["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "library:distilabel", "region:us", "synthetic", "distilabel", "rlaif", "datacraft"]
[{"name": "text", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "games", "1": "home_and_garden", "2": "news", "3": "shopping", "4": "law_and_government", "5": "business_and_industrial", "6": "computer_and_electronic", "7": "jobs_and_education", "8": "health", "9": "real_estate", "10": "people_and_society", "11": "internet_and_telecom", "12": "travel_and_transportation", "13": "finance", "14": "sensitive_subjects", "15": "beauty_and_fitness", "16": "arts_and_entertainment", "17": "sport", "18": "autos_and_vehicles"}}}}]