["task_categories:text-classification", "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": "labels", "sequence": {"class_label": {"names": {"0": "technology", "1": "science", "2": "sports", "3": "education", "4": "entertainment", "5": "health", "6": "politics", "7": "business"}}}}]