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Datasets:
jzpeng
/
recreate-bug-pre-fix-v1-trim

Tasks:
Robotics
Size:
10K<n<100K
Tags:
tsfile
time-series
robotics
lerobot
manipulation
vibedata-materialized-collection
License:
Dataset card Files
xet
 Community
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 71, 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.

Recreate Bug Pre Fix V1 Trim TsFile

This dataset is an Apache TsFile conversion of VibeCuisine/recreate-bug-pre-fix-v1-trim, a LeRobot v3 robot-manipulation dataset.

Modalities: Time-series. The converted repository contains numeric robot observations, actions, auxiliary controller signals, frame timing, episode/task tags, and mirrored source metadata. Camera videos remain in the original Hugging Face dataset.

Source Dataset

  • Source dataset: VibeCuisine/recreate-bug-pre-fix-v1-trim
  • Original dataset author/uploader shown in the Hugging Face repository history: avu121
  • Source organization: VibeCuisine
  • License: Apache-2.0
  • Robot type: vibeboard_follower_tilt
  • LeRobot codebase version: v3.0
  • Task: Grab the cucumber close to one of the cucumber's ends.
  • Split: train
  • Scale: 181 episodes, 15,317 frames, 1 task, 20 fps
  • Source frame shards: 1
  • Source frame layout: data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet
  • Source video layout: videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4

Converted Files

  • TsFile: data/recreate_bug_pre_fix_v1_trim_train.tsfile
  • Table: recreate_bug_pre_fix_v1_trim_train
  • Rows: 15,317
  • Episodes: 181
  • Time precision: milliseconds
  • Metadata: meta/ is mirrored from the source, with meta/info.json updated to describe the TsFile artifact.

Schema

Time is synthesized as round(timestamp * 1000) milliseconds and restarts for each episode.

TAG columns:

  • episode_index
  • task_index

Scalar FIELD columns:

  • frame_index
  • sample_index, renamed from source index
  • aux_elevator_mm, renamed from aux.elevator_mm
  • aux_spinner_active, renamed from aux.spinner_active
  • aux_limit_home, renamed from aux.limit_home
  • aux_limit_gripper, renamed from aux.limit_gripper

Flattened FLOAT FIELD groups:

  • action[7] -> action_0 ... action_6
  • observation.state[7] -> observation_state_0 ... observation_state_6

Conversion Notes

  • The shared config-driven lerobot converter was used; the dataset-specific script is a thin local orchestration entry point.
  • The train split is merged into one table-model TsFile. Use episode_index and task_index TAG filters to select an episode or task.
  • Vector columns are flattened to scalar TsFile fields. Full source prefixes are preserved, with . replaced by _.
  • The source timestamp column is dropped after Time synthesis because it is redundant with Time / 1000 seconds.
  • Source index is renamed to sample_index; the four aux.* scalar columns are retained with dots replaced by underscores.
  • No numeric rows or numeric dimensions are intentionally dropped.

TsFile Encoding

  • FLOAT/DOUBLE: GORILLA encoding with LZ4 compression.
  • INT32/INT64: TS_2DIFF encoding with LZ4 compression.
  • Time: TS_2DIFF encoding with LZ4 compression.
  • BOOLEAN: configured as RLE with LZ4 when present; these datasets contain no BOOLEAN fields.
  • episode_index and task_index are stored as TsFile table-model TAG/device segments.

Videos

Videos are not duplicated in this converted repository. The original videos/ tree is 678 MB and contains three frame-aligned camera streams:

The source path template is videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4. The numeric rows remain aligned to the original video frames by episode_index, frame_index, and the source episode metadata under meta/episodes/.

Validation

The generated TsFile is checked for successful tool completion, non-zero size, table schema, and row-count equality against the staged Parquet. Expected row count: 15,317.

Usage 

from tsfile import TsFileReader

path = "data/recreate_bug_pre_fix_v1_trim_train.tsfile"
reader = TsFileReader(path)
table_name = "recreate_bug_pre_fix_v1_trim_train"
columns = [
    "episode_index",
    "task_index",
    "frame_index",
    "sample_index",
    "action_0",
    "observation_state_0",
]

with reader.query_table(table_name, columns, batch_size=65536) as result:
    batch = result.read_arrow_batch()
    print(batch.to_pandas().head())

Source and License

The source dataset card states that the dataset was created with LeRobot and is licensed under Apache-2.0. The original dataset author/uploader shown in the Hugging Face repository history is avu121, under the VibeCuisine organization. The source card does not provide a paper or completed citation.
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