Dataset Viewer

The dataset viewer is not available for this dataset.

Cannot get the config names for the dataset.

Error code:   ConfigNamesError
Exception:    ValueError
Message:      Feature type 'Str' not found. Available feature types: ['Value', 'ClassLabel', 'Translation', 'TranslationVariableLanguages', 'LargeList', 'List', 'Array2D', 'Array3D', 'Array4D', 'Array5D', 'Audio', 'Image', 'Mesh', 'Video', 'Pdf', 'Nifti', 'Json']
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 67, in compute_config_names_response
                  config_names = get_dataset_config_names(
                      path=dataset,
                      token=hf_token,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                      path,
                  ...<4 lines>...
                      **download_kwargs,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1217, in dataset_module_factory
                  raise e1 from None
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1192, in dataset_module_factory
                  ).get_module()
                    ~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 622, in get_module
                  dataset_infos = DatasetInfosDict.from_dataset_card_data(dataset_card_data)
                File "/usr/local/lib/python3.14/site-packages/datasets/info.py", line 396, in from_dataset_card_data
                  dataset_info = DatasetInfo._from_yaml_dict(dataset_card_data["dataset_info"])
                File "/usr/local/lib/python3.14/site-packages/datasets/info.py", line 317, in _from_yaml_dict
                  yaml_data["features"] = Features._from_yaml_list(yaml_data["features"])
                                          ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 2148, in _from_yaml_list
                  return cls.from_dict(from_yaml_inner(yaml_data))
                         ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1993, in from_dict
                  obj = generate_from_dict(dic)
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1574, in generate_from_dict
                  return {key: generate_from_dict(value) for key, value in obj.items()}
                               ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1580, in generate_from_dict
                  raise ValueError(f"Feature type '{_type}' not found. Available feature types: {list(_FEATURE_TYPES.keys())}")
              ValueError: Feature type 'Str' not found. Available feature types: ['Value', 'ClassLabel', 'Translation', 'TranslationVariableLanguages', 'LargeList', 'List', 'Array2D', 'Array3D', 'Array4D', 'Array5D', 'Audio', 'Image', 'Mesh', 'Video', 'Pdf', 'Nifti', 'Json']

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

Compliments Products — Raw Enriched

Staging schema (compliments-products-staging) + raw Safeway enrichment fields.

Construction

Start: saraNour/compliments-products-staging (15 columns, preserved exactly)
Add: 19 raw Safeway enrichment fields from saraNour/voila-compliments-with-barcodes
Exclude: No derived, generated, or hierarchy fields. Categories stored as raw JSON arrays.

Coverage

Metric	Value
Rows	4440
UPC (≥0.95 confidence)	3293/4440 (74.2%)
Safeway categories (raw JSON)	4396/4440 (99.0%)
Safeway match (any)	4440/4440 (100.0%)

Column Sources

Origin	Count	Columns
Staging schema (original)	15	external_id, brand, title, price, price_currency, size, size_amount, size_unit, size_qty, size_per_unit, size_unit_norm, size_total, image_url, source, source_url
Raw enrichment (Safeway)	19	upc, gtin, match_confidence, match_found, auto_assign_upc, matching_method, id_exact_match, safeway_article_number, safeway_name, safeway_brand, safeway_price, safeway_url, safeway_uom, safeway_amount, safeway_weight, safeway_store_id, safeway_categories, safeway_keywords, safeway_description

Files

data/train-00000-of-00001.parquet — 4,440 rows, 34 columns
column_mapping.csv — detailed field-level mapping

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Total file size:

906 kB