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train

The dataset viewer is not available for this split.

Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.

Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
source_dataset: string
trim_type: string
total_episodes: int64
episodes: list<item: null>
vs
dataset_id: string
total_episodes: int64
average_trim_frame: double
average_trim_seconds: double
average_similarity: double
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 228, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 3422, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2187, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2391, in iter
                  for key, example in iterator:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1882, in __iter__
                  for key, pa_table in self._iter_arrow():
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1904, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 559, in _iter_arrow
                  yield new_key, pa.Table.from_batches(chunks_buffer)
                File "pyarrow/table.pxi", line 4116, in pyarrow.lib.Table.from_batches
                File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              source_dataset: string
              trim_type: string
              total_episodes: int64
              episodes: list<item: null>
              vs
              dataset_id: string
              total_episodes: int64
              average_trim_frame: double
              average_trim_seconds: double
              average_similarity: double

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YAML Metadata Warning: empty or missing yaml metadata in repo card (https://huggingface.co/docs/hub/datasets-cards)

Trimmed Towel Folding Dataset

This dataset contains trimmed versions of towel folding episodes, cut at the first fold detection.

Source

Original dataset: arsenxeno/record-test
Trimming method: CLIP-based fold detection

Statistics

Total episodes: 0
Average trim point: Frame nan (nan seconds)
Average detection confidence: nan

Structure

videos/
  └── trimmed episode videos (.mp4)
data/
  └── episode_data.parquet (robot state data)
metadata.json (trimming information)
stats.json (dataset statistics)

Usage with LeRobot

from lerobot.common.datasets.lerobot_dataset import LeRobotDataset

dataset = LeRobotDataset(
    repo_id="xenorobotics/new-6",
    root="data",
    split="train"
)

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