["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
[{"name": "sentence", "dtype": "string"}, {"name": "relation", "dtype": {"class_label": {"names": {"0": "Cause-Effect(e1,e2)", "1": "Cause-Effect(e2,e1)", "2": "Component-Whole(e1,e2)", "3": "Component-Whole(e2,e1)", "4": "Content-Container(e1,e2)", "5": "Content-Container(e2,e1)", "6": "Entity-Destination(e1,e2)", "7": "Entity-Destination(e2,e1)", "8": "Entity-Origin(e1,e2)", "9": "Entity-Origin(e2,e1)", "10": "Instrument-Agency(e1,e2)", "11": "Instrument-Agency(e2,e1)", "12": "Member-Collection(e1,e2)", "13": "Member-Collection(e2,e1)", "14": "Message-Topic(e1,e2)", "15": "Message-Topic(e2,e1)", "16": "Product-Producer(e1,e2)", "17": "Product-Producer(e2,e1)", "18": "Other"}}}}, {"name": "template_name", "dtype": "string"}, {"name": "template", "dtype": "string"}, {"name": "rendered_input", "dtype": "string"}, {"name": "rendered_output", "dtype": "string"}]