Datasets:

VGalaxies666
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koch_test

Tasks:

Robotics

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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.

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koch_test

This dataset converts all non-video Parquet time-series data found in jackvial/koch_test to Apache TsFile format.

Modalities: Time-series. The original Hugging Face dataset also includes video streams; videos are not copied into this TsFile repository.

Dataset Description

The source dataset was created using LeRobot. The current LeRobot metadata describes a Koch robot dataset with the task test_description.

Original dataset: jackvial/koch_test
Robot type: koch
Task: test_description
Sampling rate: 30 fps
License: apache-2.0
Current LeRobot metadata: v2.0, 2 episodes, 1,192 frames, 1 task
Legacy Parquet layout also present: 3 episodes, 880 rows
Source video path: videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4

Source Data Audit

The source repository contains two distinct non-video Parquet layouts. They are not duplicates: their row counts, episode counts, and schemas differ. Both are converted.

Source layout	Source files	Episodes	Rows	Converted file
LeRobot v2 chunk layout	`data/chunk-000/episode_000000.parquet`, `data/chunk-000/episode_000001.parquet`	2	1,192	`data/jackvial_koch_test_chunk_v2.tsfile`
Legacy train layout	`data/train-00000-of-00001.parquet`	3	880	`data/jackvial_koch_test_train_legacy.tsfile`

Video files are not converted. Source metadata directories meta/ and meta_data/ are mirrored for traceability.

Converted Data

`jackvial_koch_test_chunk_v2`

Output file: data/jackvial_koch_test_chunk_v2.tsfile
Source rows: 1,192
Table name: jackvial_koch_test_chunk_v2
TAG columns: episode_index, task_index
FIELD columns: frame_index, sample_index, next_reward, action_0..action_5, observation_state_0..observation_state_5
Time: Time = round(timestamp * 1000) milliseconds, restarting per episode

`jackvial_koch_test_train_legacy`

Output file: data/jackvial_koch_test_train_legacy.tsfile
Source rows: 880
Table name: jackvial_koch_test_train_legacy
TAG column: episode_index
FIELD columns: frame_index, sample_index, next_done, observation_state_0..observation_state_5, action_0..action_5
Time: Time = round(timestamp * 1000) milliseconds, restarting per episode

Conversion Notes

timestamp is converted to the TsFile Time column and is not retained as a separate field.
index is renamed to sample_index.
Source column names containing . are normalized by replacing . with _. For example, next.reward becomes next_reward.
Vector columns are flattened by preserving the source column name with . replaced by _, then appending the element index.
action[6] is flattened to action_0..action_5.
observation.state[6] is flattened to observation_state_0..observation_state_5.
The legacy train column observation.images.laptop is a video path/timestamp struct and is omitted from TsFile. The corresponding videos remain in the original dataset.
Aside from the redundant timestamp column and the video path struct noted above, no numeric source columns or rows are intentionally dropped.

Videos

Videos are not included in this TsFile repository. They remain in the original dataset under videos/.

Use episode_index, frame_index, and Time to align TsFile rows with the original video frames where applicable.

Metadata

The uploaded metadata includes:

meta/
meta_data/
tsfile_conversion.json

tsfile_conversion.json records the source files, row counts, episode coverage, converted TsFile paths, dropped timestamp handling, and video policy.

Usage

Read the TsFile files with the Apache TsFile Java or Python SDK:

chunk_v2_path = "data/jackvial_koch_test_chunk_v2.tsfile"
legacy_path = "data/jackvial_koch_test_train_legacy.tsfile"

# Example SQL idea:
# SELECT * FROM jackvial_koch_test_chunk_v2 WHERE episode_index = 0
# SELECT * FROM jackvial_koch_test_train_legacy WHERE episode_index = 0

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