Datasets:

jzpeng
/

Arena-GR1-Manipulation-PlaceItemCloseDoor-Task

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.

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.

NVIDIA Arena GR1 Place Item and Close Door (TsFile)

Apache TsFile version of nvidia/Arena-GR1-Manipulation-PlaceItemCloseDoor-Task.

Overview

This dataset contains Isaac Lab trajectories for a GR1 humanoid manipulation task: place a ranch dressing bottle on the top shelf of a fridge, then close the fridge door. The converted data is the GR00T-LeRobot export of the 100 MimicGen-generated demonstrations described by the source dataset.

Episodes: 100
Frames: 32,735
Sampling rate: 50 fps
Split: train, episodes 0 through 99
Task: Place the ranch dressing bottle on the top shelf of the fridge, and close the fridge door.

The source repository also contains recorded, annotated, and generated HDF5 artifacts. Those HDF5 files and the RGB videos are not part of this numeric TsFile conversion. They remain available from the original dataset.

Schema (TsFile structure)

Time (INT64, milliseconds) is round(timestamp * 1000). The redundant source timestamp field is not stored separately.
episode_index and task_index are TAG columns. For example, select one trajectory with WHERE episode_index=0.
observation_state_0..25 (FLOAT) contains the 26 GR1 joint-state values.
action_0..25 (FLOAT) contains the 26 commanded joint positions.
annotation_human_action_task_description, frame_index, and sample_index (INT64) retain task/frame/sample identifiers; sample_index is the renamed source index field.
next_reward and observation_img_state_delta (DOUBLE), plus next_done (INT64), retain the remaining scalar trajectory fields.

Usage

Read data/arena_gr1_manipulation_place_item_close_door_task_train.tsfile with the Apache TsFile Java or Python SDK.

Camera videos are not uploaded here. See the original dataset's LeRobot videos.

Source & license

Original dataset: https://huggingface.co/datasets/nvidia/Arena-GR1-Manipulation-PlaceItemCloseDoor-Task
Author / publisher: NVIDIA Corporation
Reference: MimicGen: A Data Generation System for Scalable Robot Learning, CoRL 2023
License: Creative Commons Attribution 4.0 International (CC BY 4.0)

Downloads last month: 43

Total file size:

6.64 MB