Datasets:

THUgewu
/

robocasa-30-7chosen-tasks-for-Binh_lerobot_v1

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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robocasa-30-7chosen-tasks-for-Binh_lerobot_v1 TsFile

This dataset is a TsFile conversion of the Hugging Face dataset binhng/robocasa-30-7chosen-tasks-for-Binh_lerobot_v1, which was created with LeRobot.

Modalities: Time-series. The source robot dataset also contains videos, but this repository stores only the numeric time-series data and metadata. Source videos remain available in the original dataset under videos/.

Source Dataset

Original dataset: binhng/robocasa-30-7chosen-tasks-for-Binh_lerobot_v1
License: apache-2.0
Robot type: panda
Episodes: 188 train episodes
Frames: 38,127
Tasks: 12
Sampling rate: 20 fps
Source video streams: right_image, left_image, wrist_image, left_ooi_bbox_mask, right_ooi_bbox_mask, wrist_ooi_bbox_mask
Source video count: 1,128

Converted Files

The train split is stored as one TsFile:

data/robocasa_30_7chosen_tasks_for_binh_lerobot_v1.tsfile

The source meta/ files are mirrored in this repository. meta/info.json is updated so data_path points to the converted TsFile and tsfile_conversion records the source layout, feature mapping, row count, and video policy.

Schema

The TsFile table name is robocasa_30_7chosen_tasks_for_binh_lerobot_v1.

Time: integer millisecond timestamp, computed as round(timestamp * 1000).
TAG columns: episode_index, task_index.
FIELD columns: frame_index, sample_index, state_0 through state_8, and actions_0 through actions_11.

The source vector columns are flattened into scalar fields:

state with shape [9] becomes state_0 ... state_8.
actions with shape [12] becomes actions_0 ... actions_11.

All flattened vector values are stored as single-precision FLOAT fields. The episode_index and task_index source columns are declared as TAG columns, so a single episode can be selected with a predicate such as WHERE episode_index = 0.

Conversion Notes

The conversion uses the generic LeRobot converter.
All train episodes are merged into one TsFile table. Each episode remains self-identifying through the episode_index and task_index TAG columns.
Time restarts per episode, matching the source timestamp values.
The source timestamp column is not retained as a separate FIELD because it is represented by Time / 1000 seconds.
The source index column is renamed to sample_index.
Video and mask features are not uploaded here. They remain in the original Hugging Face dataset and are referenced by the preserved metadata.

Validation after conversion:

Staged Parquet rows: 38,127
TsFile metadata rows: 38,127
TsFile file count: 1

Read Example

from tsfile import TsFileReader

path = "data/robocasa_30_7chosen_tasks_for_binh_lerobot_v1.tsfile"
table = "robocasa_30_7chosen_tasks_for_binh_lerobot_v1"

with TsFileReader(path) as reader:
    columns = ["episode_index", "task_index", "frame_index", "state_0", "actions_0"]
    with reader.query_table(table, columns, batch_size=4096) as result:
        batch = result.read_arrow_batch()
        if batch is not None:
            print(batch.to_pandas().head())

Downloads last month: 52

Total file size:

2.62 MB