Datasets:

jzpeng
/

BobBobbson_so100_First_Gripper_Test

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.

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

SO100 First Gripper Test TsFile

This is a TsFile edition of BobBobbson/so100_First_Gripper_Test, a LeRobot v2.1 SO100 robot dataset containing numeric trajectories, timing, and episode/task tags. Camera videos remain in the original Hugging Face repository.

Source and Attribution

Original dataset: BobBobbson/so100_First_Gripper_Test
Creator, repository owner, uploader, and commit author: BobBobbson
License: Apache-2.0
Task: "Pick up cube and place in grey container, use gripper visualisation feed."
Robot: so100; LeRobot version: v2.1
Split and frequency: train, 30 fps
Scale: 30 episodes, 28,889 frames, 1 task, 30 Parquet shards
Source layout: data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet
The source card provides no paper, homepage, or completed citation.

TsFile Data

Path: data/bobbobbson_so100_first_gripper_test.tsfile
Table: bobbobbson_so100_first_gripper_test
Rows: 28,889; episodes/devices: 30; tasks: 1
Time precision: milliseconds

Schema and Mapping

Time = round(timestamp * 1000) milliseconds. Time starts at zero and is strictly increasing in every episode. The source timestamp is omitted because it is recoverable as Time / 1000 seconds.

TsFile column	Role	Type	Source mapping
`Time`	TIME	TIMESTAMP	`round(timestamp * 1000)` ms
`episode_index`	TAG	STRING	Original INT64 episode index
`task_index`	TAG	STRING	Original INT64 task index
`frame_index`	FIELD	INT64	Preserved
`sample_index`	FIELD	INT64	Renamed from `index`
`action_0` ... `action_5`	FIELD	FLOAT	Flattened from `action[6]`
`observation_state_0` ... `observation_state_5`	FIELD	FLOAT	Flattened from `observation.state[6]`

The vector order is main_shoulder_pan, main_shoulder_lift, main_elbow_flex, main_wrist_flex, main_wrist_roll, and main_gripper. No numeric row, episode, task, action dimension, or state dimension is dropped.

Videos

Videos are not included here. The 90 original AV1 MP4 files are 640x360 at 30 fps with no audio, with 30 episode files in each stream:

The source layout is videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4. Use episode_index and frame_index to align numeric rows with video frames.

Minimal Read Example

from tsfile import TsFileReader

reader = TsFileReader("data/bobbobbson_so100_first_gripper_test.tsfile")
with reader.query_table(
    "bobbobbson_so100_first_gripper_test",
    ["episode_index", "task_index", "frame_index", "sample_index",
     "action_0", "observation_state_0"],
    batch_size=65536,
) as result:
    batch = result.read_arrow_batch()
    print(batch.to_pandas().head())
reader.close()

Citation

The source card supplies no paper or completed citation. Cite the original Hugging Face dataset and BobBobbson when using this edition.

Downloads last month: 40

Total file size:

395 kB