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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
id: string
name: string
category: string
description: string
expected_color: string
image_file: string
image_url: string
qa_status: string
original_qa_status: struct<P001: string, P002: string, P003: string, P004: string, P005: string, P006: string>
  child 0, P001: string
  child 1, P002: string
  child 2, P003: string
  child 3, P004: string
  child 4, P005: string
  child 5, P006: string
to
{'original_qa_status': {'P001': Value('string'), 'P002': Value('string'), 'P003': Value('string'), 'P004': Value('string'), 'P005': Value('string'), 'P006': Value('string')}}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, 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 127, 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 483, 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 2840, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              id: string
              name: string
              category: string
              description: string
              expected_color: string
              image_file: string
              image_url: string
              qa_status: string
              original_qa_status: struct<P001: string, P002: string, P003: string, P004: string, P005: string, P006: string>
                child 0, P001: string
                child 1, P002: string
                child 2, P003: string
                child 3, P004: string
                child 4, P005: string
                child 5, P006: string
              to
              {'original_qa_status': {'P001': Value('string'), 'P002': Value('string'), 'P003': Value('string'), 'P004': Value('string'), 'P005': Value('string'), 'P006': Value('string')}}
              because column names don't match

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Product Image QA Catalog

Test product catalog used for the automated image QA campaign.

Layout

  • products/<id>.json - product record (see schema below)
  • images/<id>.png - product swatch image used for AI-based QA
  • catalog_meta.json - machine-readable baseline metadata for evaluation

Product record schema

{"id": "P001", "name": "...", "category": "...", "description": "...",
 "expected_color": "red", "image_file": "images/P001.png",
 "image_url": "https://.../resolve/main/images/P001.png",
 "qa_status": "pending"}

qa_status is pending for products awaiting QA and archived for products that must be skipped.

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