Datasets:

azithromycin
/

adityx23_pnp_act_v4

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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PnP ACT v4 TsFile

Apache TsFile conversion of adityx23/pnp_act_v4, a LeRobot v3.0 30 Hz pick-and-place ACT dataset.

Modalities: Time-series. Numeric state/action trajectories, frame timing, and episode/task TAG metadata are included. Camera videos remain in the original Hugging Face dataset and are not included in this repository.

Source

Author/uploader: adityx23
License: Apache-2.0
Revision: cf5d5843f37f09e137949b983c0dc4a8f626193b
Split: train; 1 Parquet shard; 465 episodes; 114,278 rows; 30 fps
task_index contains only 0; no textual task label is supplied by the source metadata.
Source frames: data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet

Converted Dataset

TsFile: data/pnp_act_v4.tsfile
Table: pnp_act_v4
Rows: 114,278
Devices/episodes: 465
Time precision: milliseconds

Schema and Conversion

Time = round(timestamp * 1000) milliseconds and restarts at zero per episode. The source timestamp is dropped because it is redundant with Time / 1000 seconds. Source index is renamed to sample_index.

TAG columns use the TsFile table/device mechanism:

episode_index
task_index

FIELD columns:

frame_index, sample_index
observation.state[7] flattened to observation_state_0 ... observation_state_6
action[8] flattened to action_0 ... action_7

Codec profile: FLOAT/DOUBLE GORILLA + LZ4; INT32/INT64 TS_2DIFF + LZ4; Time TS_2DIFF + LZ4; BOOLEAN RLE + LZ4 when present (none occur in this source). No numeric rows or vector dimensions are dropped; video features are omitted from TsFile.

Videos

Videos are not uploaded here. The original dataset contains 465 MP4 files for each stream:

Use episode_index and frame_index to align rows with the original video files and meta/episodes records.

Validation

Source Parquet: 3,592,037 bytes and 114,278 rows. Converted TsFile: 4,314,182 bytes and 114,278 metadata rows. The TsFile contains 465 devices, 2 TAG columns, and 15 FIELD columns. The size ratio is approximately 1.2003; this is documented for review before further compression work.

Usage

from tsfile import TsFileReader

reader = TsFileReader("data/pnp_act_v4.tsfile")
columns = ["episode_index", "task_index", "frame_index", "sample_index", "action_0", "observation_state_0"]
with reader.query_table("pnp_act_v4", columns, batch_size=65536) as result:
    batch = result.read_arrow_batch()
    print(batch.to_pandas().head())

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Total file size:

4.37 MB