Datasets:

Sraghvi
/

bag-all-0-no-images

Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
episode_index: int64
seed: int64
total_frames: int64
successful: bool
vs
total_episodes: int64
total_frames: int64
fps: double
avg_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
              seed: int64
              total_frames: int64
              successful: bool
              vs
              total_episodes: int64
              total_frames: int64
              fps: double
              avg_duration: double

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Robot-Only Dataset from bag_all_0.db3 (No Images)

Real robot manipulation dataset with ONLY robot state data - no camera/image data.

Dataset Information

Format: LeRobot v2.1
Robot: Dual-arm SO101 (14 DOF total)
Frames: 100
NO IMAGES/VIDEOS (matches actual bag content)
Data: Joint positions and velocities only

Why No Images?

Analysis of bag_all_0.db3 shows NO camera topics:

✅ Joint states: /dynamic_joint_states
✅ Controller states: /arm2_controller/controller_state
❌ NO camera topics found

Features

observation.state: 14-DOF joint positions (2 arms × 7 joints)
action: 14-DOF joint velocities
Timestamps and indexing
NO image/video features

Topics from Original Bag

Based on actual bag_all_0.db3 content:

/dynamic_joint_states - Joint state data
/arm2_controller/controller_state - Controller state
/monitored_planning_scene - MoveIt planning
/tf - Transform data
NO camera/image topics

Usage

# This dataset contains ONLY robot joint data
# No camera/image processing needed

Compatibility

Should work with LeRobot visualizer since it matches actual bag content (no fake images).

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