Datasets:

azithromycin
/

Biamterdex_record-lexxpluss_pickNdrop_bottle-02

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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Record LexxPluss PickNDrop Bottle 02 TsFile

Apache TsFile conversion of Biamterdex/record-lexxpluss_pickNdrop_bottle-02, a LeRobot v2.1 so101_follower robot dataset.

Source and provenance

Original dataset: https://huggingface.co/datasets/Biamterdex/record-lexxpluss_pickNdrop_bottle-02
Inspected revision: 3b90eceab9b474337399e1310d149f17118c28f5
Original author/uploader: Karim Ziadi (Biamterdex)
License: Apache-2.0; task: Pick and Drop dressing bottle; split: train (0:52)
Sampling rate: 30 fps; 52 episodes; 34,896 frame rows; 1 task; 52 Parquet shards
Source frame layout: data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet

The source card provides no paper or BibTeX citation.

Converted files

TsFile: data/biamterdex_record_lexxpluss_pickndrop_bottle_02.tsfile (583,676 bytes; 0.56 MiB)
Table: biamterdex_record_lexxpluss_pickndrop_bottle_02; rows: 34,896; episodes/devices: 52
Time precision: milliseconds; meta/ is mirrored from the source.

TsFile schema and conversion

Time = round(timestamp * 1000) as INT64 milliseconds, restarting at zero per episode. The source timestamp is dropped as redundant (Time / 1000 seconds). index is renamed to sample_index; frame_index is retained.

TAG/device columns: episode_index, task_index.

FIELD columns: action[6] -> action_0 ... action_5; observation.state[6] -> observation_state_0 ... observation_state_5 (all FLOAT), plus frame_index and sample_index (INT64). No rows or numeric state/action dimensions are dropped.

Storage profile: Time TS_2DIFF + LZ4; FLOAT/DOUBLE GORILLA + LZ4; INT32/INT64 TS_2DIFF + LZ4; BOOLEAN RLE + LZ4 (no BOOLEAN source columns); TAGs use TsFile table-model device/tag storage.

Videos (not included)

The source contains 156 MP4 files (52 per stream, about 955,558,019 bytes) under videos/: videos/chunk-000/{observation.images.front,observation.images.top,observation.images.wrist}/episode_XXXXXX.mp4. Videos are not copied to or uploaded with this TsFile repository. Numeric rows remain frame-aligned via episode_index and frame_index.

Validation

Local validation: PASS. Source/staged/TsFile metadata rows: 34,896 / 34,896 / 34,896; query sample: 704 rows; TsFile/source Parquet ratio: 37.35%.

Minimal read example

from tsfile import TsFileReader
reader = TsFileReader("data/biamterdex_record_lexxpluss_pickndrop_bottle_02.tsfile")
with reader.query_table("biamterdex_record_lexxpluss_pickndrop_bottle_02", ["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 Karim Ziadi (Biamterdex).

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Total file size:

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