["size_categories:1K<n<10K", "format:parquet", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
[{"name": "input_values", "sequence": {"sequence": {"sequence": "float32"}}}, {"name": "attention_mask", "sequence": {"sequence": "int32"}}, {"name": "labels", "dtype": "int64"}]