["size_categories:1K<n<10K", "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": "books_and_literature", "1": "news", "2": "law_and_government", "3": "business_and_industrial", "4": "shopping", "5": "health", "6": "science", "7": "beauty_and_fitness", "8": "games", "9": "home_and_garden", "10": "jobs_and_education", "11": "sensitive_subjects", "12": "people_and_society", "13": "adult", "14": "finance", "15": "hobbies_and_leisure", "16": "online_communities", "17": "sports", "18": "arts_and_entertainment", "19": "autos_and_vehicles", "20": "real_estate", "21": "computers_and_electronics", "22": "pets_and_animals", "23": "food_and_drink", "24": "travel_and_transportation", "25": "internet_and_telecom"}}}}]