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Datasets:
azithromycin
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sergiov2000_test_yellow_50_episodes

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.

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Sergiov2000 Test Yellow 50 Episodes TsFile

This dataset is an Apache TsFile representation of sergiov2000/test_yellow_50_episodes, a LeRobot v2.1 SO100 robot-manipulation dataset containing 50 demonstrations of the task Pick the yellow lego block and put it in the box.

This 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: sergiov2000/test_yellow_50_episodes
  • Original repository creator and uploader: sergiov2000
  • License: Apache-2.0
  • Robot type: so100
  • LeRobot codebase version: v2.1
  • Task: Pick the yellow lego block and put it in the box. (task_index = 0)
  • Split: train
  • Sampling rate: 30 fps
  • Scale: 50 episodes, 42,802 frame rows, 1 task, 50 source Parquet files, 100 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.

TsFile Data

  • TsFile: data/sergiov2000_test_yellow_50_episodes.tsfile
  • Table: sergiov2000_test_yellow_50_episodes
  • Rows: 42,802
  • Episodes/devices: 50
  • TsFile size: 0.53 MiB
  • Numeric source Parquet size: 1.75 MiB
  • TsFile/Parquet size ratio: 0.3018
  • Time precision: milliseconds
  • Metadata: the source JSON and JSONL files under meta/ are retained, and meta/info.json points data_path to the TsFile.

TsFile Schema

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

TAG columns, stored through 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)

Conversion Notes

  • 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, if present, uses RLE + LZ4. Physical codecs were checked from the generated TsFile.
  • episode_index and task_index are TsFile TAG/device columns.
  • action[6] and observation.state[6] 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.
  • No rows or numeric trajectory dimensions are dropped.
  • Source video features are intentionally omitted from the TsFile because they are external MP4 assets.

Videos

Videos are not duplicated in this repository. The original dataset contains two frame-aligned camera streams:

Together the 100 MP4 files occupy 1,563,936,004 bytes. Numeric rows remain aligned with the original videos through episode_index, frame_index, and the source per-episode metadata.

Minimal Read Example 

from tsfile import TsFileReader

reader = TsFileReader("data/sergiov2000_test_yellow_50_episodes.tsfile")
columns = [
    "episode_index",
    "task_index",
    "frame_index",
    "sample_index",
    "action_0",
    "observation_state_0",
]

with reader.query_table("sergiov2000_test_yellow_50_episodes", 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 citation. Cite the original Hugging Face dataset and its repository creator, sergiov2000, when using this TsFile dataset.
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