Datasets:

---

iamseungpil

/

arc-agi-3-bestiary

like 0

Error code:   StreamingRowsError
Exception:    TypeError
Message:      Couldn't cast array of type
struct<comment: string, real_predicate: struct<id: string, alpha: int64, beta: int64, n_emit: int64>, decoy_predicate: struct<id: string, alpha: int64, beta: int64, n_emit: int64>>
to
{'turn': Value('int64'), 'visible_regions': List({'id': Value('string'), 'bbox': List(Value('int64')), 'size': Value('int64'), 'color': Value('int64'), 'is_multicolor': Value('bool'), 'y_band': Value('string'), 'click_response': {'clicks': Value('int64'), 'responses': Value('int64')}, 'is_marker_neighbor': Value('bool'), 'is_primary_marker': Value('bool'), 'neighbors_3x3': {'N': Value('string'), 'NE': Value('string'), 'E': Value('string'), 'SE': Value('string'), 'S': Value('string'), 'SW': Value('string'), 'W': Value('string'), 'NW': Value('string')}, 'crop': List(List(Value('int64')))}), 'visible_region_ids': List(Value('string')), 'active_hypotheses': List(Value('null')), 'candidate_tests': List({'candidate_id': Value('null'), 'suggested_test': {}, 'expected_observable_signature': {}, 'refutation_signature': {}, 'predicate_id': Value('string'), 'template_id': Value('string'), 'anchor_region': {'region_id': Value('string'), 'bbox': {'min_x': Value('int64'), 'min_y': Value('int64'), 'max_x': Value('int64'), 'max_y': Value('int64')}, 'color': Value('null'), 'is_multicolor': Value('bool'), 'kind': Value('string')}, 'suggested_coord': List(Value('int64')), 'score': Value('float64'), 'emitted_at_turn': Value('int64'), 'reemit_count': Value('int64')}), 'matched_prior_triggers': List(Value('null')), 'stuck_mode': Value('bool'), 'stuck_severity': Value('int64'), 'marker_neighbor_states': List({'marker_id': Value('string'), 'compass': {'N': {'region_id': Value('string'), 'current_color': Value('null'), 'clicks': Value('int64')}, 'NE': {'region_id': Value('string'), 'current_color': Value('null'), 'clicks': Value('int64')}, 'E': {'region_id': Value('string'), 'current_color': Value('null'), 'clicks': Value('int64')}, 'SE': {'region_id': Value('string'), 'current_color': Value('null'), 'clicks': Value('int64')}, 'S': {'region_id': Value('string'), 'current_color': Value('null'), 'clicks': Value('int64')}, 'SW': {'region_id': Value('string'), 'current_color': Value('null'), 'clicks': Value('int64')}, 'W': {'region_id': Value('string'), 'current_color': Value('null'), 'clicks': Value('int64')}, 'NW': {'region_id': Value('string'), 'current_color': Value('null'), 'clicks': Value('int64')}}}), 'summary': Value('string'), 'last_observation': {'primary_region_id': Value('string'), 'dominant_transition': {'from': Value('int64'), 'to': Value('int64'), 'count': Value('int64')}, 'level_delta': Value('int64')}, 'thought': Value('string'), 'coord_taken': List(Value('int64')), 'snapped_coord': Value('bool'), 'verdict': Value('string')}
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 2255, in cast_table_to_schema
                  cast_array_to_feature(
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1804, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2101, in cast_array_to_feature
                  raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
              TypeError: Couldn't cast array of type
              struct<comment: string, real_predicate: struct<id: string, alpha: int64, beta: int64, n_emit: int64>, decoy_predicate: struct<id: string, alpha: int64, beta: int64, n_emit: int64>>
              to
              {'turn': Value('int64'), 'visible_regions': List({'id': Value('string'), 'bbox': List(Value('int64')), 'size': Value('int64'), 'color': Value('int64'), 'is_multicolor': Value('bool'), 'y_band': Value('string'), 'click_response': {'clicks': Value('int64'), 'responses': Value('int64')}, 'is_marker_neighbor': Value('bool'), 'is_primary_marker': Value('bool'), 'neighbors_3x3': {'N': Value('string'), 'NE': Value('string'), 'E': Value('string'), 'SE': Value('string'), 'S': Value('string'), 'SW': Value('string'), 'W': Value('string'), 'NW': Value('string')}, 'crop': List(List(Value('int64')))}), 'visible_region_ids': List(Value('string')), 'active_hypotheses': List(Value('null')), 'candidate_tests': List({'candidate_id': Value('null'), 'suggested_test': {}, 'expected_observable_signature': {}, 'refutation_signature': {}, 'predicate_id': Value('string'), 'template_id': Value('string'), 'anchor_region': {'region_id': Value('string'), 'bbox': {'min_x': Value('int64'), 'min_y': Value('int64'), 'max_x': Value('int64'), 'max_y': Value('int64')}, 'color': Value('null'), 'is_multicolor': Value('bool'), 'kind': Value('string')}, 'suggested_coord': List(Value('int64')), 'score': Value('float64'), 'emitted_at_turn': Value('int64'), 'reemit_count': Value('int64')}), 'matched_prior_triggers': List(Value('null')), 'stuck_mode': Value('bool'), 'stuck_severity': Value('int64'), 'marker_neighbor_states': List({'marker_id': Value('string'), 'compass': {'N': {'region_id': Value('string'), 'current_color': Value('null'), 'clicks': Value('int64')}, 'NE': {'region_id': Value('string'), 'current_color': Value('null'), 'clicks': Value('int64')}, 'E': {'region_id': Value('string'), 'current_color': Value('null'), 'clicks': Value('int64')}, 'SE': {'region_id': Value('string'), 'current_color': Value('null'), 'clicks': Value('int64')}, 'S': {'region_id': Value('string'), 'current_color': Value('null'), 'clicks': Value('int64')}, 'SW': {'region_id': Value('string'), 'current_color': Value('null'), 'clicks': Value('int64')}, 'W': {'region_id': Value('string'), 'current_color': Value('null'), 'clicks': Value('int64')}, 'NW': {'region_id': Value('string'), 'current_color': Value('null'), 'clicks': Value('int64')}}}), 'summary': Value('string'), 'last_observation': {'primary_region_id': Value('string'), 'dominant_transition': {'from': Value('int64'), 'to': Value('int64'), 'count': Value('int64')}, 'level_delta': Value('int64')}, 'thought': Value('string'), 'coord_taken': List(Value('int64')), 'snapped_coord': Value('bool'), 'verdict': Value('string')}