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jzpeng
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libero_all

Tasks:

Robotics

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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 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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LIBERO All (TsFile)

Apache TsFile version of x-square-robot/libero_all. Modalities: Time-series.

Overview

This LeRobot dataset collects LIBERO manipulation demonstrations for 40 language-defined tasks. The source tasks cover picking and placing objects, arranging bowls and mugs, operating drawers and a stove, and related tabletop interactions.

Dataset Scale

1,693 episodes, 271,772 frames, 40 tasks, sampled at 15 fps.
The train split contains 271,772 TsFile rows in data/libero_all_train.tsfile.

Conversion details

Time is round(timestamp * 1000) in milliseconds. The source timestamp column is therefore not stored as a separate FIELD; frame_index is retained and source index is named sample_index. The 3,386 camera videos reported by the source metadata are not included in this time-series repository and remain in the original dataset.

Schema (TsFile structure)

Time (INT64, milliseconds) is the per-episode sample time.
episode_index and task_index are TAG columns identifying the device series.
frame_index and sample_index are INT64 FIELD columns.
action_0 through _6 and observation_state_0 through _6 are FLOAT FIELD columns.

For example, select one device with WHERE episode_index='0' AND task_index='0'.

Usage

Read data/libero_all_train.tsfile with the Apache TsFile Java or Python SDK.

Source & license

Original dataset: https://huggingface.co/datasets/x-square-robot/libero_all
Author / publisher: x-square-robot
License: not declared by the original dataset; please defer to the original.

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18.2 MB