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zjt24
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dexterious_ee

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Dataset Viewer

The dataset viewer is not available for this subset.

Cannot get the split names for the config 'default' of the dataset.

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.

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.

Dexterious EE (TsFile)

This dataset is an Apache TsFile conversion of Beable/dexterious_ee. It stores the numeric LeRobot frame data as one TsFile table while preserving the source metadata. The source camera videos are not mirrored in this converted repository; they remain in the original dataset under videos/.

Source Dataset

Original dataset: Beable/dexterious_ee
Source commit: 88f573a60a320c6b49e7435fb3fc2fc6b9256086
Author/owner: Beable
License: not declared in the source dataset card at conversion time
LeRobot codebase version: v3.0
Robot type: r1_humanoid
Task: robot_arm_control
Source split: train: 0:40
Scale: 40 episodes, 27,237 frames, 1 task
Sampling rate: 10 fps
Source video stream: observation.images.rgb, 360x640x3, H.264, 10 fps

TsFile Data

TsFile path: data/dexterious_ee.tsfile
Table name: dexterious_ee
Rows: 27,237
Metadata: meta/ is mirrored from the source, with meta/info.json updated to describe the converted TsFile schema and video policy.

Schema

Column	TsFile role	Type	Notes
`Time`	TIME	INT64	Milliseconds from `round(timestamp * 1000)`
`episode_index`	TAG	INT64	Source episode identifier
`task_index`	TAG	INT64	Source task identifier
`frame_index`	FIELD	INT64	Source frame index, retained
`sample_index`	FIELD	INT64	Source `index`, renamed to avoid ambiguity
`observation_state_0` ... `observation_state_16`	FIELD	FLOAT	Flattened source `observation.state` vector
`action_0` ... `action_16`	FIELD	FLOAT	Flattened source `action` vector

The 17-element vector order for both observation.state and action is: x, y, z, roll, pitch, yaw, thumb_joint_roll_r, index_proximal_joint_r, middle_proximal_joint_r, ring_proximal_joint_r, little_proximal_joint_r, thumb_proximal_joint_r, index_proximal_joint_r_1, middle_proximal_joint_r_1, ring_proximal_joint_r_1, little_proximal_joint_r_1, thumb_proximal_joint_r_1.

Conversion Notes

Time is synthesized from source timestamp in integer milliseconds.
Source timestamp is dropped as a separate field because it is redundant with Time / 1000 seconds.
Source index is renamed to sample_index.
Vector columns are flattened by preserving the full source name, replacing . with _, and appending the element index.
Source video feature observation.images.rgb and files under videos/ are omitted from this converted repository. Use the original dataset for video playback and frame alignment.
No numeric rows were intentionally dropped during conversion.

Validation

pipeline.py validate passed for data/dexterious_ee.tsfile.
TsFile metadata row count: 27,237.
TsFile query readback rows: 27,237.
Staged Parquet rows: 27,237.

Minimal Read Example

from tsfile import TsFileReader

path = "data/dexterious_ee.tsfile"
table = "dexterious_ee"
fields = ["frame_index", "sample_index", "action_0", "observation_state_0"]

with TsFileReader(path) as reader:
    with reader.query_table(table, fields) as result:
        for row in result:
            print(row)
            break

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