Datasets:

azithromycin
/

kyomangold_so100_ttt_B2_v2

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 Tic-Tac-Toe B2 v2 TsFile

This dataset is an Apache TsFile conversion of kyomangold/so100_ttt_B2_v2, 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: kyomangold/so100_ttt_B2_v2
Pinned revision: b7392de707c8daa3a114b6a1ea916a63e25a1adf
Original author/uploader: Kyo Mangold (kyomangold)
Author homepage: unumlabs.ai
Authorship evidence: the repository lists one contributor (kyomangold) across three commits; the source card does not provide a separate author list, paper, or completed citation.
License: Apache-2.0
Task: “Pick up the round, orange token and place it in the grid on square B2.”
Robot: so100; LeRobot version: v2.1
Split: train; sampling rate: 30 fps
Scale: 30 episodes, 15,239 frames, 1 task
Source shards: 30 Parquet files under data/chunk-000/episode_{episode_index:06d}.parquet

Converted File

TsFile: data/kyomangold_so100_ttt_B2_v2.tsfile (258,226 bytes)
Table: kyomangold_so100_ttt_b2_v2
Rows: 15,239; episodes/devices: 30; tasks: 1
Time precision: milliseconds
TsFile/source-Parquet size ratio: 0.354
meta/ is preserved, with meta/info.json updated for the TsFile artifact.

Schema

Time = round(timestamp * 1000) milliseconds. Time restarts at zero in every episode and source timestamp is then dropped because it equals Time / 1000.

TAG columns (TsFile device/tag mechanism):

episode_index
task_index

Scalar FIELD columns:

frame_index
sample_index (renamed from source index)

Flattened FLOAT FIELD groups:

action[6] -> action_0 ... action_5
observation.state[6] -> observation_state_0 ... observation_state_5

The six dimensions are main_shoulder_pan, main_shoulder_lift, main_elbow_flex, main_wrist_flex, main_wrist_roll, and main_gripper. Dots in source vector names are replaced by underscores. No numeric row, episode, task, or vector 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 table schema, Time codec, every physical FIELD codec, and all 15,239 rows were read back with the Apache TsFile Java API.

Videos

Videos are not included in this TsFile repository. The original dataset has 60 frame-aligned AV1 MP4 files (504,000,215 bytes, about 480.7 MiB), 640x480, 30 fps, 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

Source, staged Parquet, and complete Java TsFile readback all contain 15,239 rows. TAG values, 30 episode indexes, one task, vector widths, zero-based monotonic Time per episode, physical codecs, non-zero 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/kyomangold_so100_ttt_B2_v2.tsfile")
with reader.query_table(
    "kyomangold_so100_ttt_b2_v2",
    ["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()

Downloads last month: 28

Total file size:

339 kB