VerdictAD: Few-Shot Anomaly Detection via Decision-Guided Refinement
Paper • 2611.02654 • Published
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The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
text: string
to
{'img_path': Value('string'), 'anomaly': Value('int64'), 'z_free': Value('float64'), 'z_ref': Value('float64'), 'boxes': List(List(Value('float64'))), 'logits': List(Value('float64'))}
because column names don't match
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1856, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 810, in write_table
self.write_rows_on_file() # in case there are buffered rows to write first
~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 690, in write_rows_on_file
self._write_table(table)
~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 822, in _write_table
pa_table = table_cast(pa_table, self._schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2381, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
text: string
to
{'img_path': Value('string'), 'anomaly': Value('int64'), 'z_free': Value('float64'), 'z_ref': Value('float64'), 'boxes': List(List(Value('float64'))), 'logits': List(Value('float64'))}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1858, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
...<4 lines>...
)
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 1 new columns ({'text'}) and 6 missing columns ({'img_path', 'boxes', 'logits', 'z_ref', 'anomaly', 'z_free'}).
This happened while the json dataset builder was generating data using
hf://datasets/sunsean/VerdictAD/refs/loco_k2_s42/refs_breakfast_box.json (at revision 73d6ca8030c9595e07b490f82039f191f4d6fdd6), ['hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/decisions/loco_k1_s42/breakfast_box.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/decisions/loco_k1_s42/juice_bottle.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/decisions/loco_k1_s42/pushpins.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/decisions/loco_k1_s42/screw_bag.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/decisions/loco_k1_s42/splicing_connectors.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/decisions/loco_k1_s43/breakfast_box.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/decisions/loco_k1_s43/juice_bottle.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/decisions/loco_k1_s43/pushpins.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/decisions/loco_k1_s43/screw_bag.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/decisions/loco_k1_s43/splicing_connectors.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/decisions/loco_k1_s44/breakfast_box.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/decisions/loco_k1_s44/juice_bottle.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/decisions/loco_k1_s44/pushpins.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/decisions/loco_k1_s44/screw_bag.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/decisions/loco_k1_s44/splicing_connectors.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/decisions/loco_k2_s42/breakfast_box.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/decisions/loco_k2_s42/juice_bottle.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/decisions/loco_k2_s42/pushpins.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/decisions/loco_k2_s42/screw_bag.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/decisions/loco_k2_s42/splicing_connectors.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/decisions/loco_k2_s43/breakfast_box.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/decisions/loco_k2_s43/juice_bottle.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/decisions/loco_k2_s43/pushpins.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/decisions/loco_k2_s43/screw_bag.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/decisions/loco_k2_s43/splicing_connectors.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/decisions/loco_k2_s44/breakfast_box.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/decisions/loco_k2_s44/juice_bottle.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/decisions/loco_k2_s44/pushpins.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/decisions/loco_k2_s44/screw_bag.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/decisions/loco_k2_s44/splicing_connectors.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/decisions/loco_k4_s42/breakfast_box.json', 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'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k1_s44/refs_chewinggum.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k1_s44/refs_fryum.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k1_s44/refs_macaroni1.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k1_s44/refs_macaroni2.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k1_s44/refs_pcb1.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k1_s44/refs_pcb2.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k1_s44/refs_pcb3.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k1_s44/refs_pcb4.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k1_s44/refs_pipe_fryum.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k2_s42/refs_candle.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k2_s42/refs_capsules.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k2_s42/refs_cashew.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k2_s42/refs_chewinggum.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k2_s42/refs_fryum.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k2_s42/refs_macaroni1.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k2_s42/refs_macaroni2.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k2_s42/refs_pcb1.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k2_s42/refs_pcb2.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k2_s42/refs_pcb3.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k2_s42/refs_pcb4.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k2_s42/refs_pipe_fryum.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k2_s43/refs_candle.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k2_s43/refs_capsules.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k2_s43/refs_cashew.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k2_s43/refs_chewinggum.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k2_s43/refs_fryum.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k2_s43/refs_macaroni1.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k2_s43/refs_macaroni2.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k2_s43/refs_pcb1.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k2_s43/refs_pcb2.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k2_s43/refs_pcb3.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k2_s43/refs_pcb4.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k2_s43/refs_pipe_fryum.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k2_s44/refs_candle.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k2_s44/refs_capsules.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k2_s44/refs_cashew.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k2_s44/refs_chewinggum.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k2_s44/refs_fryum.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k2_s44/refs_macaroni1.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k2_s44/refs_macaroni2.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k2_s44/refs_pcb1.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k2_s44/refs_pcb2.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k2_s44/refs_pcb3.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k2_s44/refs_pcb4.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k2_s44/refs_pipe_fryum.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k4_s42/refs_candle.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k4_s42/refs_capsules.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k4_s42/refs_cashew.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k4_s42/refs_chewinggum.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k4_s42/refs_fryum.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k4_s42/refs_macaroni1.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k4_s42/refs_macaroni2.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k4_s42/refs_pcb1.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k4_s42/refs_pcb2.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k4_s42/refs_pcb3.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k4_s42/refs_pcb4.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k4_s42/refs_pipe_fryum.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k4_s43/refs_candle.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k4_s43/refs_capsules.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k4_s43/refs_cashew.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k4_s43/refs_chewinggum.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k4_s43/refs_fryum.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k4_s43/refs_macaroni1.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k4_s43/refs_macaroni2.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k4_s43/refs_pcb1.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k4_s43/refs_pcb2.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k4_s43/refs_pcb3.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k4_s43/refs_pcb4.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k4_s43/refs_pipe_fryum.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k4_s45/refs_candle.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k4_s45/refs_capsules.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k4_s45/refs_cashew.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k4_s45/refs_chewinggum.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k4_s45/refs_fryum.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k4_s45/refs_macaroni1.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k4_s45/refs_macaroni2.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k4_s45/refs_pcb1.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k4_s45/refs_pcb2.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k4_s45/refs_pcb3.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k4_s45/refs_pcb4.json', 'hf://datasets/sunsean/VerdictAD@73d6ca8030c9595e07b490f82039f191f4d6fdd6/refs/visa_k4_s45/refs_pipe_fryum.json']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1876, in _prepare_split_single
num_examples, num_bytes = writer.finalize()
~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 830, in finalize
self.write_rows_on_file()
~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 690, in write_rows_on_file
self._write_table(table)
~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 822, in _write_table
pa_table = table_cast(pa_table, self._schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2381, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
text: string
to
{'img_path': Value('string'), 'anomaly': Value('int64'), 'z_free': Value('float64'), 'z_ref': Value('float64'), 'boxes': List(List(Value('float64'))), 'logits': List(Value('float64'))}
because column names don't match
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1379, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 956, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1702, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1887, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
img_path string | anomaly int64 | z_free float64 | z_ref float64 | boxes list | logits list |
|---|---|---|---|---|---|
breakfast_box/test/bad/breakfast_box_logical_anomalies_000.png | 1 | -4.015625 | 0.570313 | [
[
0,
0,
0.4,
0.4
],
[
0.2,
0,
0.6,
0.4
],
[
0.4,
0,
0.8,
0.4
],
[
0.6,
0,
1,
0.4
],
[
0,
0.2,
0.4,
0.6
],
[
0.2,
0.2,
0.6,
0.6
],
[
0.4,
0.2,
0.8,
0.6
],
[
0.6,
0.2,
... | [
-1.02734375,
-1.984375,
0.953125,
0.85546875,
-1.890625,
-2.4765625,
-1.40234375,
-1.40234375,
0.08984375,
-2.2890625,
-1.23828125,
-1.2890625,
-0.798828125,
0.12109375,
0.30859375,
0.01953125,
-1.7578125,
0.12890625,
-0.41015625,
-0.91796875,
-2.0546875,
-2.1015625,
-0.7... |
breakfast_box/test/bad/breakfast_box_logical_anomalies_001.png | 1 | -3.953125 | 0.65625 | [
[
0,
0,
0.4,
0.4
],
[
0.2,
0,
0.6,
0.4
],
[
0.4,
0,
0.8,
0.4
],
[
0.6,
0,
1,
0.4
],
[
0,
0.2,
0.4,
0.6
],
[
0.2,
0.2,
0.6,
0.6
],
[
0.4,
0.2,
0.8,
0.6
],
[
0.6,
0.2,
... | [
-0.98046875,
-1.6796875,
0.1640625,
0.66015625,
-1.77734375,
-2.5703125,
-0.76171875,
-0.98828125,
-0.515625,
-2.4140625,
-0.78515625,
-1.578125,
-0.421875,
-1.6640625,
0.42578125,
-0.05859375,
-2.3828125,
-0.37109375,
-1.109375,
-1.5078125,
-2.2421875,
-1.71875,
-1.35937... |
breakfast_box/test/bad/breakfast_box_logical_anomalies_002.png | 1 | -3.921875 | 0.476563 | [
[
0,
0,
0.4,
0.4
],
[
0.2,
0,
0.6,
0.4
],
[
0.4,
0,
0.8,
0.4
],
[
0.6,
0,
1,
0.4
],
[
0,
0.2,
0.4,
0.6
],
[
0.2,
0.2,
0.6,
0.6
],
[
0.4,
0.2,
0.8,
0.6
],
[
0.6,
0.2,
... | [
-1.23046875,
-1.9453125,
0.798828125,
0.94921875,
-1.94921875,
-2.1171875,
-1.4921875,
-1.193359375,
-0.00390625,
-2.4375,
-1.08984375,
-1.4609375,
-0.689453125,
-0.1796875,
0.5234375,
0.29296875,
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breakfast_box/test/bad/breakfast_box_structural_anomalies_010.png | 1 | -3.550781 | 1.320313 | [
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breakfast_box/test/bad/breakfast_box_structural_anomalies_011.png | 1 | -3.542969 | -0.003906 | [
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breakfast_box/test/bad/breakfast_box_structural_anomalies_012.png | 1 | -2.027344 | -0.957031 | [
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breakfast_box/test/bad/breakfast_box_structural_anomalies_013.png | 1 | -3.617188 | -0.652344 | [
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breakfast_box/test/bad/breakfast_box_structural_anomalies_014.png | 1 | -1.097656 | 1.53125 | [
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breakfast_box/test/bad/breakfast_box_structural_anomalies_015.png | 1 | -3.914063 | -0.4375 | [
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breakfast_box/test/bad/breakfast_box_structural_anomalies_016.png | 1 | -4.046875 | 1.640625 | [
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End of preview.
VerdictAD decision cache
Decision-model outputs and reference lists behind every number in VerdictAD: Few-Shot Anomaly Detection via Decision-Guided Refinement (paper, code).
With this cache, evaluate.py reproduces the VerdictAD results on any detector run without running the decision model (Clef-Flash 9B).
Contents
27 runs: MVTec AD, VisA and MVTec LOCO AD × 1/2/4-shot × three reference draws (seeds 42/43/44 for 1- and 2-shot, 42/43/45 for 4-shot); 49,095 test images in total.
refs/<dataset>_k<shots>_s<seed>/refs_<class>.json the k normal references (paths relative to the dataset root)
decisions/<dataset>_k<shots>_s<seed>/<class>.json one record per test image
Each record:
| Field | Meaning |
|---|---|
img_path |
<class>/test/<type>/<file>, relative to the dataset root |
anomaly |
1 for an anomalous test image |
z_free |
GVR logit, query image alone |
z_ref |
GVR logit, query image against the 2×2 reference mosaic |
boxes |
32 windows (x0, y0, x1, y1) in [0, 1]: 16 crop windows, then the same 16 as red boxes |
logits |
LVR logit of each window |
The references come from the official SubspaceAD sampler at the given seed, and every detector in the paper uses them. LOCO paths follow the layout written by tools/prepare_loco.py; VisA paths follow the 1-class split.
Usage
huggingface-cli download sunsean/VerdictAD --repo-type dataset --local-dir verdictad_cache
python evaluate.py <detector_run> verdictad_cache/decisions/mvtec_k4_s42 --subspacead SubspaceAD
<detector_run> is a SubspaceAD run (patched to save maps) or a detectors.py output that uses refs/mvtec_k4_s42.
Citation
@article{sun2026verdictad,
title = {VerdictAD: Few-Shot Anomaly Detection via Decision-Guided Refinement},
author = {Sun, Shangquan and Luo, Wenjun and Wang, Yuanzhi and Li, Ruiqi and Chen, Ruoyu and Liu, Jiachen and Lu, Shijian},
journal = {arXiv preprint arXiv:2611.02654},
year = {2026}
}
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