Datasets:

VGalaxies666
/

eval2_compositional_augmented

Tags:

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 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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eval2_compositional_augmented

This dataset was converted from robot-learning-group47/eval2_compositional_augmented to Apache TsFile format.

Modalities: Time-series.

Source Dataset

Original dataset: robot-learning-group47/eval2_compositional_augmented
Source format: LeRobot v3 parquet frames with metadata and one front-camera video stream
Robot type: so_follower
Split: train
Episodes: 720
Frames / TsFile rows: 161,780
Tasks: 22
Sampling rate: 15 fps

The source contains compositional prompt augmentations for banana-and-bowl manipulation tasks. The file combo_augmented_map.csv is included with this conversion and maps prompt-combination groups to source and augmented episode ranges.

Files

data/eval2_compositional_augmented.tsfile: converted numeric time-series table
meta/: source metadata mirrored from the original dataset, with meta/info.json rewritten to describe the converted TsFile layout
combo_augmented_map.csv: source augmentation map

Videos are not included in this repository. The original camera video stream observation.images.front remains in the source dataset under videos/.

Schema

The TsFile table name is eval2_compositional_augmented.

Time: integer timestamp in milliseconds, synthesized as round(timestamp * 1000)
TAG columns: episode_index, task_index
FIELD columns: frame_index, sample_index, action_0..action_5, observation_state_0..observation_state_5

The six action and observation-state dimensions use the original LeRobot joint order: shoulder_pan.pos, shoulder_lift.pos, elbow_flex.pos, wrist_flex.pos, wrist_roll.pos, and gripper.pos.

Conversion Notes

Converted with the generic lerobot converter in the HuggingFace-to-TsFile pipeline.
All 720 episodes are stored in one TsFile. Use episode_index and task_index as device TAG filters when querying.
Source action[6] was flattened to action_0..action_5 as FLOAT fields.
Source observation.state[6] was flattened to observation_state_0..5 as FLOAT fields.
Source index was renamed to sample_index.
Source timestamp is not retained as a separate field because the same information is represented by Time / 1000 seconds.
Source video field observation.images.front is omitted from this TsFile conversion and remains available in the original dataset.
No rows were dropped.

Minimal Read Example

from tsfile import TsFileReader

reader = TsFileReader("data/eval2_compositional_augmented.tsfile")
schemas = reader.get_all_table_schemas()
print(schemas.keys())

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Total file size:

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