.read_arrow_batch()
    print(batch.to_pandas().head())
reader.close()

Citation

The source repository provides no formal citation. Cite the original Hugging Face dataset and its repository author Reuben Lim Yaw Hui (ReubenLim) when using this conversion.

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