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
item_id: string
image_url: string
out_dir: string
source_dir: string
priced_items: int64
target_fraction: double
target_count: int64
kept_items: int64
embedding_shape: list<item: int64>
child 0, item: int64
original_items: int64
catalog_bytes: int64
embeddings_bytes: int64
to
{'source_dir': Value('string'), 'out_dir': Value('string'), 'original_items': Value('int64'), 'target_fraction': Value('float64'), 'target_count': Value('int64'), 'priced_items': Value('int64'), 'kept_items': Value('int64'), 'embedding_shape': List(Value('int64')), 'catalog_bytes': Value('int64'), 'embeddings_bytes': 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
item_id: string
image_url: string
out_dir: string
source_dir: string
priced_items: int64
target_fraction: double
target_count: int64
kept_items: int64
embedding_shape: list<item: int64>
child 0, item: int64
original_items: int64
catalog_bytes: int64
embeddings_bytes: int64
to
{'source_dir': Value('string'), 'out_dir': Value('string'), 'original_items': Value('int64'), 'target_fraction': Value('float64'), 'target_count': Value('int64'), 'priced_items': Value('int64'), 'kept_items': Value('int64'), 'embedding_shape': List(Value('int64')), 'catalog_bytes': Value('int64'), 'embeddings_bytes': 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.
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Apparel23 Priced Half Compact Atlas Artifact
Compact Atlas retrieval artifact for flavianv/apparel23-smartcat-google-intersection.
Contents:
clothing_2023_smartcat_google_catalog_text.jsonl: priced Apparel23 catalog rows with only fields used by the outfit harness.e5_smartcat_google_intersection_embeddings.pt: embedding rows aligned toitem_order.json.item_order.json: ordered item ids for the compact embedding tensor.build_summary.json: build metadata and row counts.subcategories_apparel23_single.json: generated single-subcategory fallback for noise modes.
Build summary:
- Original artifact items: 842,410
- Priced/kept items: 225,328
- Embedding shape: 225,328 x 768
- Catalog JSONL size: ~278 MB
- Embeddings size: ~661 MB
Use with atlas.tools.build_tools by setting hf_repo to
flavianv/apparel23-smartcat-google-intersection-priced-half-compact, or by
setting ATLAS_APPAREL23_ARTIFACT_DIR to a local copy of this folder.
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