Datasets:

Sraghvi
/

test-csv-fixed

Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
episode_index: int64
episode_length: int64
episode_path: string
vs
episode_index: int64
num_frames: int64
duration: 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: 
              episode_index: int64
              episode_length: int64
              episode_path: string
              vs
              episode_index: int64
              num_frames: int64
              duration: double

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CSV_Test_-_Fixed_Issues

Robot manipulation dataset with 1 episodes.

Dataset Structure

Episodes: 1 episodes of robot manipulation
Cameras: 3 camera views (base, arm1, arm2)
Joints: 34 joint states
Format: LeRobot v2.1

Usage

from lerobot.common.datasets import LeRobotDataset

dataset = LeRobotDataset("Sraghvi/shrugmaster-robot-dataset")

Files

data/chunk-000/: Parquet files with episode data
videos/chunk-000/: MP4 video files for each camera (contains all image frames)
meta/: Metadata files (info.json, episodes.jsonl, etc.)

Dataset Details

Total Episodes: 1
Total Frames: 1416
Average Episode Length: 1416 frames
FPS: 8.9 (calculated from real data)
Robot Type: Bimanual arm with 34 joints
Camera Resolution: 1280x720
Video Codec: H.264

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