["size_categories:n<1K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
[{"name": "doc_id", "dtype": "int64"}, {"name": "doc", "struct": [{"name": "orig_problem", "dtype": "string"}, {"name": "orig_solution", "dtype": "string"}, {"name": "orig_answer", "dtype": "string"}, {"name": "thinking_trajectory", "sequence": "string"}, {"name": "golden_thinking_trajectory", "sequence": "string"}, {"name": "model_solution", "dtype": "string"}, {"name": "old_trajectory", "sequence": "string"}, {"name": "labeled_trajectory", "sequence": "string"}, {"name": "text", "dtype": "string"}, {"name": "problem", "dtype": "string"}, {"name": "solution", "dtype": "string"}, {"name": "answer", "dtype": "string"}]}, {"name": "target", "dtype": "string"}, {"name": "arguments", "struct": [{"name": "gen_args_0", "struct": [{"name": "arg_0", "dtype": "string"}, {"name": "arg_1", "struct": [{"name": "until", "sequence": "string"}, {"name": "do_sample", "dtype": "bool"}, {"name": "temperature", "dtype": "float64"}, {"name": "max_gen_toks", "dtype": "int64"}]}]}]}, {"name": "resps", "sequence": {"sequence": "string"}}, {"name": "filtered_resps", "sequence": "string"}, {"name": "doc_hash", "dtype": "string"}, {"name": "prompt_hash", "dtype": "string"}, {"name": "target_hash", "dtype": "string"}, {"name": "exact_match", "dtype": "int64"}, {"name": "orig_problem", "dtype": "string"}, {"name": "orig_solution", "dtype": "string"}, {"name": "orig_answer", "dtype": "string"}, {"name": "thinking_trajectory", "sequence": "string"}, {"name": "golden_thinking_trajectory", "sequence": "string"}, {"name": "model_solution", "dtype": "string"}, {"name": "old_trajectory", "sequence": "string"}, {"name": "labeled_trajectory", "sequence": "string"}, {"name": "text", "dtype": "string"}, {"name": "problem", "dtype": "string"}, {"name": "solution", "dtype": "string"}, {"name": "answer", "dtype": "string"}]