Datasets:

---

fbsh96

/

so101_handover_hil_rlready_batch1_20260505

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
dataset_root: string
data_path: string
episodes_path: string
output_path: string
rows: int64
episodes: int64
success_episodes: int64
failure_episodes: int64
intervention_frames: int64
acp_frames_total: int64
acp_intervention_frames_used: int64
advantage_p50: double
advantage_p90: double
advantage_p95: double
advantage_top_frames_used: int64
frame_weight: struct<min: double, mean: double, p50: double, p95: double, max: double>
  child 0, min: double
  child 1, mean: double
  child 2, p50: double
  child 3, p95: double
  child 4, max: double
event_score: struct<nonzero_frames: int64, mean: double, max: double>
  child 0, nonzero_frames: int64
  child 1, mean: double
  child 2, max: double
progress_delta_chunk100: struct<min: double, mean: double, p50: double, p95: double, max: double, positive_frames: int64, hig (... 23 chars omitted)
  child 0, min: double
  child 1, mean: double
  child 2, p50: double
  child 3, p95: double
  child 4, max: double
  child 5, positive_frames: int64
  child 6, high_delta_gt_0_01: int64
recommended_rabc_progress_path: string
recommended_rabc_head_mode: string
columns: list<item: string>
  child 0, item: string
acp_frames: int64
to
{'dataset_root': Value('string'), 'data_path': Value('string'), 'episodes_path': Value('string'), 'output_path': Value('string'), 'rows': Value('int64'), 'episodes': Value('int64'), 'success_episodes': Value('int64'), 'failure_episodes': Value('int64'), 'intervention_frames': Value('int64'), 'acp_frames': Value('int64'), 'advantage_p50': Value('float64'), 'advantage_p95': Value('float64'), 'frame_weight': {'min': Value('float64'), 'mean': Value('float64'), 'p50': Value('float64'), 'p95': Value('float64'), 'max': Value('float64')}, 'event_score': {'nonzero_frames': Value('int64'), 'mean': Value('float64'), 'max': Value('float64')}, 'progress_delta_chunk100': {'min': Value('float64'), 'mean': Value('float64'), 'p50': Value('float64'), 'p95': Value('float64'), 'max': Value('float64'), 'positive_frames': Value('int64'), 'high_delta_gt_0_01': Value('int64')}, 'columns': List(Value('string'))}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                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 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              dataset_root: string
              data_path: string
              episodes_path: string
              output_path: string
              rows: int64
              episodes: int64
              success_episodes: int64
              failure_episodes: int64
              intervention_frames: int64
              acp_frames_total: int64
              acp_intervention_frames_used: int64
              advantage_p50: double
              advantage_p90: double
              advantage_p95: double
              advantage_top_frames_used: int64
              frame_weight: struct<min: double, mean: double, p50: double, p95: double, max: double>
                child 0, min: double
                child 1, mean: double
                child 2, p50: double
                child 3, p95: double
                child 4, max: double
              event_score: struct<nonzero_frames: int64, mean: double, max: double>
                child 0, nonzero_frames: int64
                child 1, mean: double
                child 2, max: double
              progress_delta_chunk100: struct<min: double, mean: double, p50: double, p95: double, max: double, positive_frames: int64, hig (... 23 chars omitted)
                child 0, min: double
                child 1, mean: double
                child 2, p50: double
                child 3, p95: double
                child 4, max: double
                child 5, positive_frames: int64
                child 6, high_delta_gt_0_01: int64
              recommended_rabc_progress_path: string
              recommended_rabc_head_mode: string
              columns: list<item: string>
                child 0, item: string
              acp_frames: int64
              to
              {'dataset_root': Value('string'), 'data_path': Value('string'), 'episodes_path': Value('string'), 'output_path': Value('string'), 'rows': Value('int64'), 'episodes': Value('int64'), 'success_episodes': Value('int64'), 'failure_episodes': Value('int64'), 'intervention_frames': Value('int64'), 'acp_frames': Value('int64'), 'advantage_p50': Value('float64'), 'advantage_p95': Value('float64'), 'frame_weight': {'min': Value('float64'), 'mean': Value('float64'), 'p50': Value('float64'), 'p95': Value('float64'), 'max': Value('float64')}, 'event_score': {'nonzero_frames': Value('int64'), 'mean': Value('float64'), 'max': Value('float64')}, 'progress_delta_chunk100': {'min': Value('float64'), 'mean': Value('float64'), 'p50': Value('float64'), 'p95': Value('float64'), 'max': Value('float64'), 'positive_frames': Value('int64'), 'high_delta_gt_0_01': Value('int64')}, 'columns': List(Value('string'))}
              because column names don't match