Datasets:

azithromycin
/

Cidoyi_so100_all_notes_1

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 All Notes 1 TsFile

Apache TsFile conversion of Cidoyi/so100_all_notes_1, a LeRobot v2.1 SO100 robot dataset for the task "Play every note".

Source and provenance

Original dataset: https://huggingface.co/datasets/Cidoyi/so100_all_notes_1
Inspected revision: 0bd71230f4c271bbaee3a71398576e207deec474
Original author/uploader: Yoan Di Cosmo (Cidoyi)
License: Apache-2.0; split: train (0:40); sampling rate: 30 fps
Scale: 40 episodes, 11,513 frame rows, 1 task, 40 Parquet shards
Source frame layout: data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet

The source card does not provide a paper or BibTeX citation. Its embedded JSON still says 11,553 frames, but the current Parquet files, meta/info.json, meta/episodes.jsonl, and Hugging Face viewer consistently contain 11,513 frames. This conversion uses the verified 11,513-row snapshot.

Converted files

TsFile: data/cidoyi_so100_all_notes_1.tsfile (168,602 bytes)
Table: cidoyi_so100_all_notes_1
Rows: 11,513; episodes/devices: 40
Time precision: milliseconds
meta/ contains the source JSON/JSONL metadata with meta/info.json updated for the TsFile artifact. No Parquet file is stored under meta/.

TsFile schema and conversion

Time = round(timestamp * 1000) as INT64 milliseconds and restarts at zero for every episode. The source timestamp is dropped because it is recoverable as Time / 1000 seconds. The source index is renamed to sample_index; frame_index is retained.

TAG/device columns:

episode_index
task_index

FIELD columns:

frame_index, sample_index as INT64
action[6] flattened to action_0 through action_5 as FLOAT
observation.state[6] flattened to observation_state_0 through observation_state_5 as FLOAT

The six action/state dimensions follow the source names: main_shoulder_pan, main_shoulder_lift, main_elbow_flex, main_wrist_flex, main_wrist_roll, and main_gripper. No numeric rows or action/state dimensions are dropped.

Storage profile: Time TS_2DIFF + LZ4; FLOAT/DOUBLE GORILLA + LZ4; INT32/INT64 TS_2DIFF + LZ4; BOOLEAN RLE + LZ4 (there are no BOOLEAN source fields). TAG values use the TsFile table-model device/tag mechanism.

Videos (not included)

The original repository contains 40 H.264 MP4 files (42,522,514 bytes) for observation.images.keyboard_camera under videos/chunk-000/observation.images.keyboard_camera/. Videos are not copied to this TsFile dataset. Rows remain aligned to the original videos through episode_index and frame_index.

Validation

Local validation: PASS. Source/staged/TsFile metadata rows are 11,513 / 11,513 / 11,513; TAGs, fields, time uniqueness, per-episode monotonicity, time reset, query readback, and physical field codecs were checked. The TsFile/source-Parquet size ratio is 28.87%.

Minimal read example

from tsfile import TsFileReader

reader = TsFileReader("data/cidoyi_so100_all_notes_1.tsfile")
with reader.query_table(
    "cidoyi_so100_all_notes_1",
    ["episode_index", "task_index", "Time", "frame_index", "action_0"],
    batch_size=4096,
) as result:
    print(result.read_arrow_batch().to_pandas().head())
reader.close()

Please cite the original Hugging Face dataset and Yoan Di Cosmo (Cidoyi).

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Total file size:

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