Datasets:

THUgewu
/

tote_bag_400

Tasks:

Robotics

Modalities:

Tags:

Dataset card Files Files and versions

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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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tote_bag_400

This dataset was converted from Ksato5044/tote_bag_400 to Apache TsFile format.

Dataset Description

The original dataset is a LeRobot-format robot dataset for the task "Pick up the bag on the floor".

Modalities: Time-series. The original dataset also includes video streams.
Robot type: hsr
Codebase version: LeRobot v2.0
Recording frequency: 10 Hz
Split: train (0:400)
Scale: 400 episodes, 102,629 frames, 1 task, 800 source videos
Source data path: data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet
Source video path: videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4

Source Dataset

Original dataset: Ksato5044/tote_bag_400
Authors: Ksato5044
Task: Pick up the bag on the floor
License: Not declared in the source dataset metadata.

TsFile Conversion

The numeric robot state/action/time/task data was converted into one TsFile:

data/tote_bag_400.tsfile

Conversion details:

All 400 source episodes are stored in one TsFile table named tote_bag_400.
episode_index and task_index are TsFile TAG columns. Query a single episode with WHERE episode_index=N.
Time = round(timestamp * 1000) in milliseconds. The source timestamp column is not retained because it equals Time / 1000 seconds.
frame_index is kept. Source index is renamed to sample_index, and next.done is renamed to next_done.
Vector columns are flattened by preserving the source column name, replacing . with _, and appending the element index.
Values from flattened vector columns are stored as single-precision FLOAT.
The converted TsFile contains 102,629 rows and 104 columns including Time, TAG columns, and FIELD measurements.

Flattened vector features:

observation.state[8] -> observation_state_0..observation_state_7
observation.wrench.wrist[60] -> observation_wrench_wrist_0..observation_wrench_wrist_59
action.absolute[8] -> action_absolute_0..action_absolute_7
action.relative[11] -> action_relative_0..action_relative_10
action.arm[5] -> action_arm_0..action_arm_4
action.gripper[1] -> action_gripper_0
action.head[2] -> action_head_0..action_head_1
action.base[3] -> action_base_0..action_base_2

Schema roles:

TIME: Time in milliseconds.
TAG: episode_index, task_index.
FIELD: frame_index, sample_index, next_done, and the flattened robot observation/action measurements.

Dropped or omitted source fields:

timestamp is dropped because it is represented by Time.
observation.image.head and observation.image.hand are video features and are not converted into TsFile columns.
MP4 videos are not included in this repository. They remain in the original dataset under videos/.

The mirrored meta/info.json records the original video path and includes a tsfile_conversion section describing the converted schema, row count, TAG columns, dropped timestamp column, omitted video features, and time mapping.

Read Example

from tsfile import TsFileReader

path = "data/tote_bag_400.tsfile"

with TsFileReader(path) as reader:
    table = reader.get_all_table_schemas()["tote_bag_400"]
    columns = [c.get_column_name() for c in table.get_columns()]
    print(columns[:10])

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Total file size:

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