Datasets:

zjt24
/

nvidia_workspace

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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NVIDIA WORKSPACE (TsFile)

Apache TsFile version of tremmelnicholas/NVIDIA_WORKSPACE.

Overview

This LeRobot v3.0 dataset records an SO-101 follower robot performing the task "Pick up the vial and place it in the rack."

Scale: 27 episodes, 19,913 frames, one task, and one train split.
Sampling rate: 30 Hz.
Modalities: Time-series. The source dataset also provides video.
Source cameras: ego and external Intel RealSense D455 streams at 640 x 480, encoded as AV1 video at 30 fps.
Artifact: one TsFile, data/nvidia_workspace_train.tsfile.

TsFile schema

Time (INT64, milliseconds): round(timestamp * 1000), restarting for each episode.
episode_index, task_index (TAG): episode and task dimensions. Use the TAG columns to select one trajectory, for example episode_index=0.
frame_index, sample_index (FIELD, INT64): the frame position within an episode and the renamed global source index.
observation_state_0..observation_state_5 (FIELD, FLOAT): shoulder pan, shoulder lift, elbow flex, wrist flex, wrist roll, and gripper positions.
action_0..action_5 (FIELD, FLOAT): commands for the same six robot axes.

The source observation.state[6] and action[6] vectors are flattened without discarding elements. The source timestamp field is represented by Time and is not duplicated as a FIELD. Source index is renamed to sample_index.

The two video features, observation.images.ego and observation.images.external_D455, are not uploaded here. Their MP4 files remain available in the original videos directory. The mirrored meta/info.json records the flattened columns, time mapping, omitted video features, and row count.

Usage

from tsfile import TsFileReader

reader = TsFileReader("data/nvidia_workspace_train.tsfile")
schemas = reader.get_all_table_schemas()
print(schemas)
reader.close()

All episodes share the nvidia_workspace_train table. Query by episode_index and task_index to isolate a trajectory.

Source and license

Original dataset: https://huggingface.co/datasets/tremmelnicholas/NVIDIA_WORKSPACE
Author / publisher: tremmelnicholas
Framework: LeRobot v3.0
Robot type: so101_follower
Paper or homepage: not declared by the source dataset
License: Apache License 2.0

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Total file size:

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