Datasets:

THULab
/

LSY-lab_libero_plus_10_language_all_failures

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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libero_plus_10_language_all_failures (TsFile)

Apache TsFile version of LSY-lab/libero_plus_10_language_all_failures, a LIBERO-Plus robot manipulation dataset with language-conditioned tasks, created with LeRobot.

Modalities: Time-series. The original dataset also contains robot camera videos; those videos are not included in this converted repository and remain available from the original Hugging Face dataset.

Overview

A LeRobot v3.0 Franka (panda) dataset recording multi-camera demonstrations for LIBERO language-conditioned object-manipulation tasks. Each row is one frame of a robot episode, with the robot's end-effector, joint, gripper state and the commanded action recorded as fixed-size vectors.

Scale: 290 episodes, 84,612 frames, 242 tasks, 1 data chunk.
Sampling rate: 20 fps.
Robot: franka (panda).
Split: train (0:290).

Schema (TsFile structure)

Time (INT64, milliseconds) — round(timestamp * 1000), restarting for each episode.
episode_index, task_index (TAG, INT64) — episode and task device dimensions; query one episode with WHERE episode_index=0.
frame_index, sample_index (FIELD, INT64) — frame position and source row index (source index renamed to sample_index).
observation_state_0..7 (FIELD, FLOAT) — flattened observation.state.
observation_states_ee_state_0..5 (FIELD, FLOAT) — flattened observation.states.ee_state (end-effector pose).
observation_states_joint_state_0..6 (FIELD, FLOAT) — flattened observation.states.joint_state (7 joints).
observation_states_gripper_state_0..1 (FIELD, FLOAT) — flattened observation.states.gripper_state.
action_0..6 (FIELD, FLOAT) — flattened action (7 commanded motors).

The source timestamp column is represented by Time and not retained as a separate field. Vector columns are flattened to scalar FLOAT fields with their full source-column prefix and an element index. The camera video streams are not included; they remain available in the original videos directory.

Usage

Read data/libero_plus_10_language_all_failures.tsfile with the Apache TsFile Java or Python SDK. All episodes share one table; use the TAG columns to select an episode or task.

Source & license

Original dataset: https://huggingface.co/datasets/LSY-lab/libero_plus_10_language_all_failures
Author / publisher: LSY-lab
Paper: not declared by the original dataset
License: Apache License 2.0

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