Datasets:

zjt24
/

sweep2e_dualarm_v4

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 66, 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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sweep2e_dualarm_v4

This dataset is a TsFile conversion of Anlorla/sweep2E_dualarm_v4, a LeRobot-style Zeno dual-arm robot dataset.

Source Dataset

Original dataset: Anlorla/sweep2E_dualarm_v4
Original license: not specified in the downloaded dataset metadata
Robot type: zeno
Modalities: Time-series
Source sampling rate: 10 fps
Source scale: 201 episodes, 5,638 frames, 201 task records
Source split: train episodes 0:201
Source video streams: observation.images.main, observation.images.secondary_0, and observation.images.secondary_1

The source task metadata contains coordinate-conditioned prompts such as:

task_index=0: <Clear> <Box> <112, 741, 353, 951>
task_index=1: <Clear> <Box> <116, 839, 317, 969>
task_index=2: <Clear> <Box> <143, 415, 308, 625>

TsFile Conversion

The converted dataset stores the numeric robot time-series data in one TsFile:

data/sweep2e_dualarm_v4.tsfile

Conversion summary:

Rows: 5,638
Episodes: 201
Time precision: milliseconds
Table name: sweep2e_dualarm_v4
TAG columns: episode_index, task_index
Time mapping: Time = round(timestamp * 1000)
Dropped source column: timestamp, because it is represented by Time / 1000
Renamed source column: index to sample_index
Omitted source video features: observation.images.main, observation.images.secondary_0, observation.images.secondary_1

The meta/ directory is mirrored from the source dataset, with meta/info.json updated to describe the converted TsFile artifact and the video policy. Videos are not included in this converted repository; use the original dataset if frame-aligned videos are needed:

https://huggingface.co/datasets/Anlorla/sweep2E_dualarm_v4/tree/main/videos

Schema

Time is the TsFile time column in milliseconds. episode_index and task_index are TAG columns. Remaining columns are FIELD measurements:

frame_index
sample_index
action_0 through action_13
observation_state_0 through observation_state_15

The 14 action dimensions follow the source order:

left_joint_0 through left_joint_6
right_joint_0 through right_joint_6

The 16 observation-state dimensions follow the source order:

left_joint_0 through left_joint_7
right_joint_0 through right_joint_7

Vector columns preserve the full source column name when flattened: . is replaced with _ and the element index is appended. For example, observation.state becomes observation_state_0..observation_state_15, and action becomes action_0..action_13.

Usage

Read the TsFile with Apache TsFile tools or SDKs. Example path:

data/sweep2e_dualarm_v4.tsfile

To inspect a single episode in SQL-style tools, filter by the TAG:

SELECT *
FROM sweep2e_dualarm_v4
WHERE episode_index = 0;

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Total file size:

1.73 MB