Datasets:

zjt24
/

so100_test_0412

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 68, 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 Test 0412 (TsFile)

This dataset contains the numeric time-series data from xhaka3456/so100_test_0412, converted from the LeRobot v2.0 layout to one Apache TsFile. The source was recorded with an SO-100 robot for the task Pick and Place.

Modalities: Time-series in this repository; source videos remain in the original repository
License: Apache-2.0
Source author: xhaka3456
Robot: SO-100
Sampling rate: 30 FPS
Split: train (0:50 episodes)

Dataset Scale

The source contains 50 episodes, 22,016 frames, one task, and 50 episode Parquet files. All numeric frame rows are stored in one TsFile. Two AV1 camera streams, stored as 100 MP4 files totaling 227,363,746 bytes, are not copied and remain available in the videos/ tree of the source dataset.

Artifact	Count	Details
Source episodes	50	Episode indices `0` through `49`
Source frames / TsFile rows	22,016	No numeric frame rows were removed
Source episode Parquet files	50	One file per episode
Source video files	100	Laptop and phone streams; not uploaded here
Converted TsFiles	1	`data/so100_test_0412.tsfile`
TsFile columns	17	`Time`, 2 TAG columns, and 14 FIELD columns

TsFile Schema

The TsFile table is named so100_test_0412.

Column	TsFile role	Type	Description
`Time`	TIME	INT64 timestamp (ms)	`round(timestamp * 1000)` within each episode
`episode_index`	TAG	STRING (source INT64)	Source episode index, `0` through `49`
`task_index`	TAG	STRING (source INT64)	Source task index; `0` for this dataset
`frame_index`	FIELD	INT64	Frame index within the episode
`sample_index`	FIELD	INT64	Source global sample `index`
`action_0` ... `action_5`	FIELD	FLOAT	Six-dimensional robot action vector
`observation_state_0` ... `observation_state_5`	FIELD	FLOAT	Six-dimensional robot state vector

For both six-dimensional vectors, indices 0 through 5 preserve the source feature order: main_shoulder_pan, main_shoulder_lift, main_elbow_flex, main_wrist_flex, main_wrist_roll, and main_gripper.

Conversion Notes

All 50 source episode Parquet files are merged into one TsFile. episode_index and task_index are TAG dimensions, so individual episodes remain directly queryable without creating separate files.
Source timestamp is represented by Time in milliseconds and is not duplicated as a FIELD. Source index is renamed to sample_index, while frame_index is retained.
action is flattened to action_0 through action_5, and observation.state is flattened to observation_state_0 through observation_state_5, using single-precision FLOAT fields.
Camera streams observation.images.laptop and observation.images.phone are intentionally excluded. Episode, frame, task, sample, and time values preserve alignment with the original videos.
Source metadata is mirrored under meta/. meta/info.json points to the TsFile and records the source revision, original Parquet/video paths, flattening map, renamed/dropped fields, TAG columns, and row count.

Reading the Data

from tsfile import TsFileReader

path = "data/so100_test_0412.tsfile"
table = "so100_test_0412"

reader = TsFileReader(path)
with reader.query_table(
    table,
    ["episode_index", "task_index", "frame_index", "action_0", "observation_state_0"],
    batch_size=65536,
) as result:
    batch = result.read_arrow_batch()
    if batch is not None:
        print(batch.to_pandas().head())

Source

Original dataset: xhaka3456/so100_test_0412
Source revision: 30422e08f91c4fc6208dc7e474f8453c8ab56b72
Source author: xhaka3456
Paper/homepage: not provided by the source dataset card

Downloads last month: 93

Total file size:

401 kB