Datasets:

zjt24
/

aloha_zipping_bag

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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aloha_zipping_bag

This dataset is a TsFile conversion of the LeRobot dataset locht131/aloha-zipping-bag. The source dataset was created using LeRobot and contains an ALOHA robot bag-zipping task.

Modalities: Time-series.

Source Dataset

Original dataset: locht131/aloha-zipping-bag
License: MIT
Codebase version: v2.1
Robot type: ALOHA
Split: train 0:99
Scale: 99 episodes, 40,313 frames, 1 task, 1 chunk
Sampling rate: 15 fps
Source frame layout: data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet
Source video layout: videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4

Task:

Use both hands to center and align the bag, zip it halfway with the left hand, then pass the zipper to the right hand and finish closing the bag.

Converted Data

TsFile path: data/aloha_zipping_bag.tsfile
Table name: aloha_zipping_bag
Rows: 40,313
TAG columns: episode_index, task_index
Time precision: milliseconds
Time mapping: Time = round(timestamp * 1000)
Mirrored metadata: meta/info.json, meta/tasks.jsonl, meta/episodes.jsonl, meta/episodes_stats.jsonl

meta/info.json has been updated so that data_path points to data/aloha_zipping_bag.tsfile and includes a tsfile_conversion object documenting the source path, converted path, TAG columns, row count, flattened features, and video policy.

Schema

Time is the TsFile timestamp column. The original episode_index and task_index columns are stored as TAG columns, so downstream queries can select episodes or tasks using TsFile device/tag filters.

Scalar FIELD columns:

frame_index
sample_index converted from source index

Flattened FLOAT FIELD groups:

action_0 through action_13 from source action[14]
observation_state_0 through observation_state_13 from source observation.state[14]
observation_velocity_0 through observation_velocity_13 from source observation.velocity[14]
observation_effort_0 through observation_effort_13 from source observation.effort[14]

Conversion Notes

The source timestamp column is used only to synthesize Time and is not retained as a separate FIELD because it is redundant with Time / 1000 seconds.
Source index is renamed to sample_index.
No numeric time-series rows are intentionally dropped.
Videos are not included in this converted repository. The original dataset contains 297 AV1 MP4 videos across three video features: observation.images.color.high, observation.images.color.wrist_right, and observation.images.color.wrist_left.
Source videos remain available in the original dataset under videos/.

Usage

from tsfile import TsFileReader

reader = TsFileReader("data/aloha_zipping_bag.tsfile")
tables = reader.get_all_table_schemas()
print(tables.keys())

Read the .tsfile file with the Apache TsFile SDK or compatible tooling.

Downloads last month: 20

Total file size:

6.63 MB