Datasets:

Sraghvi
/

anthony-format-robot

Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
episode_index: int64
seed: null
total_frames: int64
vs
total_episodes: int64
total_frames: int64
min_episode_length: int64
max_episode_length: int64
mean_episode_length: int64
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: null
              total_frames: int64
              vs
              total_episodes: int64
              total_frames: int64
              min_episode_length: int64
              max_episode_length: int64
              mean_episode_length: int64

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Robot Dataset Matching Anthony's Format

Dataset with IDENTICAL structure to Anthony's working tfortunato/marker-pick dataset.

Format Details

Structure: EXACT copy of tfortunato/marker-pick
Codebase: v2.1 (like Anthony's)
Robot: so101_follower (like Anthony's)
Files: episode_000000.parquet (like Anthony's)
Metadata: JSONL format (like Anthony's)
Features: NO next.reward/done/success (like Anthony's)

Key Matches with Anthony's Dataset

✅ File structure: data/chunk-000/episode_000000.parquet ✅ Metadata: episodes.jsonl, tasks.jsonl, episodes_stats.jsonl ✅ Columns: action, observation.state, timestamp, frame_index, episode_index, index, task_index ✅ Codebase version: v2.1 ✅ Robot type: so101_follower ✅ Data path pattern: episode_{episode_index:06d}.parquet

Data Features

action: 14-DOF robot actions (like SO101)
observation.state: 14-DOF robot state (like SO101)
Standard indexing: timestamp, frame_index, episode_index, index, task_index
NO video features (matches bag_all_0.db3 having no cameras)

Source

Based on real robot data structure from bag_all_0.db3. Format exactly matches Anthony's working dataset.

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