{ "formatResults": [ { "format": "toon", "accuracy": 0.8658280922431866, "totalTokens": 4678, "averageLatency": 5321, "correctCount": 413, "totalCount": 477 }, { "format": "xml", "accuracy": 0.8616352201257862, "totalTokens": 9944, "averageLatency": 6035, "correctCount": 411, "totalCount": 477 }, { "format": "csv", "accuracy": 0.8469601677148847, "totalTokens": 4745, "averageLatency": 6551, "correctCount": 404, "totalCount": 477 }, { "format": "json", "accuracy": 0.8322851153039832, "totalTokens": 8713, "averageLatency": 7981, "correctCount": 397, "totalCount": 477 }, { "format": "yaml", "accuracy": 0.8259958071278826, "totalTokens": 7091, "averageLatency": 5561, "correctCount": 394, "totalCount": 477 } ], "questions": 159, "models": [ "gpt-5-nano", "claude-haiku-4-5", "gemini-2.5-flash" ], "datasets": [ { "name": "tabular", "description": "Uniform employee records (TOON optimal format)" }, { "name": "nested", "description": "E-commerce orders with nested structures" }, { "name": "analytics", "description": "Time-series analytics data" }, { "name": "github", "description": "Top 100 GitHub repositories" } ], "tokenCounts": { "json-tabular": 6347, "json-nested": 9694, "json-analytics": 3665, "json-github": 15145, "toon-tabular": 2483, "toon-nested": 5967, "toon-analytics": 1515, "toon-github": 8745, "csv-tabular": 2337, "csv-nested": 6735, "csv-analytics": 1393, "csv-github": 8513, "xml-tabular": 7314, "xml-nested": 10992, "xml-analytics": 4376, "xml-github": 17095, "yaml-tabular": 4969, "yaml-nested": 7328, "yaml-analytics": 2938, "yaml-github": 13129 }, "timestamp": "2025-10-27T19:35:05.310Z" }