["size_categories:1K<n<10K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
[{"name": "instruction", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "response", "dtype": "string"}, {"name": "category", "dtype": "string"}, {"name": "falcon180b_response", "dtype": "string"}, {"name": "falcon180b_reward", "dtype": "float64"}, {"name": "llama3_8b_response", "dtype": "string"}, {"name": "llama3_8b_reward", "dtype": "float64"}, {"name": "codellama_7b_response", "dtype": "string"}, {"name": "codellama_7b_reward", "dtype": "float64"}, {"name": "mixtral_7b_response", "dtype": "string"}, {"name": "mixtral_7b_reward", "dtype": "float64"}, {"name": "qwen_1.8b_response", "dtype": "string"}, {"name": "qwen_1.8b_reward", "dtype": "float64"}, {"name": "normalised_reward", "sequence": "float64"}]