Datasets:

VGalaxies666
/

libero_plus_lerobot_v30

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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LIBERO+ (LeRobot v3.0, TsFile)

Apache TsFile version of whosricky/libero_plus_lerobot_v30.

Overview

A large robot-manipulation dataset of LIBERO benchmark tasks recorded with LeRobot (codebase v3.0) on a Franka Emika panda arm. Each episode is a demonstration of one of 40 language-conditioned tabletop manipulation tasks (picking, placing, opening drawers, operating a stove, etc.).

Robot: panda (8-DoF observed state, 7-DoF action).
Episodes: 14,347 (single train split).
Frames: 2,238,036 total.
Sampling rate: 20 fps (one frame every 50 ms).
Tasks: 40 LIBERO manipulation instructions (e.g. "put the cream cheese in the bowl", "open the middle drawer of the cabinet", "pick up the milk and place it in the basket"). See meta/tasks.parquet for the full list.

Schema (TsFile structure)

All 14,347 episodes are stored together using episode_index and task_index as TAG columns (the TsFile device dimension). Query a single episode with WHERE episode_index=N, or all episodes of a task with WHERE task_index=K.

Time (INT64, milliseconds) — round(timestamp * 1000), restarts at 0 per episode (50 ms steps at 20 fps).
episode_index (TAG) — source episode id (0–14346).
task_index (TAG) — source task id (0–39).
frame_index (INT64) — frame position within the episode.
sample_index (INT64) — the source global index column, renamed.
observation_state_0 .. observation_state_7 (FIELD, FLOAT) — the 8-D observed robot state (observation.state).
action_0 .. action_6 (FIELD, FLOAT) — the 7-D commanded action.

The source observation.state[8] and action[7] vector columns are flattened to single-precision FLOAT scalars (. → _, element index appended). The source timestamp column is dropped because it equals Time / 1000 seconds.

Because of its size, the converted table is split across multiple data/libero_plus_lerobot_v30_*.tsfile files; together they form one logical table with the schema above.

Usage

Read the .tsfile files with the Apache TsFile Java or Python SDK.

Notes

Camera video streams (observation.images.front, observation.images.wrist) are not included in this repository. They remain in the original dataset under its videos/ directory: https://huggingface.co/datasets/whosricky/libero_plus_lerobot_v30/tree/main/videos.

Source & license

Original dataset: https://huggingface.co/datasets/whosricky/libero_plus_lerobot_v30
Author / publisher: whosricky
Paper: not declared by the original dataset.
License: Apache-2.0 (as declared by the original dataset).

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