Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
count: int64
product_ids: list<item: string>
child 0, item: string
results: list<item: struct<categories: list<item: struct<id: int64, is_extended: bool, layout: int64, name: s (... 114 chars omitted)
child 0, item: struct<categories: list<item: struct<id: int64, is_extended: bool, layout: int64, name: string, orde (... 102 chars omitted)
child 0, categories: list<item: struct<id: int64, is_extended: bool, layout: int64, name: string, order: int64, published (... 8 chars omitted)
child 0, item: struct<id: int64, is_extended: bool, layout: int64, name: string, order: int64, published: bool>
child 0, id: int64
child 1, is_extended: bool
child 2, layout: int64
child 3, name: string
child 4, order: int64
child 5, published: bool
child 1, icon_url: null
child 2, id: int64
child 3, is_extended: bool
child 4, name: string
child 5, order: int64
previous: null
next: null
to
{'count': Value('int64'), 'next': Value('null'), 'previous': Value('null'), 'results': List({'categories': List({'id': Value('int64'), 'is_extended': Value('bool'), 'layout': Value('int64'), 'name': Value('string'), 'order': Value('int64'), 'published': Value('bool')}), 'icon_url': Value('null'), 'id': Value('int64'), 'is_extended': Value('bool'), 'name': Value('string'), 'order': Value('int64')})}
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 478, 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
count: int64
product_ids: list<item: string>
child 0, item: string
results: list<item: struct<categories: list<item: struct<id: int64, is_extended: bool, layout: int64, name: s (... 114 chars omitted)
child 0, item: struct<categories: list<item: struct<id: int64, is_extended: bool, layout: int64, name: string, orde (... 102 chars omitted)
child 0, categories: list<item: struct<id: int64, is_extended: bool, layout: int64, name: string, order: int64, published (... 8 chars omitted)
child 0, item: struct<id: int64, is_extended: bool, layout: int64, name: string, order: int64, published: bool>
child 0, id: int64
child 1, is_extended: bool
child 2, layout: int64
child 3, name: string
child 4, order: int64
child 5, published: bool
child 1, icon_url: null
child 2, id: int64
child 3, is_extended: bool
child 4, name: string
child 5, order: int64
previous: null
next: null
to
{'count': Value('int64'), 'next': Value('null'), 'previous': Value('null'), 'results': List({'categories': List({'id': Value('int64'), 'is_extended': Value('bool'), 'layout': Value('int64'), 'name': Value('string'), 'order': Value('int64'), 'published': Value('bool')}), 'icon_url': Value('null'), 'id': Value('int64'), 'is_extended': Value('bool'), 'name': Value('string'), 'order': Value('int64')})}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
🍍 Mercadona Catalog
Catálogo completo de productos y precios de la tienda online de Mercadona, exportado semanalmente desde su API pública (no oficial).
Estructura
| Archivo | Contenido |
|---|---|
categories.json |
Árbol de categorías (secciones y subcategorías) |
categories/<id>.json |
Detalle por categoría con productos asociados |
product_ids.json |
Índice con todos los IDs de producto |
products/<id>.json |
Detalle completo por producto (precio, descripción, imágenes, ...) |
Notas
- API no oficial. Puede cambiar sin aviso.
- Actualización semanal (lunes) via GitHub Actions.
- Respeta rate limits.
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