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Datasets:
azithromycin
/
Haribot099_so101_60

Tasks:
Robotics
Modalities:
Time-series
Tabular
Size:
10K<n<100K
Tags:
tsfile
timeseries
tabular
License:
Dataset card Files
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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 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.

Haribot099 SO101 60 TsFile

This repository contains an Apache TsFile representation of Haribot099/so101_60, a LeRobot v2.1 SO101 dataset for the task Grasp a Lego block and put it in the bin.

It contains numeric robot states, actions, frame timing, and episode/task tags. The camera streams remain in the original Hugging Face dataset.

Source Dataset and Attribution

  • Original dataset: Haribot099/so101_60
  • Original repository creator and uploader: Perla Harish (Haribot099)
  • License: Apache-2.0
  • Robot type: so101
  • LeRobot codebase version: v2.1
  • Task: Grasp a lego block and put it in the bin. (task_index = 0)
  • Split: train (0:60)
  • Sampling rate: 30 fps
  • Scale: 60 episodes, 27,418 frame rows, 1 task, 60 source Parquet shards, 120 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 BibTeX citation.

TsFile Contents

  • Path: data/haribot099_so101_60.tsfile
  • Table: haribot099_so101_60
  • Rows: 27,418
  • Episode/task devices: 60
  • Time precision: milliseconds
  • Numeric source Parquet size: 1,449,872 bytes
  • TsFile size: 463,488 bytes
  • TsFile/Parquet size ratio: 0.3197

Schema

Time is an INT64 millisecond timestamp computed as round(timestamp * 1000). It restarts at zero for every episode.

TAG columns use the TsFile table-model device/tag mechanism:

  • episode_index
  • task_index

FIELD columns:

  • frame_index
  • sample_index
  • action_0
  • action_1
  • action_2
  • action_3
  • action_4
  • action_5
  • observation_state_0
  • observation_state_1
  • observation_state_2
  • observation_state_3
  • observation_state_4
  • observation_state_5

Flattened vector groups:

  • action -> action_0 ... action_5 (6 FLOAT fields)
  • observation.state -> observation_state_0 ... observation_state_5 (6 FLOAT fields)

Transformation Notes

  • All 60 train episodes are merged into one table-model TsFile. Filter by episode_index and task_index to select an episode or task.
  • Time uses TS_2DIFF + LZ4; FLOAT/DOUBLE use GORILLA + LZ4; INT32/INT64 use TS_2DIFF + LZ4; BOOLEAN uses RLE + LZ4 when present.
  • action[6] and observation.state[6] become scalar FLOAT fields while preserving source prefixes; . is replaced with _.
  • The source timestamp field is omitted after Time synthesis because it is exactly represented by Time / 1000 seconds.
  • The source index field is retained as sample_index; frame_index is retained unchanged.
  • No numeric rows, action dimensions, or state dimensions are omitted.

Videos

Videos are not duplicated here. The original repository contains two frame-aligned streams at the source video layout shown above:

The 120 MP4 files total 595,801,843 bytes. Use episode_index and frame_index to align numeric rows with the original per-episode videos.

Minimal Read Example 

from tsfile import TsFileReader

reader = TsFileReader("data/haribot099_so101_60.tsfile")
columns = [
    "episode_index",
    "task_index",
    "frame_index",
    "sample_index",
    "action_0",
    "observation_state_0",
]

with reader.query_table("haribot099_so101_60", 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 BibTeX entry. Cite the original Hugging Face dataset and Perla Harish (Haribot099) when using this TsFile representation.
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