["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
[{"name": "words", "sequence": "string"}, {"name": "ner", "sequence": {"class_label": {"names": {"0": "O", "1": "B-INGREDIENT", "2": "I-INGREDIENT", "3": "B-QUANTITY", "4": "B-UNIT", "5": "B-PACKAGE", "6": "B-ATTRIBUTE", "7": "I-ATTRIBUTE", "8": "I-UNIT", "9": "I-QUANTITY", "10": "I-PACKAGE", "11": "B-BRAND", "12": "I-BRAND"}}}}]