Datasets:

azithromycin
/

targabor_so100_single_ducktape

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 Single Duck Tape TsFile

Apache TsFile conversion of targabor/so100_single_ducktape (https://huggingface.co/datasets/targabor/so100_single_ducktape).

Source Dataset

Author/uploader: Gabor Tar (targabor), https://huggingface.co/targabor
Source revision: 8a7160ce94a051a1243d7f9acfc6b89e147ef63b; all source commits are attributed to targabor.
License: Apache-2.0; robot: so100_follower; LeRobot: v2.1; split: train
Task: Pick up the duck tape and put it into the box.
Scale: 50 episodes, 22,493 frames, 1 task, 30 fps, 50 Parquet shards
Data: data/chunk-000/episode_{episode_index:06d}.parquet

No paper or completed citation is supplied by the source card.

Converted Files

TsFile: data/targabor_so100_single_ducktape_train.tsfile (633,486 bytes)
Table: targabor_so100_single_ducktape_train; rows: 22,493; devices/episodes: 50; tasks: 1
Time precision: milliseconds; Time = round(timestamp * 1000), restarted per episode

Schema

TAG: episode_index, task_index (native TsFile table-model device/tag mechanism). FIELD: frame_index INT64; sample_index INT64 (renamed from index); action_0..5 FLOAT; observation_state_0..5 FLOAT. action[6] and observation.state[6] are flattened; dots become underscores. timestamp is dropped as redundant with Time / 1000.

Encoding

FLOAT/DOUBLE use GORILLA + LZ4. INT32/INT64 and Time use TS_2DIFF + LZ4. BOOLEAN uses RLE + LZ4 (no BOOLEAN source field). Rows are sorted by TAG then Time and no numeric rows or vector dimensions are dropped. TsFile/source Parquet size ratio: 0.479899.

Videos and Attribution

Videos are not included here. The original repository has 100 AV1 MP4 files (547,689,653 bytes), two 30 fps 640x480 streams, under:

episode_index and frame_index preserve frame alignment; source meta/episodes.jsonl is retained.

Usage

from tsfile import TsFileReader
reader = TsFileReader("data/targabor_so100_single_ducktape_train.tsfile")
with reader.query_table("targabor_so100_single_ducktape_train", ["episode_index", "task_index", "action_0"], batch_size=65536) as result:
    print(result.read_arrow_batch().to_pandas().head())

Validation JSON/Markdown reports and the conversion script remain local and are not part of the upload set.

Downloads last month: 8

Total file size:

760 kB