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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
parent: string
seed: int64
strategy: string
num_windows: int64
per_task_counts: struct<CloseDoubleDoor: int64, CloseDrawer: int64, CloseSingleDoor: int64, CoffeePressButton: int64, (... 484 chars omitted)
  child 0, CloseDoubleDoor: int64
  child 1, CloseDrawer: int64
  child 2, CloseSingleDoor: int64
  child 3, CoffeePressButton: int64
  child 4, CoffeeServeMug: int64
  child 5, CoffeeSetupMug: int64
  child 6, OpenDoubleDoor: int64
  child 7, OpenDrawer: int64
  child 8, OpenSingleDoor: int64
  child 9, PnPCabToCounter: int64
  child 10, PnPCounterToCab: int64
  child 11, PnPCounterToMicrowave: int64
  child 12, PnPCounterToSink: int64
  child 13, PnPCounterToStove: int64
  child 14, PnPMicrowaveToCounter: int64
  child 15, PnPSinkToCounter: int64
  child 16, PnPStoveToCounter: int64
  child 17, TurnOffMicrowave: int64
  child 18, TurnOffSinkFaucet: int64
  child 19, TurnOffStove: int64
  child 20, TurnOnMicrowave: int64
  child 21, TurnOnSinkFaucet: int64
  child 22, TurnOnStove: int64
  child 23, TurnSinkSpout: int64
label_counts: struct<forward: int64, down: int64, right: int64, left: int64, backward: int64, up: int64, stop: int (... 154 chars omitted)
  child 0, forward: int64
  child 1, down: int64
  child 2, right: int64
  child 3, left: int64
  child 4, backward: int64
  child 5, up: int64
  child 6, stop: int64
  child 7, close_gripper: int64
  child 8, open_gripper: int64
  child 9, roll_right: int64
  child 10, tilt_up: int64
  child 11, rotate_CW: int64
  child 12, tilt_down: int64
  child 13, rotate_CCW: int64
  child 14, roll_left: int64
windows: list<item: struct<episode_index: int64, source_episode_index: int64, task_type: string, task: string (... 28 chars omitted)
  child 0, item: struct<episode_index: int64, source_episode_index: int64, task_type: string, task: string, t0: int64 (... 16 chars omitted)
      child 0, episode_index: int64
      child 1, source_episode_index: int64
      child 2, task_type: string
      child 3, task: string
      child 4, t0: int64
      child 5, label: string
label_rule: string
thresholds: struct<tau_pos: double, tau_rot: double>
  child 0, tau_pos: double
  child 1, tau_rot: double
source_labels: string
window: struct<size: int64, stride: int64, note: string, clip_note: string>
  child 0, size: int64
  child 1, stride: int64
  child 2, note: string
  child 3, clip_note: string
source_dataset: string
episodes: list<item: struct<episode_index: int64, source_episode_index: int64, task: string, windows: list<ite (... 38 chars omitted)
  child 0, item: struct<episode_index: int64, source_episode_index: int64, task: string, windows: list<item: struct<t (... 26 chars omitted)
      child 0, episode_index: int64
      child 1, source_episode_index: int64
      child 2, task: string
      child 3, windows: list<item: struct<t0: int64, label: string>>
          child 0, item: struct<t0: int64, label: string>
              child 0, t0: int64
              child 1, label: string
num_episodes: int64
to
{'source_labels': Value('string'), 'source_dataset': Value('string'), 'thresholds': {'tau_pos': Value('float64'), 'tau_rot': Value('float64')}, 'window': {'size': Value('int64'), 'stride': Value('int64'), 'note': Value('string'), 'clip_note': Value('string')}, 'label_rule': Value('string'), 'num_episodes': Value('int64'), 'num_windows': Value('int64'), 'episodes': List({'episode_index': Value('int64'), 'source_episode_index': Value('int64'), 'task': Value('string'), 'windows': List({'t0': Value('int64'), 'label': Value('string')})})}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 149, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 129, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 489, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              parent: string
              seed: int64
              strategy: string
              num_windows: int64
              per_task_counts: struct<CloseDoubleDoor: int64, CloseDrawer: int64, CloseSingleDoor: int64, CoffeePressButton: int64, (... 484 chars omitted)
                child 0, CloseDoubleDoor: int64
                child 1, CloseDrawer: int64
                child 2, CloseSingleDoor: int64
                child 3, CoffeePressButton: int64
                child 4, CoffeeServeMug: int64
                child 5, CoffeeSetupMug: int64
                child 6, OpenDoubleDoor: int64
                child 7, OpenDrawer: int64
                child 8, OpenSingleDoor: int64
                child 9, PnPCabToCounter: int64
                child 10, PnPCounterToCab: int64
                child 11, PnPCounterToMicrowave: int64
                child 12, PnPCounterToSink: int64
                child 13, PnPCounterToStove: int64
                child 14, PnPMicrowaveToCounter: int64
                child 15, PnPSinkToCounter: int64
                child 16, PnPStoveToCounter: int64
                child 17, TurnOffMicrowave: int64
                child 18, TurnOffSinkFaucet: int64
                child 19, TurnOffStove: int64
                child 20, TurnOnMicrowave: int64
                child 21, TurnOnSinkFaucet: int64
                child 22, TurnOnStove: int64
                child 23, TurnSinkSpout: int64
              label_counts: struct<forward: int64, down: int64, right: int64, left: int64, backward: int64, up: int64, stop: int (... 154 chars omitted)
                child 0, forward: int64
                child 1, down: int64
                child 2, right: int64
                child 3, left: int64
                child 4, backward: int64
                child 5, up: int64
                child 6, stop: int64
                child 7, close_gripper: int64
                child 8, open_gripper: int64
                child 9, roll_right: int64
                child 10, tilt_up: int64
                child 11, rotate_CW: int64
                child 12, tilt_down: int64
                child 13, rotate_CCW: int64
                child 14, roll_left: int64
              windows: list<item: struct<episode_index: int64, source_episode_index: int64, task_type: string, task: string (... 28 chars omitted)
                child 0, item: struct<episode_index: int64, source_episode_index: int64, task_type: string, task: string, t0: int64 (... 16 chars omitted)
                    child 0, episode_index: int64
                    child 1, source_episode_index: int64
                    child 2, task_type: string
                    child 3, task: string
                    child 4, t0: int64
                    child 5, label: string
              label_rule: string
              thresholds: struct<tau_pos: double, tau_rot: double>
                child 0, tau_pos: double
                child 1, tau_rot: double
              source_labels: string
              window: struct<size: int64, stride: int64, note: string, clip_note: string>
                child 0, size: int64
                child 1, stride: int64
                child 2, note: string
                child 3, clip_note: string
              source_dataset: string
              episodes: list<item: struct<episode_index: int64, source_episode_index: int64, task: string, windows: list<ite (... 38 chars omitted)
                child 0, item: struct<episode_index: int64, source_episode_index: int64, task: string, windows: list<item: struct<t (... 26 chars omitted)
                    child 0, episode_index: int64
                    child 1, source_episode_index: int64
                    child 2, task: string
                    child 3, windows: list<item: struct<t0: int64, label: string>>
                        child 0, item: struct<t0: int64, label: string>
                            child 0, t0: int64
                            child 1, label: string
              num_episodes: int64
              to
              {'source_labels': Value('string'), 'source_dataset': Value('string'), 'thresholds': {'tau_pos': Value('float64'), 'tau_rot': Value('float64')}, 'window': {'size': Value('int64'), 'stride': Value('int64'), 'note': Value('string'), 'clip_note': Value('string')}, 'label_rule': Value('string'), 'num_episodes': Value('int64'), 'num_windows': Value('int64'), 'episodes': List({'episode_index': Value('int64'), 'source_episode_index': Value('int64'), 'task': Value('string'), 'windows': List({'t0': Value('int64'), 'label': Value('string')})})}
              because column names don't match

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robocasa_mg_gr00t_300_val

RoboCasa-Kitchen (Panda+OmronBase) held-out validation set for the wan22 WAM DiT4DiT video-prediction / probing evaluations — the val counterpart of the robocasa_mg_gr00t_300 training set (episodes drawn from the mg1000 holdout source episodes 300–349).

  • LeRobot v2.0 layout (data/ parquet · meta/ · videos/ MP4, 3 views: wrist_view / left_view / right_view), 20 fps
  • 1,200 episodes · 344,486 frames · 365 task strings
  • meta/val_windows_2048.json — the fixed 2,048-window subsample used by vidmetrics_val2048 (PSNR/SSIM/LPIPS/FVD): per window {episode_index, source_episode_index, task_type, task, t0, label}; deterministic generation seed downstream = hash((source_episode_index, t0))
  • meta/val_windows.json — the full window list the 2,048 were sampled from

Provenance: videos re-materialized from the shared preprocessed mg1000 copy (the original symlink targets were cleaned up upstream); content is identical to the set used for all published val2048 numbers (2026-07 vidmetrics runs).

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