Datasets:

jzpeng
/

slowturtle99_so100_pick_place

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 Pick Place TsFile

This dataset is an Apache TsFile conversion of slowturtle99/so100_pick_place (https://huggingface.co/datasets/slowturtle99/so100_pick_place), a LeRobot v2.1 SO100 robot-manipulation dataset.

Modalities: Time-series. It contains numeric observations, actions, frame timing, episode/task tags, and mirrored source metadata. Camera videos remain in the original Hugging Face dataset.

Source Dataset and Author

Source dataset: slowturtle99/so100_pick_place (https://huggingface.co/datasets/slowturtle99/so100_pick_place)
Pinned revision: e82ce5fd2bd8448c005dddebcf819123b1ff7ac2 (https://huggingface.co/datasets/slowturtle99/so100_pick_place/tree/e82ce5fd2bd8448c005dddebcf819123b1ff7ac2)
Original author/uploader: slowturtle99 (https://huggingface.co/slowturtle99)
Authorship evidence: all five source commits are attributed to slowturtle99; no separate formal author list or paper is supplied.
License: Apache-2.0; robot type: so100; LeRobot version: v2.1; split: train; sampling rate: 30 fps
Scale: 120 episodes, 37,162 frames, 1 task
Episode length: 226-407 frames (median 307.5)
Source frame layout: data/chunk-000/episode_{episode_index:06d}.parquet
Source video layout: videos/chunk-000/observation.images.webcam/episode_{episode_index:06d}.mp4

The source README embeds an outdated 40-episode/11,629-frame info.json excerpt. The pinned repository files used here contain 120 episodes and 37,162 frames.

Converted Files

TsFile: data/slowturtle99_so100_pick_place_train.tsfile (852,976 bytes)
Table: slowturtle99_so100_pick_place_train
Rows: 37,162; episodes/devices: 120; tasks: 1
Time precision: milliseconds
meta/ is mirrored from the source, with meta/info.json rewritten for the TsFile artifact and source-video policy.

TsFile Schema

Time = round(timestamp * 1000) milliseconds, restarting at zero per episode.

TAG columns:

episode_index
task_index

Scalar FIELD columns:

frame_index
sample_index (renamed from source index)

Flattened FLOAT FIELD groups:

action[6] -> action_0 ... action_5
observation.state[6] -> observation_state_0 ... observation_state_5

The six dimensions are main_shoulder_pan, main_shoulder_lift, main_elbow_flex, main_wrist_flex, main_wrist_roll, and main_gripper.

Encoding and Conversion Notes

The shared config-driven lerobot converter is used; this local script is the reproducible dataset-specific entry point.
All train rows are merged into one table-model TsFile. TAGs use the TsFile device/tag mechanism.
FLOAT/DOUBLE use GORILLA + LZ4. INT32/INT64 and Time use TS_2DIFF + LZ4. No BOOLEAN fields occur in this source; the requested BOOLEAN profile is RLE + LZ4.
Vectors are flattened to scalar fields with dots replaced by underscores.
timestamp is dropped after Time synthesis because it equals Time / 1000; index becomes sample_index; frame_index is kept. No other row or state/action dimension is dropped.

Videos

Videos are not copied here. The pinned source contains 120 frame-aligned MP4 files (139,843,079 bytes, about 133.4 MiB) under https://huggingface.co/datasets/slowturtle99/so100_pick_place/tree/e82ce5fd2bd8448c005dddebcf819123b1ff7ac2/videos/chunk-000/observation.images.webcam. The source metadata describes 640x480 H.264 at 30 fps without audio. episode_index, frame_index, and meta/episodes preserve alignment.

Validation

Apache TsFile SDK metadata and a complete batched query readback both match the staged Parquet (37,162 rows). Source schemas and vector widths were also checked. Exact hashes and checks are in VALIDATION.md and validation_report.json.

Usage

from tsfile import TsFileReader
reader = TsFileReader("data/slowturtle99_so100_pick_place_train.tsfile")
with reader.query_table("slowturtle99_so100_pick_place_train",
        ["episode_index", "task_index", "frame_index", "sample_index",
         "action_0", "observation_state_0"],
        batch_size=65536) as result:
    print(result.read_arrow_batch().to_pandas().head())

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Total file size:

1.1 MB