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Datasets:
azithromycin
/
grboguz_test_lfs

Tasks:
Robotics
Modalities:
Time-series
Tabular
Size:
10K<n<100K
Tags:
tsfile
timeseries
tabular
robotics
lerobot
sentinel_v2
License:
Dataset card Files
xet
 Community
1
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.

grboguz/test_lfs TsFile

This dataset is an Apache TsFile conversion of grboguz/test_lfs, a LeRobot v2.1 sentinel_v2 robot-manipulation dataset containing demonstrations for the task "pick the green cube."

Modalities: Time-series, Tabular. The converted repository contains numeric robot states, actions, frame timing, and episode/task tags. The two camera streams remain in the original Hugging Face dataset and are linked below.

Source Dataset and Provenance

  • Original dataset: grboguz/test_lfs
  • Pinned source revision: main
  • Original repository creator and uploader: grboguz
  • License: Apache-2.0
  • Robot type: sentinel_v2
  • LeRobot codebase version: v2.1
  • Task: pick the green cube (task_index = 0)
  • Split: train
  • Sampling rate: 15 fps
  • Scale: 210 episodes, 72,677 frame rows, 1 task, 210 source Parquet files, 420 source videos
  • 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

The source dataset card provides no paper or completed citation. The Hugging Face repository history attributes the source upload to the grboguz account.

Converted Files

  • TsFile: data/grboguz_test_lfs_train.tsfile
  • Table: grboguz_test_lfs_train
  • Rows: 72,677
  • Episodes/devices: 210
  • TsFile size: 1.36 MiB
  • Time precision: milliseconds
  • Metadata: meta/ is mirrored from the source, with meta/info.json rewritten to describe the TsFile artifact and conversion mapping.

TsFile Schema

Time is an INT64 millisecond timestamp computed as round(timestamp * 1000) and restarts for each episode.

TAG columns (stored as TsFile STRING tags while preserving the original source dtype in conversion metadata):

  • episode_index
  • task_index

FIELD columns:

  • frame_index
  • sample_index
  • observation_state_0
  • observation_state_1
  • observation_state_2
  • action_0
  • action_1
  • action_2
  • action_3

Flattened vector groups:

  • observation.state -> observation_state_0 ... observation_state_2 (3 FLOAT fields)
  • action -> action_0 ... action_3 (4 FLOAT fields)

Conversion Notes

  • The shared config-driven lerobot converter is used; the included convert_grboguz_test_lfs.py is the dataset-specific local entry point.
  • The train split is merged into one table-model TsFile. Filter by episode_index and task_index to select an episode or task.
  • Storage profile: Time uses TS_2DIFF + LZ4; FLOAT/DOUBLE use GORILLA + LZ4; INT32/INT64 use TS_2DIFF + LZ4; BOOLEAN uses RLE + LZ4. The episode_index and task_index columns remain TsFile table-model TAG/device columns.
  • action[4] and observation.state[3] are flattened to scalar FLOAT fields; the full source prefix is retained and . is replaced with _.
  • The source timestamp column is dropped after Time synthesis because it is redundant with Time / 1000 seconds.
  • The source index column is retained as sample_index; frame_index is retained unchanged.
  • All 72,677 source rows and all 7 action/state dimensions are retained.

Videos

Videos are not duplicated in this converted repository. The source contains two frame-aligned camera streams, each with 210 per-episode MP4 files:

The numeric TsFile rows remain aligned with the original videos through episode_index, frame_index, and the source per-episode metadata.

Validation

The generated TsFile is checked for successful tool completion, non-zero size, table schema, metadata row-count equality with the staged Parquet, and a query readback sample. See VALIDATION.md and validation_report.json.

Minimal Read Example 

from tsfile import TsFileReader

reader = TsFileReader("data/grboguz_test_lfs_train.tsfile")
table_name = "grboguz_test_lfs_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())
reader.close()

Citation

The source dataset card provides no paper or completed citation. Cite the original Hugging Face dataset and the grboguz account when using this converted artifact.
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