["task_categories:text-classification", "language:en", "size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
[{"name": "text", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "Business", "1": "Entertainment", "2": "Europe", "3": "Health", "4": "Italia", "5": "Music Feeds", "6": "Sci/Tech", "7": "Software and Developement", "8": "Sports", "9": "Toons", "10": "Top News", "11": "Top Stories", "12": "U.S.", "13": "World"}}}}]