Datasets:

azithromycin
/

apayan_so100_ball8

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 Ball8 TsFile

Apache TsFile conversion of apayan/so100_ball8, a LeRobot v2.1 SO100 dataset for "Grasp object and put it in the box." Numeric observations, actions, timing, and episode/task metadata are included; camera videos remain upstream.

Source facts

Author/uploader: Adrien Payan
License: Apache-2.0; pinned revision: f318cc9490b327bd1382e29c528f7d7348aa4716
Robot: so100; split: train; sampling rate: 30 fps; task index 0
104 episodes, 110,416 frames, 1 task, 104 source Parquet shards
Source layout: data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet
Current metadata is authoritative; source README embeds a stale 5-episode/5,992-frame example.

Converted artifact

TsFile: data/apayan_so100_ball8.tsfile; table: apayan_so100_ball8
Rows: 110,416; TAG devices: 104; size: 1.14 MiB (source Parquet: 4.58 MiB)
meta/ is mirrored; meta/info.json documents the TsFile mapping and video policy.

Schema and conversion

Time = round(timestamp * 1000) integer milliseconds, restarting per episode. Source timestamp is dropped because it equals Time / 1000 seconds. Rows are sorted by episode_index, task_index, Time; frame_index is retained.

TAG/device columns: episode_index, task_index (source INT64, native TsFile TAG/device mechanism).

FIELD columns: frame_index, sample_index (renamed from index), action_0..action_5, and observation_state_0..observation_state_5 (FLOAT32). No numeric rows, episodes, tasks, or vector dimensions are dropped.

Encoding/compression: FLOAT/DOUBLE -> GORILLA + LZ4; INT32/INT64 -> TS_2DIFF + LZ4; Time -> TS_2DIFF + LZ4; BOOLEAN -> RLE + LZ4 (no BOOLEAN source fields).

Videos

Videos are not included here. The source has 312 MP4 files (104 episodes x three 30-fps streams):

Template: videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4. Use episode_index and frame_index to align rows with source video frames; meta/episodes.jsonl is mirrored.

Validation

All 104 Parquet schemas matched and the staged table exactly matched the independent transformation. TsFile inspection found one table, 2 TAG columns, 14 FIELD columns, and 110,416 metadata rows; query readback returned 110,416 rows. Reports remain local at D:/code/workdir/apayan_so100_ball8/validation_report.json and D:/code/workdir/apayan_so100_ball8/VALIDATION.md.

Minimal read example

from tsfile import TsFileReader
reader = TsFileReader("data/apayan_so100_ball8.tsfile")
columns = ["episode_index", "task_index", "frame_index", "sample_index", "action_0", "observation_state_0"]
with reader.query_table("apayan_so100_ball8", columns, batch_size=65536) as result:
    print(result.read_arrow_batch().to_pandas().head())
reader.close()

The source card provides no paper or completed citation; cite the original Hugging Face dataset and Adrien Payan (apayan).

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Total file size:

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