Spaces:
Running
Running
File size: 13,319 Bytes
92ea780 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 |
{ "$schema": "http://json-schema.org/draft-07/schema#",
"version": "instance_level_eval_0.2.0",
"type": "object",
"description": "Schema for storing instance-level evaluation data for LLM evaluations, supporting single-turn, multi-turn, and agentic interactions",
"required": [
"schema_version",
"evaluation_id",
"model_id",
"evaluation_name",
"sample_id",
"interaction_type",
"input",
"answer_attribution",
"evaluation"
],
"additionalProperties": true,
"properties": {
"schema_version": {
"type": "string",
"description": "Version of the schema used for this instance data"
},
"evaluation_id": {
"type": "string",
"description": "Foreign key linking to the aggregate evaluation JSON. Must match the evaluation_id in the aggregate file."
},
"model_id": {
"type": "string",
"description": "Identifier of the model in HuggingFace format (e.g. meta-llama/Llama-3.2-1B-Instruct)"
},
"evaluation_name": {
"type": "string",
"description": "The specific eval name, ideally unique (e.g. GSM8K, mmlu_physics)"
},
"sample_id": {
"type": ["integer", "string"],
"description": "Question/sample identifier from the original dataset (e.g. gsm8k_0001)"
},
"sample_hash": {
"type": "string",
"description": "Hash of (input.raw + input.reference) to ensure comparison is between the same sample across models, in case sample_id is not consistent"
},
"interaction_type": {
"type": "string",
"enum": ["single_turn", "multi_turn", "agentic"],
"description": "Type of interaction: single_turn for simple Q&A, multi_turn for conversations, agentic for tool-using agents"
},
"input": {
"type": "object",
"description": "Input data for the evaluation sample",
"required": ["raw", "reference"],
"properties": {
"raw": {
"type": "string",
"description": "The raw input as defined in the eval"
},
"formatted": {
"type": "string",
"description": "Includes chat template, CoT and all relevant modifications - basically the un-tokenized version of what the model sees"
},
"reference": {
"type": "string",
"description": "Ground truth or reference answer for comparison/scoring"
},
"choices": {
"type": "array",
"description": "Optional list of choices for multiple-choice questions",
"items": {
"type": "string"
}
}
}
},
"output": {
"type": ["object", "null"],
"description": "Output data - only used for single_turn interactions, null for multi_turn/agentic",
"required": ["raw"],
"properties": {
"raw": {
"type": "string",
"description": "Complete model response"
},
"reasoning_trace": {
"type": ["string", "null"],
"description": "Reasoning trace of the model if applicable (e.g. chain-of-thought tokens)"
}
}
},
"interactions": {
"type": ["array", "null"],
"description": "List of interactions - used for multi_turn and agentic, null for single_turn",
"items": {
"type": "object",
"required": ["turn_idx", "role"],
"properties": {
"turn_idx": {
"type": "integer",
"minimum": 0,
"description": "Index starting from 0 indicating the position in the conversation"
},
"role": {
"type": "string",
"description": "Role of the speaker (e.g. user, assistant, system, tool)"
},
"content": {
"type": ["string", "null"],
"description": "The actual raw text for that particular turn (can be null if empty)"
},
"reasoning_trace": {
"type": ["string", "null"],
"description": "Reasoning trace for that particular turn if applicable"
},
"tool_calls": {
"type": ["array", "null"],
"description": "List of tool invocations for this turn, if applicable",
"items": {
"type": "object",
"required": ["id", "name"],
"properties": {
"id": {
"type": "string",
"description": "Unique identifier for the tool call"
},
"name": {
"type": "string",
"description": "Name of tool/function"
},
"arguments": {
"type": "object",
"description": "Arguments used to call the tool",
"additionalProperties": true
}
}
}
},
"tool_call_id": {
"oneOf": [
{
"type": "string",
"description": "Reference to the tool call ID this turn is responding to (for tool role responses)"
},
{
"type": "array",
"description": "Reference to the tool call ID(s) this message has the content payload for.",
"items": {
"type": "string"
}
}
]
}
}
}
},
"answer_attribution": {
"type": "array",
"description": "Information about how the answer was extracted from the model output",
"items": {
"type": "object",
"required": ["turn_idx", "source", "extracted_value", "extraction_method", "is_terminal"],
"properties": {
"turn_idx": {
"type": "integer",
"minimum": 0,
"description": "Turn index in interactions. 0 for single_turn"
},
"source": {
"type": "string",
"description": "Source of the extracted value (e.g. 'output.raw' or 'interactions[turn_idx].content')"
},
"extracted_value": {
"type": "string",
"description": "Value that was extracted"
},
"extraction_method": {
"type": "string",
"description": "Method used to extract the value (e.g. regex, exact_match, llm_judge, custom)"
},
"is_terminal": {
"type": "boolean",
"description": "Whether this is the final answer (false if intermediate outputs are used to build up to a final answer)"
}
}
}
},
"evaluation": {
"type": "object",
"description": "Evaluation results and scoring data",
"required": ["score", "is_correct"],
"properties": {
"score": {
"type": ["number", "boolean"],
"description": "Instance-level score"
},
"is_correct": {
"type": "boolean",
"description": "Whether the final answer is correct"
},
"num_turns": {
"type": "integer",
"minimum": 1,
"description": "Number of turns in the interaction"
},
"tool_calls_count": {
"type": "integer",
"minimum": 0,
"description": "Count of tool calls across all turns in interactions"
}
}
},
"token_usage": {
"type": ["object", "null"],
"description": "Token usage for the model completion",
"required": ["input_tokens", "output_tokens", "total_tokens"],
"properties": {
"input_tokens": {
"type": "integer",
"minimum": 0,
"description": "Total input tokens used"
},
"output_tokens": {
"type": "integer",
"minimum": 0,
"description": "Total output tokens used"
},
"total_tokens": {
"type": "integer",
"minimum": 0,
"description": "Total tokens used"
},
"input_tokens_cache_write": {
"type": ["integer", "null"],
"minimum": 0,
"description": "Number of tokens written to the cache"
},
"input_tokens_cache_read": {
"type": ["integer", "null"],
"minimum": 0,
"description": "Number of tokens retrieved from the cache"
},
"reasoning_tokens": {
"type": ["integer", "null"],
"minimum": 0,
"description": "Number of tokens used for reasoning"
}
}
},
"performance": {
"type": ["object", "null"],
"description": "Performance and latency metrics",
"properties": {
"latency_ms": {
"type": ["number", "null"],
"minimum": 0,
"description": "Total latency in milliseconds"
},
"time_to_first_token_ms": {
"type": ["number", "null"],
"minimum": 0,
"description": "Time to first token in milliseconds"
},
"generation_time_ms": {
"type": ["number", "null"],
"minimum": 0,
"description": "Time for generation in milliseconds"
}
},
"additionalProperties": true
},
"error": {
"type": ["string", "null"],
"description": "Information about any error that occurred (e.g. timeout, refusal, API error)"
},
"metadata": {
"type": "object",
"description": "Optional metadata about the sample (e.g. subject, difficulty, tags)",
"additionalProperties": true
}
},
"allOf": [
{
"if": {
"properties": {
"interaction_type": {
"const": "single_turn"
}
}
},
"then": {
"required": ["output"],
"properties": {
"output": {
"type": "object",
"not": {
"type": "null"
}
},
"interactions": {
"type": "null"
}
}
}
},
{
"if": {
"properties": {
"interaction_type": {
"enum": ["multi_turn", "agentic"]
}
}
},
"then": {
"required": ["interactions"],
"properties": {
"output": {
"type": "null"
},
"interactions": {
"type": "array",
"not": {
"type": "null"
}
},
"metrics": {
"required": ["num_turns"]
}
}
}
}
]
}
|