Datasets:

azithromycin
/

RasmusP_so100_Orange2Green

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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SO100 Orange2Green TsFile

This Apache TsFile dataset is derived from RasmusP/so100_Orange2Green, a LeRobot v2.1 SO100 robot-manipulation dataset. It contains numeric trajectories, timing, and episode/task tags. The camera videos remain in the original repository.

Source Dataset and Attribution

Original dataset: RasmusP/so100_Orange2Green
Repository owner, publisher, and commit author: RasmusP
License: Apache-2.0
Task: "Grasp the orange block and drop it in the box."
Robot: so100; LeRobot version: v2.1
Split: train; sampling rate: 30 fps
Scale: 50 episodes, 29,712 frames, 1 task
Source shards: 50 Parquet files totaling 1,357,643 bytes
Source frame layout: data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet
Paper, external homepage, separate real-name author, and completed citation: not provided by the source card.

All three source repository commits are attributed to RasmusP.

TsFile Data

File: data/rasmusp_so100_orange2green.tsfile (400,808 bytes)
Table: rasmusp_so100_orange2green
Rows: 29,712; episodes/devices: 50; tasks: 1
Time precision: milliseconds
TsFile/source-Parquet size ratio: 0.295
Source meta/ is retained, with meta/info.json updated for the TsFile schema and source-video alignment.

Schema and Mapping

Time = round(timestamp * 1000) milliseconds. Time starts at zero and is strictly increasing inside every episode. The source timestamp is dropped afterward because it is represented by Time / 1000 seconds.

TsFile column	Role	Type	Source mapping
`Time`	TIME	TIMESTAMP	`round(timestamp * 1000)` ms
`episode_index`	TAG	STRING	Original INT64 episode index
`task_index`	TAG	STRING	Original INT64 task index
`frame_index`	FIELD	INT64	Preserved
`sample_index`	FIELD	INT64	Renamed from `index`
`action_0` ... `action_5`	FIELD	FLOAT	Flattened from `action[6]`
`observation_state_0` ... `observation_state_5`	FIELD	FLOAT	Flattened from `observation.state[6]`

The vector dimensions are main_shoulder_pan, main_shoulder_lift, main_elbow_flex, main_wrist_flex, main_wrist_roll, and main_gripper. Dots in source names are replaced by underscores. No numeric row, episode, task, state dimension, or action dimension is dropped.

Encodings and Compression

FLOAT/DOUBLE: GORILLA + LZ4
INT32/INT64: TS_2DIFF + LZ4
Time: TS_2DIFF + LZ4
BOOLEAN: RLE + LZ4 (the source contains no BOOLEAN field)
TAG: TsFile table/device TAG storage

The physical table schema, every field codec, TAG roles, and all 29,712 rows were read back with the Apache TsFile Java API.

Videos

Videos are not included here. The source contains 100 frame-aligned AV1 MP4 files (513,790,985 bytes), 640x480 at 30 fps with no audio, in two streams with 50 episode files each:

The source layout is videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4. Use episode_index, frame_index, and meta/episodes.jsonl to align numeric rows with both original video streams.

Data Integrity

Source Parquet, staged Parquet, and complete Java TsFile readback contain the same 29,712 rows. Scalar values, flattened vector values, TAGs, episode indexes, Time mapping, monotonicity, physical codecs, file size, and SHA-256 were checked locally. The conversion script and local reports are excluded from the upload-ready directory.

Minimal Read Example

from tsfile import TsFileReader

reader = TsFileReader("data/rasmusp_so100_orange2green.tsfile")
with reader.query_table(
    "rasmusp_so100_orange2green",
    ["episode_index", "task_index", "frame_index", "sample_index",
     "action_0", "observation_state_0"],
    batch_size=65536,
) as result:
    batch = result.read_arrow_batch()
    print(batch.to_pandas().head())
reader.close()

Citation

The source card provides no paper or completed citation. Cite the original Hugging Face dataset and its publisher RasmusP when using this dataset.

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