Datasets:

jzpeng
/

alexis779_so100_ball_cup

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 Ball Cup TsFile

This dataset is an Apache TsFile conversion of alexis779/so100_ball_cup, a LeRobot v2.1 SO100 robot-manipulation dataset.

Modalities: Time-series. The converted repository contains numeric robot observations, actions, frame timing, episode/task tags, and mirrored source metadata. Camera videos remain in the original Hugging Face dataset.

Source Dataset and Author

Source dataset: alexis779/so100_ball_cup
Pinned source revision: b4304c2fa3aeca00a19421453f7ca6208c2cb0bd
Repository owner and uploader: Alexis D. (alexis779)
Authorship evidence: all commits in the source repository history are attributed to alexis779; the source card provides no separate formal author list.
License: Apache-2.0
Robot type: so100
LeRobot codebase version: v2.1
Task: Pick and place a golf ball in a cup.
Split: train
Scale: 52 episodes, 38,896 frames, 1 task, 25 fps
Episode length: 748 frames (29.88 seconds) for every episode
Source frame files: 52 Parquet files under data/chunk-000/
Source frame layout: data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet
Source video layout: videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4
Paper/citation: not supplied by the source dataset card

The source README contains an outdated two-episode info.json excerpt. The repository's actual meta/info.json and Parquet files contain 52 episodes and 38,896 frames; this conversion uses and validates the actual files.

Converted Files

TsFile: data/so100_ball_cup_train.tsfile
Table: so100_ball_cup_train
Rows: 38,896
Episodes/devices: 52
Tasks: 1
Time precision: milliseconds
Metadata: meta/ is mirrored from the source, with meta/info.json rewritten to describe the TsFile artifact and video policy.

TsFile Schema

Time is synthesized as round(timestamp * 1000) milliseconds and restarts from 0 for each episode.

TAG columns:

episode_index
task_index

Scalar FIELD columns:

frame_index
sample_index, renamed from source column index

Flattened FLOAT FIELD groups:

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

The six dimensions are, in source order: main_shoulder_pan, main_shoulder_lift, main_elbow_flex, main_wrist_flex, main_wrist_roll, and main_gripper.

Conversion Notes

The shared config-driven lerobot converter was used for this conversion.
The train split is merged into one table-model TsFile. Filter by episode_index and task_index to select an episode or task.
Vector columns are flattened to scalar TsFile fields. Full source prefixes are preserved, with . replaced by _.
The source timestamp column is dropped after Time synthesis because it is redundant with Time / 1000 seconds.
Source index is renamed to sample_index; frame_index is retained.
All 52 source Parquet schemas are identical, all vector widths are exactly 6, and no numeric row, episode, task, state dimension, or action dimension is dropped.

Videos

Videos are not duplicated in this converted repository. The source revision contains 52 frame-aligned MP4 files (729,020,477 bytes total, about 695.25 MiB) for the single camera stream observation.images.phone:

videos/chunk-000/observation.images.phone/

There is one episode_XXXXXX.mp4 file per episode. Numeric rows remain aligned to the source videos through episode_index, frame_index, and the source episode metadata. The source metadata describes 640x480 AV1 video at 25 fps, without audio.

Validation

The generated TsFile is opened and fully queried with the Apache TsFile 2.2.1 Java SDK, then checked against the staged Parquet. The Java readback, staged row count, and source row count all equal 38,896. The file contains one table, 52 episode/task devices, 2 TAG columns, and 14 FIELD columns.

Usage

from tsfile import TsFileReader

path = "data/so100_ball_cup_train.tsfile"
reader = TsFileReader(path)
table_name = "so100_ball_cup_train"
columns = [
    "episode_index",
    "task_index",
    "frame_index",
    "sample_index",
    "action_0",
    "observation_state_0",
]

with reader.query_table(table_name, columns, batch_size=65536) as result:
    batch = result.read_arrow_batch()
    print(batch.to_pandas().head())

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Total file size:

2.75 MB