Datasets:

zjt24
/

akabeko_instruct_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 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.

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.

akabeko_instruct_v1

This dataset is a TsFile conversion of akira-sasaki/akabeko_instruct_v1, a LeRobot SO-100 robot dataset.

Source Dataset

Original dataset: akira-sasaki/akabeko_instruct_v1
Original license: apache-2.0
Robot type: so100
Modalities: Time-series
Source sampling rate: 30 fps
Source scale: 300 episodes, 89,917 frames, 5 tasks
Source videos: 600 videos in the original dataset under videos/

The source task list is:

task_index=0: Pick up the cube and place it in the box.
task_index=1: Remove the cube from the box.
task_index=2: Pick up the pen and put it in the pen holder.
task_index=3: Pick up the yellow tape and place it in the box.
task_index=4: Remove the yellow tape from the box.

TsFile Conversion

The converted dataset stores the numeric robot time-series data in one TsFile:

data/akabeko_instruct_v1.tsfile

Conversion summary:

Rows: 89,917
Episodes: 300
Time precision: milliseconds
Table name: akabeko_instruct_v1
TAG columns: episode_index, task_index
Time mapping: Time = round(timestamp * 1000)
Dropped source column: timestamp, because it is represented by Time / 1000
Renamed source column: index to sample_index
Omitted source video features: observation.images.laptop, observation.images.phone

The meta/ directory is mirrored from the source dataset, with meta/info.json updated to describe the converted TsFile artifact and the video policy. Videos are not included in this converted repository; use the original dataset if frame-aligned videos are needed.

Schema

Time is the TsFile time column in milliseconds. episode_index and task_index are TAG columns. Remaining columns are FIELD measurements:

frame_index
sample_index
action_0 through action_5
observation_state_0 through observation_state_5

The 6 action and observation-state dimensions follow the source joint order:

main_shoulder_pan
main_shoulder_lift
main_elbow_flex
main_wrist_flex
main_wrist_roll
main_gripper

Usage

Read the TsFile with Apache TsFile tools or SDKs. Example path:

data/akabeko_instruct_v1.tsfile

To inspect a single episode in SQL-style tools, filter by the TAG:

SELECT *
FROM akabeko_instruct_v1
WHERE episode_index = 0;

Downloads last month: 72

Total file size:

2.46 MB