Datasets:

azithromycin
/

seonixx_so100_test_v3

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 71, 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 Test V3 TsFile

This dataset is an Apache TsFile conversion of seonixx/so100_test_v3, a LeRobot v2.1 SO100 robot-manipulation dataset. It contains numeric trajectories, timing, episode/task tags, and source metadata. Videos remain in the original Hugging Face repository.

Source Dataset and Attribution

Original dataset: seonixx/so100_test_v3
Pinned revision: 77c33dbab49adaf3d12cf15551d0cd591fbcc2e3
Original author/uploader: Simon White (seonixx)
Authorship evidence: the repository is owned by seonixx; its four commits are attributed to seonixx or the profile name Simon White.
License: Apache-2.0
Task: "Pick up the blue block and place it in the box."
Robot: so100; LeRobot version: v2.1
Split: train; sampling rate: 30 fps
Scale: 100 episodes, 59,693 frames, 1 task
Source shards: 100 Parquet files under data/chunk-000/episode_{episode_index:06d}.parquet
Paper, homepage, and completed citation: not provided by the source card.

Converted File

TsFile: data/seonixx_so100_test_v3.tsfile (844,063 bytes)
Table: seonixx_so100_test_v3
Rows: 59,693; episodes/devices: 100; tasks: 1
Time precision: milliseconds
Source Parquet files: 2,667,794 bytes; TsFile/source ratio: 0.316
meta/ is preserved, with meta/info.json updated for the TsFile artifact.

Schema and Mapping

Time = round(timestamp * 1000) milliseconds. Time restarts at zero in every episode. The source timestamp is dropped afterward because, at the selected millisecond precision, it is represented by Time / 1000 seconds.

TsFile column	Role	Type	Source mapping
`Time`	TIME	TIMESTAMP	`round(timestamp * 1000)` ms
`episode_index`	TAG	STRING	Original INT64 episode index
`task_index`	TAG	STRING	Original INT64 task index
`frame_index`	FIELD	INT64	Preserved
`sample_index`	FIELD	INT64	Renamed from `index`
`action_0` ... `action_5`	FIELD	FLOAT	Flattened from `action[6]`
`observation_state_0` ... `observation_state_5`	FIELD	FLOAT	Flattened from `observation.state[6]`

The six vector dimensions are main_shoulder_pan, main_shoulder_lift, main_elbow_flex, main_wrist_flex, main_wrist_roll, and main_gripper. Dots in source names are replaced by underscores. No numeric row, episode, task, state dimension, or action dimension is dropped.

Encodings and Compression

FLOAT/DOUBLE: GORILLA + LZ4
INT32/INT64: TS_2DIFF + LZ4
Time: TS_2DIFF + LZ4
BOOLEAN: RLE + LZ4 (the source has no BOOLEAN field)
TAG: TsFile table/device TAG storage

The on-disk schema, physical FIELD codecs, Time codec, TAG roles, and all 59,693 rows were read back with the Apache TsFile Java API.

Videos

Videos are not included in this TsFile repository. The original dataset has 200 frame-aligned AV1 MP4 files totaling 475,092,161 bytes (about 453.1 MiB), 640x480 at 30 fps with no audio, in two streams:

Each stream uses videos/chunk-000/{video_key}/episode_{episode_index:06d}.mp4. episode_index, frame_index, and meta/episodes.jsonl preserve alignment.

Validation

The source Parquet values and transformed scalar fields were compared exactly. Source, staged Parquet, and complete Java TsFile readback all contain 59,693 rows. TAG values, 100 episode indexes, one task, vector widths, source-derived Time, per-episode monotonicity, physical codecs, file size, and SHA-256 were checked locally. Conversion scripts and validation reports are intentionally not included in this upload-ready directory.

Usage

from tsfile import TsFileReader

reader = TsFileReader("data/seonixx_so100_test_v3.tsfile")
with reader.query_table(
    "seonixx_so100_test_v3",
    ["episode_index", "task_index", "frame_index", "sample_index",
     "action_0", "observation_state_0"],
    batch_size=65536,
) as result:
    print(result.read_arrow_batch().to_pandas().head())
reader.close()

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Total file size:

1.08 MB