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data/vals_ai/alibaba/qwen3-max-2026-01-23/32dffcd1-ee56-48ec-ba61-59a283b7168a.json
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"value": 2.4,
|
| 153 |
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"method": "vals_reported"
|
| 154 |
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}
|
| 155 |
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}
|
| 156 |
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},
|
| 157 |
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"generation_config": {
|
| 158 |
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|
| 159 |
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|
| 160 |
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|
| 161 |
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|
| 162 |
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}
|
| 163 |
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}
|
| 164 |
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},
|
| 165 |
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{
|
| 166 |
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"evaluation_result_id": "gpqa:overall:alibaba/qwen3-max-2026-01-23:score",
|
| 167 |
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"evaluation_name": "vals_ai.gpqa.overall",
|
| 168 |
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"source_data": {
|
| 169 |
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"dataset_name": "GPQA Diamond - Overall",
|
| 170 |
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"source_type": "url",
|
| 171 |
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"url": [
|
| 172 |
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"https://www.vals.ai/benchmarks/gpqa"
|
| 173 |
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],
|
| 174 |
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"additional_details": {
|
| 175 |
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"benchmark_slug": "gpqa",
|
| 176 |
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"task_key": "overall",
|
| 177 |
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"dataset_type": "public",
|
| 178 |
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"leaderboard_page_url": "https://www.vals.ai/benchmarks/gpqa"
|
| 179 |
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}
|
| 180 |
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},
|
| 181 |
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"metric_config": {
|
| 182 |
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"evaluation_description": "Accuracy reported by Vals.ai for GPQA Diamond (Overall).",
|
| 183 |
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"metric_id": "vals_ai.gpqa.overall.accuracy",
|
| 184 |
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"metric_name": "Accuracy",
|
| 185 |
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"metric_kind": "accuracy",
|
| 186 |
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"metric_unit": "percent",
|
| 187 |
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"lower_is_better": false,
|
| 188 |
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"score_type": "continuous",
|
| 189 |
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"min_score": 0.0,
|
| 190 |
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"max_score": 100.0,
|
| 191 |
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"additional_details": {
|
| 192 |
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"score_scale": "percent_0_to_100",
|
| 193 |
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"max_score_source": "fixed_percentage_bound",
|
| 194 |
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"leaderboard_page_url": "https://www.vals.ai/benchmarks/gpqa"
|
| 195 |
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}
|
| 196 |
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},
|
| 197 |
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"score_details": {
|
| 198 |
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"score": 84.848,
|
| 199 |
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"details": {
|
| 200 |
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"benchmark_slug": "gpqa",
|
| 201 |
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"benchmark_name": "GPQA Diamond",
|
| 202 |
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"benchmark_updated": "2026-06-17",
|
| 203 |
+
"task_key": "overall",
|
| 204 |
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"task_name": "Overall",
|
| 205 |
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"dataset_type": "public",
|
| 206 |
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"industry": "academic",
|
| 207 |
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"raw_score": "84.848",
|
| 208 |
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"raw_stderr": "1.799",
|
| 209 |
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"latency": "368.073",
|
| 210 |
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"cost_per_test": "0.0741",
|
| 211 |
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"temperature": "0.7",
|
| 212 |
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"max_output_tokens": "32000",
|
| 213 |
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"provider": "Alibaba"
|
| 214 |
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},
|
| 215 |
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"uncertainty": {
|
| 216 |
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"standard_error": {
|
| 217 |
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"value": 1.799,
|
| 218 |
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"method": "vals_reported"
|
| 219 |
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}
|
| 220 |
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}
|
| 221 |
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},
|
| 222 |
+
"generation_config": {
|
| 223 |
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"generation_args": {
|
| 224 |
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"temperature": 0.7,
|
| 225 |
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"max_tokens": 32000,
|
| 226 |
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"max_attempts": 1
|
| 227 |
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}
|
| 228 |
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}
|
| 229 |
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}
|
| 230 |
+
]
|
| 231 |
+
}
|
data/vals_ai/alibaba/qwen3-max-2026-01-23/35350fe8-b3d4-43df-bf47-815561b69070.json
ADDED
|
@@ -0,0 +1,1011 @@
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| 1 |
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| 15 |
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| 24 |
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| 25 |
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| 26 |
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|
| 27 |
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| 28 |
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| 29 |
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| 30 |
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| 31 |
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| 32 |
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| 33 |
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| 34 |
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| 35 |
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| 36 |
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| 37 |
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| 38 |
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| 39 |
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| 40 |
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| 41 |
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| 42 |
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| 44 |
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| 47 |
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| 48 |
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| 49 |
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| 52 |
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| 73 |
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| 74 |
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| 75 |
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| 76 |
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| 121 |
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| 122 |
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| 133 |
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| 142 |
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| 981 |
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| 982 |
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| 983 |
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| 1000 |
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| 1003 |
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|
data/vals_ai/alibaba/qwen3-max-2026-01-23/45fb45ec-d040-4453-a66b-34f425a0117a.json
ADDED
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@@ -0,0 +1,284 @@
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|
| 1 |
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| 217 |
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|
| 218 |
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|
| 219 |
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|
| 220 |
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|
| 221 |
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{
|
| 222 |
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|
| 223 |
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|
| 224 |
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|
| 225 |
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|
| 226 |
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|
| 227 |
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|
| 228 |
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|
| 229 |
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|
| 230 |
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|
| 231 |
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|
| 232 |
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|
| 233 |
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|
| 234 |
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|
| 235 |
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| 236 |
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| 237 |
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| 238 |
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| 239 |
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|
| 240 |
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|
| 241 |
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|
| 242 |
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|
| 243 |
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|
| 244 |
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|
| 245 |
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|
| 246 |
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|
| 247 |
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|
| 248 |
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|
| 249 |
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|
| 250 |
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|
| 251 |
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|
| 252 |
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|
| 253 |
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|
| 254 |
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|
| 255 |
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|
| 256 |
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|
| 257 |
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|
| 258 |
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|
| 259 |
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|
| 260 |
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|
| 261 |
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|
| 262 |
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|
| 263 |
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|
| 264 |
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|
| 265 |
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|
| 266 |
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|
| 267 |
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|
| 268 |
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|
| 269 |
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|
| 270 |
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|
| 271 |
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|
| 272 |
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|
| 273 |
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|
| 274 |
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| 275 |
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|
| 276 |
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|
| 277 |
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|
| 278 |
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|
| 279 |
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|
| 280 |
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|
| 281 |
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|
| 282 |
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|
| 283 |
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|
| 284 |
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}
|
data/vals_ai/alibaba/qwen3-max-2026-01-23/4b5875c3-cbbc-4eed-8454-7590fcde56c2.json
ADDED
|
@@ -0,0 +1,98 @@
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
| 1 |
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|
| 2 |
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|
| 3 |
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| 4 |
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| 5 |
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|
| 6 |
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| 7 |
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| 8 |
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|
| 9 |
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"source_organization_url": "https://www.vals.ai",
|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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| 21 |
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|
| 22 |
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"name": "Vals.ai",
|
| 23 |
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|
| 24 |
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| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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{
|
| 36 |
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| 37 |
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| 38 |
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| 39 |
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| 40 |
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| 41 |
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| 42 |
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| 43 |
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| 44 |
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| 45 |
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| 46 |
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| 47 |
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| 48 |
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| 49 |
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| 53 |
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| 54 |
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| 55 |
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| 57 |
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|
| 58 |
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| 59 |
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| 61 |
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| 62 |
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| 63 |
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| 64 |
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| 65 |
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|
| 66 |
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| 67 |
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"benchmark_slug": "medcode",
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| 68 |
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"benchmark_name": "MedCode",
|
| 69 |
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|
| 70 |
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|
| 71 |
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|
| 72 |
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|
| 73 |
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|
| 74 |
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|
| 75 |
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|
| 76 |
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|
| 77 |
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| 78 |
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|
| 79 |
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| 80 |
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"provider": "Alibaba"
|
| 81 |
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| 82 |
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|
| 83 |
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| 84 |
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|
| 85 |
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| 86 |
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| 87 |
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|
| 88 |
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| 89 |
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|
| 90 |
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| 91 |
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| 92 |
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| 94 |
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|
| 95 |
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|
| 96 |
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|
| 97 |
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| 98 |
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|
data/vals_ai/alibaba/qwen3-max-2026-01-23/5eabdabc-1a75-4fb4-a316-81308a09a784.json
ADDED
|
@@ -0,0 +1,231 @@
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|
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|
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|
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|
| 1 |
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{
|
| 2 |
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|
| 3 |
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| 4 |
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| 5 |
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|
| 6 |
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|
| 7 |
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| 8 |
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|
| 9 |
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| 13 |
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|
| 14 |
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|
| 15 |
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|
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|
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|
| 18 |
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|
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|
| 22 |
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|
| 23 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
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|
| 29 |
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|
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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|
| 39 |
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| 40 |
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| 56 |
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|
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data/vals_ai/alibaba/qwen3-max-2026-01-23/9f459a23-568d-4f67-a859-d7763ac9e2d6.json
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@@ -0,0 +1,296 @@
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data/vals_ai/alibaba/qwen3-max-2026-01-23/c4fc03d7-5b30-4688-b1b8-74cc7d6179ca.json
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@@ -0,0 +1,98 @@
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data/vals_ai/alibaba/qwen3-max-2026-01-23/f78ee661-06f1-4b46-86dd-3b2883f51302.json
ADDED
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@@ -0,0 +1,98 @@
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|
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|
|
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|
|
|
|
|
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|
|
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|
|
|
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|
|
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|
|
|
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|
|
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|
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|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
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| 2 |
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|
| 3 |
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| 5 |
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| 7 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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| 12 |
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|
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|
| 14 |
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|
| 15 |
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| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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| 21 |
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|
| 22 |
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|
| 23 |
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| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
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| 38 |
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| 39 |
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| 40 |
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|
| 41 |
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| 42 |
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|
| 43 |
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| 44 |
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|
| 45 |
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| 46 |
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| 48 |
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| 49 |
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|
| 55 |
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| 57 |
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|
| 58 |
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|
| 59 |
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| 61 |
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| 62 |
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| 64 |
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| 65 |
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|
| 66 |
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|
| 67 |
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|
| 68 |
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|
| 69 |
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|
| 70 |
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|
| 71 |
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|
| 72 |
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| 73 |
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| 74 |
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| 75 |
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| 87 |
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| 90 |
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| 94 |
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| 98 |
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|
data/vals_ai/alibaba/qwen3-max-preview/00cb15bb-1799-470e-b8a8-03e7f9e95d48.json
ADDED
|
@@ -0,0 +1,231 @@
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|
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|
|
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|
|
|
|
|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
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|
|
|
|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
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|
|
|
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|
|
|
|
|
|
|
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|
|
|
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|
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|
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|
|
|
|
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|
|
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|
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|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
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|
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|
|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
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|
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|
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|
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|
| 1 |
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| 2 |
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|
| 3 |
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| 18 |
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| 22 |
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| 26 |
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| 27 |
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data/vals_ai/alibaba/qwen3-max-preview/0f64fd1e-458a-4425-b774-df435c030932.json
ADDED
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@@ -0,0 +1,231 @@
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data/vals_ai/alibaba/qwen3-max-preview/24fb7aa8-ce22-42f5-a562-33021beb8037.json
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data/vals_ai/alibaba/qwen3-max-preview/4a4d9795-a29a-4a85-852a-383bf5bece09.json
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@@ -0,0 +1,284 @@
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| 1 |
+
{
|
| 2 |
+
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|
| 3 |
+
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|
| 4 |
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"retrieved_timestamp": "1782803047.6575806",
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| 5 |
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| 7 |
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| 8 |
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|
| 9 |
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| 10 |
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|
| 11 |
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|
| 12 |
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"benchmark_slug": "corp_fin_v2",
|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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"name": "qwen3-max-preview",
|
| 27 |
+
"id": "alibaba/qwen3-max-preview",
|
| 28 |
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|
| 29 |
+
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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{
|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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"dataset_name": "CorpFin v2 - Exact Pages",
|
| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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|
| 45 |
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| 46 |
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| 47 |
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| 48 |
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| 49 |
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| 50 |
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|
| 51 |
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| 52 |
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| 53 |
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| 54 |
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| 55 |
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| 56 |
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|
| 57 |
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|
| 58 |
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| 59 |
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| 60 |
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| 61 |
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| 62 |
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| 63 |
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| 64 |
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| 65 |
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| 66 |
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| 67 |
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| 68 |
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| 69 |
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|
| 70 |
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|
| 71 |
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|
| 72 |
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|
| 73 |
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|
| 74 |
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|
| 75 |
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|
| 76 |
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|
| 77 |
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| 78 |
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| 79 |
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|
| 80 |
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|
| 81 |
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|
| 82 |
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|
| 83 |
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|
| 84 |
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|
| 85 |
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|
| 86 |
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|
| 87 |
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|
| 88 |
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| 89 |
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| 90 |
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| 91 |
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| 92 |
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| 93 |
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| 94 |
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| 95 |
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|
| 96 |
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|
| 97 |
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|
| 98 |
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| 99 |
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|
| 100 |
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|
| 101 |
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| 102 |
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| 103 |
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| 104 |
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| 105 |
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| 106 |
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| 107 |
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| 108 |
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| 109 |
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| 110 |
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| 111 |
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| 112 |
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| 113 |
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| 114 |
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|
| 115 |
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| 116 |
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| 117 |
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|
| 118 |
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| 119 |
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| 120 |
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| 121 |
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| 122 |
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| 123 |
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| 124 |
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|
| 125 |
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|
| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
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| 130 |
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|
| 131 |
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| 132 |
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|
| 133 |
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| 134 |
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| 135 |
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| 136 |
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| 137 |
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| 138 |
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| 139 |
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| 140 |
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| 141 |
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| 142 |
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| 143 |
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| 144 |
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| 145 |
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| 146 |
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| 147 |
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| 148 |
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| 149 |
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| 150 |
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| 151 |
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| 152 |
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| 156 |
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| 157 |
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| 158 |
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|
| 159 |
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|
| 160 |
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| 161 |
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|
| 162 |
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|
| 163 |
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| 164 |
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| 165 |
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| 166 |
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| 167 |
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| 168 |
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| 169 |
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| 170 |
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| 171 |
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| 172 |
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| 173 |
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| 174 |
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| 175 |
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| 176 |
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| 177 |
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| 178 |
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| 179 |
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| 180 |
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| 181 |
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| 182 |
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| 183 |
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| 186 |
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| 187 |
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| 188 |
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| 189 |
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| 190 |
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| 191 |
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| 192 |
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| 193 |
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| 194 |
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| 195 |
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| 196 |
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| 197 |
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| 198 |
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| 200 |
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| 201 |
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| 202 |
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| 203 |
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| 210 |
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| 218 |
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| 221 |
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| 222 |
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| 223 |
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| 224 |
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| 225 |
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| 226 |
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| 231 |
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| 232 |
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| 233 |
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| 234 |
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| 235 |
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| 236 |
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| 257 |
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| 258 |
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| 259 |
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| 260 |
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| 276 |
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|
data/vals_ai/alibaba/qwen3-max-preview/831ac509-d983-4d92-bd1d-9aa6912759e0.json
ADDED
|
@@ -0,0 +1,225 @@
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| 1 |
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| 18 |
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|
| 225 |
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}
|
data/vals_ai/alibaba/qwen3-max-preview/b109eed4-02f5-425f-9e0e-7b6e88b93324.json
ADDED
|
@@ -0,0 +1,296 @@
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|
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| 1 |
+
{
|
| 2 |
+
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|
| 3 |
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|
| 4 |
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| 5 |
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| 9 |
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| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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| 17 |
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|
| 18 |
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|
| 19 |
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| 20 |
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| 21 |
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| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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"id": "alibaba/qwen3-max-preview",
|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
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| 44 |
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| 45 |
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| 46 |
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| 47 |
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| 48 |
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| 49 |
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| 50 |
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| 51 |
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| 52 |
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| 53 |
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| 54 |
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| 55 |
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| 56 |
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| 57 |
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| 58 |
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| 59 |
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| 60 |
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| 61 |
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| 62 |
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| 63 |
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| 64 |
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| 65 |
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| 66 |
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| 67 |
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| 68 |
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|
| 69 |
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|
| 70 |
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|
| 71 |
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|
| 72 |
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| 73 |
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|
| 74 |
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|
| 75 |
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| 76 |
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|
| 77 |
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|
| 78 |
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|
| 79 |
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|
| 80 |
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|
| 81 |
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| 82 |
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| 83 |
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|
| 84 |
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| 85 |
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|
| 86 |
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|
| 87 |
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|
| 88 |
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| 89 |
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| 90 |
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|
| 91 |
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| 92 |
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| 93 |
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| 94 |
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| 95 |
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| 96 |
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| 97 |
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| 99 |
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| 100 |
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|
| 101 |
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|
| 102 |
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| 103 |
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| 104 |
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| 105 |
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| 106 |
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| 107 |
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| 108 |
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| 109 |
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| 110 |
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| 111 |
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| 112 |
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| 113 |
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| 114 |
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| 115 |
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| 116 |
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| 117 |
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| 118 |
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|
| 119 |
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|
| 120 |
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| 121 |
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| 122 |
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| 123 |
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| 124 |
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| 125 |
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| 126 |
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| 127 |
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| 128 |
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| 129 |
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|
| 130 |
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|
| 131 |
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| 132 |
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|
| 133 |
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|
| 134 |
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|
| 135 |
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| 136 |
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|
| 137 |
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| 138 |
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| 139 |
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| 140 |
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| 141 |
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| 142 |
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| 143 |
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| 144 |
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| 146 |
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| 147 |
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| 148 |
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| 149 |
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| 151 |
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| 152 |
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| 153 |
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| 154 |
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| 155 |
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| 156 |
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| 157 |
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| 159 |
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| 162 |
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| 163 |
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| 164 |
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| 165 |
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|
| 166 |
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| 167 |
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| 168 |
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| 169 |
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|
| 170 |
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| 171 |
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|
| 172 |
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| 173 |
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| 174 |
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| 175 |
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| 176 |
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| 177 |
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| 178 |
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| 179 |
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| 180 |
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| 181 |
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| 182 |
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| 183 |
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| 184 |
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| 185 |
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| 186 |
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| 187 |
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| 188 |
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| 189 |
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| 190 |
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| 191 |
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| 192 |
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| 194 |
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| 195 |
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| 196 |
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| 197 |
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| 198 |
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| 199 |
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| 200 |
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| 201 |
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| 202 |
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| 203 |
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| 204 |
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| 205 |
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| 206 |
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| 207 |
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| 212 |
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| 219 |
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| 223 |
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| 230 |
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| 231 |
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| 232 |
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| 233 |
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| 234 |
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| 235 |
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| 236 |
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| 237 |
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| 242 |
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| 243 |
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| 244 |
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| 246 |
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| 247 |
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|
| 264 |
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| 265 |
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| 266 |
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| 267 |
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| 269 |
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| 270 |
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|
| 271 |
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| 277 |
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|
| 284 |
+
}
|
| 285 |
+
}
|
| 286 |
+
},
|
| 287 |
+
"generation_config": {
|
| 288 |
+
"generation_args": {
|
| 289 |
+
"temperature": 0.7,
|
| 290 |
+
"max_tokens": 32000,
|
| 291 |
+
"max_attempts": 1
|
| 292 |
+
}
|
| 293 |
+
}
|
| 294 |
+
}
|
| 295 |
+
]
|
| 296 |
+
}
|
data/vals_ai/alibaba/qwen3-max-preview/bbba969d-fd8c-49c3-81f6-ac741bbdbc15.json
ADDED
|
@@ -0,0 +1,816 @@
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|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "vals-ai/mgsm/alibaba_qwen3-max-preview/1782803047.6575806",
|
| 4 |
+
"retrieved_timestamp": "1782803047.6575806",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "Vals.ai Leaderboard - MGSM",
|
| 7 |
+
"source_type": "documentation",
|
| 8 |
+
"source_organization_name": "Vals.ai",
|
| 9 |
+
"source_organization_url": "https://www.vals.ai",
|
| 10 |
+
"evaluator_relationship": "third_party",
|
| 11 |
+
"additional_details": {
|
| 12 |
+
"benchmark_slug": "mgsm",
|
| 13 |
+
"benchmark_name": "MGSM",
|
| 14 |
+
"benchmark_updated": "2026-01-09",
|
| 15 |
+
"dataset_type": "public",
|
| 16 |
+
"industry": "math",
|
| 17 |
+
"leaderboard_page_url": "https://www.vals.ai/benchmarks/mgsm",
|
| 18 |
+
"extraction_method": "static_astro_benchmark_view_props"
|
| 19 |
+
}
|
| 20 |
+
},
|
| 21 |
+
"eval_library": {
|
| 22 |
+
"name": "Vals.ai",
|
| 23 |
+
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|
| 778 |
+
"max_score_source": "fixed_percentage_bound",
|
| 779 |
+
"leaderboard_page_url": "https://www.vals.ai/benchmarks/mgsm"
|
| 780 |
+
}
|
| 781 |
+
},
|
| 782 |
+
"score_details": {
|
| 783 |
+
"score": 92.146,
|
| 784 |
+
"details": {
|
| 785 |
+
"benchmark_slug": "mgsm",
|
| 786 |
+
"benchmark_name": "MGSM",
|
| 787 |
+
"benchmark_updated": "2026-01-09",
|
| 788 |
+
"task_key": "overall",
|
| 789 |
+
"task_name": "Overall",
|
| 790 |
+
"dataset_type": "public",
|
| 791 |
+
"industry": "math",
|
| 792 |
+
"raw_score": "92.146",
|
| 793 |
+
"raw_stderr": "1.644",
|
| 794 |
+
"latency": "21.159",
|
| 795 |
+
"cost_per_test": "0.002344",
|
| 796 |
+
"temperature": "0.7",
|
| 797 |
+
"max_output_tokens": "32000",
|
| 798 |
+
"provider": "Alibaba"
|
| 799 |
+
},
|
| 800 |
+
"uncertainty": {
|
| 801 |
+
"standard_error": {
|
| 802 |
+
"value": 1.644,
|
| 803 |
+
"method": "vals_reported"
|
| 804 |
+
}
|
| 805 |
+
}
|
| 806 |
+
},
|
| 807 |
+
"generation_config": {
|
| 808 |
+
"generation_args": {
|
| 809 |
+
"temperature": 0.7,
|
| 810 |
+
"max_tokens": 32000,
|
| 811 |
+
"max_attempts": 1
|
| 812 |
+
}
|
| 813 |
+
}
|
| 814 |
+
}
|
| 815 |
+
]
|
| 816 |
+
}
|
data/vals_ai/alibaba/qwen3-max-preview/c32712ca-b284-4fba-a536-25924c75da5f.json
ADDED
|
@@ -0,0 +1,1011 @@
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data/vals_ai/alibaba/qwen3-max-preview/e802249e-6580-43c0-8320-25d9047ac045.json
ADDED
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|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "vals-ai/legal_bench/alibaba_qwen3-max-preview/1782803047.6575806",
|
| 4 |
+
"retrieved_timestamp": "1782803047.6575806",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "Vals.ai Leaderboard - LegalBench",
|
| 7 |
+
"source_type": "documentation",
|
| 8 |
+
"source_organization_name": "Vals.ai",
|
| 9 |
+
"source_organization_url": "https://www.vals.ai",
|
| 10 |
+
"evaluator_relationship": "third_party",
|
| 11 |
+
"additional_details": {
|
| 12 |
+
"benchmark_slug": "legal_bench",
|
| 13 |
+
"benchmark_name": "LegalBench",
|
| 14 |
+
"benchmark_updated": "2026-06-17",
|
| 15 |
+
"dataset_type": "public",
|
| 16 |
+
"industry": "legal",
|
| 17 |
+
"leaderboard_page_url": "https://www.vals.ai/benchmarks/legal_bench",
|
| 18 |
+
"extraction_method": "static_astro_benchmark_view_props"
|
| 19 |
+
}
|
| 20 |
+
},
|
| 21 |
+
"eval_library": {
|
| 22 |
+
"name": "Vals.ai",
|
| 23 |
+
"version": "unknown"
|
| 24 |
+
},
|
| 25 |
+
"model_info": {
|
| 26 |
+
"name": "qwen3-max-preview",
|
| 27 |
+
"id": "alibaba/qwen3-max-preview",
|
| 28 |
+
"developer": "alibaba",
|
| 29 |
+
"additional_details": {
|
| 30 |
+
"vals_model_id": "alibaba/qwen3-max-preview",
|
| 31 |
+
"vals_provider": "Alibaba"
|
| 32 |
+
}
|
| 33 |
+
},
|
| 34 |
+
"evaluation_results": [
|
| 35 |
+
{
|
| 36 |
+
"evaluation_result_id": "legal_bench:conclusion_tasks:alibaba/qwen3-max-preview:score",
|
| 37 |
+
"evaluation_name": "vals_ai.legal_bench.conclusion_tasks",
|
| 38 |
+
"source_data": {
|
| 39 |
+
"dataset_name": "LegalBench - Conclusion Tasks",
|
| 40 |
+
"source_type": "url",
|
| 41 |
+
"url": [
|
| 42 |
+
"https://www.vals.ai/benchmarks/legal_bench"
|
| 43 |
+
],
|
| 44 |
+
"additional_details": {
|
| 45 |
+
"benchmark_slug": "legal_bench",
|
| 46 |
+
"task_key": "conclusion_tasks",
|
| 47 |
+
"dataset_type": "public",
|
| 48 |
+
"leaderboard_page_url": "https://www.vals.ai/benchmarks/legal_bench"
|
| 49 |
+
}
|
| 50 |
+
},
|
| 51 |
+
"metric_config": {
|
| 52 |
+
"evaluation_description": "Accuracy reported by Vals.ai for LegalBench (Conclusion Tasks).",
|
| 53 |
+
"metric_id": "vals_ai.legal_bench.conclusion_tasks.accuracy",
|
| 54 |
+
"metric_name": "Accuracy",
|
| 55 |
+
"metric_kind": "accuracy",
|
| 56 |
+
"metric_unit": "percent",
|
| 57 |
+
"lower_is_better": false,
|
| 58 |
+
"score_type": "continuous",
|
| 59 |
+
"min_score": 0.0,
|
| 60 |
+
"max_score": 100.0,
|
| 61 |
+
"additional_details": {
|
| 62 |
+
"score_scale": "percent_0_to_100",
|
| 63 |
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"max_score_source": "fixed_percentage_bound",
|
| 64 |
+
"leaderboard_page_url": "https://www.vals.ai/benchmarks/legal_bench"
|
| 65 |
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}
|
| 66 |
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|
| 67 |
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|
| 68 |
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"score": 84.999,
|
| 69 |
+
"details": {
|
| 70 |
+
"benchmark_slug": "legal_bench",
|
| 71 |
+
"benchmark_name": "LegalBench",
|
| 72 |
+
"benchmark_updated": "2026-06-17",
|
| 73 |
+
"task_key": "conclusion_tasks",
|
| 74 |
+
"task_name": "Conclusion Tasks",
|
| 75 |
+
"dataset_type": "public",
|
| 76 |
+
"industry": "legal",
|
| 77 |
+
"raw_score": "84.999",
|
| 78 |
+
"raw_stderr": "0.861",
|
| 79 |
+
"latency": "1.451",
|
| 80 |
+
"temperature": "0.7",
|
| 81 |
+
"max_output_tokens": "65536",
|
| 82 |
+
"provider": "Alibaba"
|
| 83 |
+
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|
| 84 |
+
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|
| 85 |
+
"standard_error": {
|
| 86 |
+
"value": 0.861,
|
| 87 |
+
"method": "vals_reported"
|
| 88 |
+
}
|
| 89 |
+
}
|
| 90 |
+
},
|
| 91 |
+
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|
| 92 |
+
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|
| 93 |
+
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|
| 94 |
+
"max_tokens": 65536,
|
| 95 |
+
"max_attempts": 1
|
| 96 |
+
}
|
| 97 |
+
}
|
| 98 |
+
},
|
| 99 |
+
{
|
| 100 |
+
"evaluation_result_id": "legal_bench:interpretation_tasks:alibaba/qwen3-max-preview:score",
|
| 101 |
+
"evaluation_name": "vals_ai.legal_bench.interpretation_tasks",
|
| 102 |
+
"source_data": {
|
| 103 |
+
"dataset_name": "LegalBench - Interpretation Tasks",
|
| 104 |
+
"source_type": "url",
|
| 105 |
+
"url": [
|
| 106 |
+
"https://www.vals.ai/benchmarks/legal_bench"
|
| 107 |
+
],
|
| 108 |
+
"additional_details": {
|
| 109 |
+
"benchmark_slug": "legal_bench",
|
| 110 |
+
"task_key": "interpretation_tasks",
|
| 111 |
+
"dataset_type": "public",
|
| 112 |
+
"leaderboard_page_url": "https://www.vals.ai/benchmarks/legal_bench"
|
| 113 |
+
}
|
| 114 |
+
},
|
| 115 |
+
"metric_config": {
|
| 116 |
+
"evaluation_description": "Accuracy reported by Vals.ai for LegalBench (Interpretation Tasks).",
|
| 117 |
+
"metric_id": "vals_ai.legal_bench.interpretation_tasks.accuracy",
|
| 118 |
+
"metric_name": "Accuracy",
|
| 119 |
+
"metric_kind": "accuracy",
|
| 120 |
+
"metric_unit": "percent",
|
| 121 |
+
"lower_is_better": false,
|
| 122 |
+
"score_type": "continuous",
|
| 123 |
+
"min_score": 0.0,
|
| 124 |
+
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|
| 125 |
+
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|
| 126 |
+
"score_scale": "percent_0_to_100",
|
| 127 |
+
"max_score_source": "fixed_percentage_bound",
|
| 128 |
+
"leaderboard_page_url": "https://www.vals.ai/benchmarks/legal_bench"
|
| 129 |
+
}
|
| 130 |
+
},
|
| 131 |
+
"score_details": {
|
| 132 |
+
"score": 78.058,
|
| 133 |
+
"details": {
|
| 134 |
+
"benchmark_slug": "legal_bench",
|
| 135 |
+
"benchmark_name": "LegalBench",
|
| 136 |
+
"benchmark_updated": "2026-06-17",
|
| 137 |
+
"task_key": "interpretation_tasks",
|
| 138 |
+
"task_name": "Interpretation Tasks",
|
| 139 |
+
"dataset_type": "public",
|
| 140 |
+
"industry": "legal",
|
| 141 |
+
"raw_score": "78.058",
|
| 142 |
+
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|
| 143 |
+
"latency": "1.54",
|
| 144 |
+
"temperature": "0.7",
|
| 145 |
+
"max_output_tokens": "65536",
|
| 146 |
+
"provider": "Alibaba"
|
| 147 |
+
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|
| 148 |
+
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|
| 149 |
+
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|
| 150 |
+
"value": 0.205,
|
| 151 |
+
"method": "vals_reported"
|
| 152 |
+
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|
| 153 |
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|
| 154 |
+
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|
| 155 |
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|
| 156 |
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|
| 157 |
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"temperature": 0.7,
|
| 158 |
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|
| 159 |
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|
| 160 |
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|
| 161 |
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|
| 162 |
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|
| 163 |
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{
|
| 164 |
+
"evaluation_result_id": "legal_bench:issue_tasks:alibaba/qwen3-max-preview:score",
|
| 165 |
+
"evaluation_name": "vals_ai.legal_bench.issue_tasks",
|
| 166 |
+
"source_data": {
|
| 167 |
+
"dataset_name": "LegalBench - Issue Tasks",
|
| 168 |
+
"source_type": "url",
|
| 169 |
+
"url": [
|
| 170 |
+
"https://www.vals.ai/benchmarks/legal_bench"
|
| 171 |
+
],
|
| 172 |
+
"additional_details": {
|
| 173 |
+
"benchmark_slug": "legal_bench",
|
| 174 |
+
"task_key": "issue_tasks",
|
| 175 |
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"dataset_type": "public",
|
| 176 |
+
"leaderboard_page_url": "https://www.vals.ai/benchmarks/legal_bench"
|
| 177 |
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|
| 178 |
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},
|
| 179 |
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"metric_config": {
|
| 180 |
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"evaluation_description": "Accuracy reported by Vals.ai for LegalBench (Issue Tasks).",
|
| 181 |
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"metric_id": "vals_ai.legal_bench.issue_tasks.accuracy",
|
| 182 |
+
"metric_name": "Accuracy",
|
| 183 |
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|
| 184 |
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|
| 185 |
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|
| 186 |
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|
| 187 |
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|
| 188 |
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|
| 189 |
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|
| 190 |
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|
| 191 |
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|
| 192 |
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"leaderboard_page_url": "https://www.vals.ai/benchmarks/legal_bench"
|
| 193 |
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|
| 194 |
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},
|
| 195 |
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|
| 196 |
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"score": 79.509,
|
| 197 |
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"details": {
|
| 198 |
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"benchmark_slug": "legal_bench",
|
| 199 |
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"benchmark_name": "LegalBench",
|
| 200 |
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"benchmark_updated": "2026-06-17",
|
| 201 |
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"task_key": "issue_tasks",
|
| 202 |
+
"task_name": "Issue Tasks",
|
| 203 |
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"dataset_type": "public",
|
| 204 |
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"industry": "legal",
|
| 205 |
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"raw_score": "79.509",
|
| 206 |
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|
| 207 |
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"latency": "1.558",
|
| 208 |
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"temperature": "0.7",
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| 209 |
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|
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|
data/vals_ai/alibaba/qwen3-max-preview/fe1ccc64-4b19-44f3-b239-c97e51284eea.json
ADDED
|
@@ -0,0 +1,491 @@
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data/vals_ai/alibaba/qwen3-max/31730408-0cdf-4b6d-aad7-760b048a511f.json
ADDED
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@@ -0,0 +1,231 @@
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data/vals_ai/alibaba/qwen3-max/3a3038c7-0517-4f41-ba4b-b867d400ceb1.json
ADDED
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@@ -0,0 +1,296 @@
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data/vals_ai/alibaba/qwen3-max/4d55a5cb-1661-4a3e-9d88-f246893a658b.json
ADDED
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@@ -0,0 +1,225 @@
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"benchmark_slug": "aime",
|
| 134 |
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"benchmark_name": "AIME",
|
| 135 |
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"benchmark_updated": "2026-04-16",
|
| 136 |
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"task_key": "aime_2025",
|
| 137 |
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"task_name": "AIME 2025",
|
| 138 |
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"dataset_type": "public",
|
| 139 |
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"industry": "math",
|
| 140 |
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"raw_score": "76.25",
|
| 141 |
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"raw_stderr": "1.83",
|
| 142 |
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"latency": "18.362",
|
| 143 |
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"cost_per_test": "0.035612",
|
| 144 |
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"temperature": "0.7",
|
| 145 |
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"provider": "Alibaba"
|
| 146 |
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},
|
| 147 |
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"uncertainty": {
|
| 148 |
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"standard_error": {
|
| 149 |
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"value": 1.83,
|
| 150 |
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"method": "vals_reported"
|
| 151 |
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}
|
| 152 |
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}
|
| 153 |
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},
|
| 154 |
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"generation_config": {
|
| 155 |
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"generation_args": {
|
| 156 |
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"temperature": 0.7,
|
| 157 |
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"max_attempts": 1
|
| 158 |
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}
|
| 159 |
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}
|
| 160 |
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},
|
| 161 |
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{
|
| 162 |
+
"evaluation_result_id": "aime:overall:alibaba/qwen3-max:score",
|
| 163 |
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"evaluation_name": "vals_ai.aime.overall",
|
| 164 |
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"source_data": {
|
| 165 |
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"dataset_name": "AIME - Overall",
|
| 166 |
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"source_type": "url",
|
| 167 |
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"url": [
|
| 168 |
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"https://www.vals.ai/benchmarks/aime"
|
| 169 |
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],
|
| 170 |
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"additional_details": {
|
| 171 |
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"benchmark_slug": "aime",
|
| 172 |
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"task_key": "overall",
|
| 173 |
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"dataset_type": "public",
|
| 174 |
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"leaderboard_page_url": "https://www.vals.ai/benchmarks/aime"
|
| 175 |
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}
|
| 176 |
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},
|
| 177 |
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"metric_config": {
|
| 178 |
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"evaluation_description": "Accuracy reported by Vals.ai for AIME (Overall).",
|
| 179 |
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"metric_id": "vals_ai.aime.overall.accuracy",
|
| 180 |
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"metric_name": "Accuracy",
|
| 181 |
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"metric_kind": "accuracy",
|
| 182 |
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"metric_unit": "percent",
|
| 183 |
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"lower_is_better": false,
|
| 184 |
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"score_type": "continuous",
|
| 185 |
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"min_score": 0.0,
|
| 186 |
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"max_score": 100.0,
|
| 187 |
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"additional_details": {
|
| 188 |
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"score_scale": "percent_0_to_100",
|
| 189 |
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"max_score_source": "fixed_percentage_bound",
|
| 190 |
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"leaderboard_page_url": "https://www.vals.ai/benchmarks/aime"
|
| 191 |
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}
|
| 192 |
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},
|
| 193 |
+
"score_details": {
|
| 194 |
+
"score": 81.042,
|
| 195 |
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"details": {
|
| 196 |
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"benchmark_slug": "aime",
|
| 197 |
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"benchmark_name": "AIME",
|
| 198 |
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"benchmark_updated": "2026-04-16",
|
| 199 |
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"task_key": "overall",
|
| 200 |
+
"task_name": "Overall",
|
| 201 |
+
"dataset_type": "public",
|
| 202 |
+
"industry": "math",
|
| 203 |
+
"raw_score": "81.042",
|
| 204 |
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"raw_stderr": "1.1",
|
| 205 |
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"latency": "16.76",
|
| 206 |
+
"cost_per_test": "0.033364",
|
| 207 |
+
"temperature": "0.7",
|
| 208 |
+
"provider": "Alibaba"
|
| 209 |
+
},
|
| 210 |
+
"uncertainty": {
|
| 211 |
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"standard_error": {
|
| 212 |
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"value": 1.1,
|
| 213 |
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"method": "vals_reported"
|
| 214 |
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}
|
| 215 |
+
}
|
| 216 |
+
},
|
| 217 |
+
"generation_config": {
|
| 218 |
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"generation_args": {
|
| 219 |
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"temperature": 0.7,
|
| 220 |
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"max_attempts": 1
|
| 221 |
+
}
|
| 222 |
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}
|
| 223 |
+
}
|
| 224 |
+
]
|
| 225 |
+
}
|
data/vals_ai/alibaba/qwen3-max/4d804b92-7188-4361-aa91-59eecb03092e.json
ADDED
|
@@ -0,0 +1,1011 @@
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| 1 |
+
{
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| 2 |
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|
| 3 |
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| 9 |
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| 11 |
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| 12 |
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| 13 |
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| 14 |
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| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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| 20 |
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| 21 |
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| 22 |
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| 23 |
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|
| 24 |
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| 25 |
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|
| 26 |
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"name": "qwen3-max",
|
| 27 |
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"id": "alibaba/qwen3-max",
|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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| 41 |
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|
| 42 |
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|
| 43 |
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| 44 |
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| 45 |
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| 46 |
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| 47 |
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| 48 |
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| 49 |
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| 50 |
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| 51 |
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| 52 |
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| 53 |
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| 54 |
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| 55 |
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| 56 |
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| 57 |
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| 58 |
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|
| 60 |
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| 61 |
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| 70 |
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| 71 |
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| 72 |
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| 73 |
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| 74 |
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| 75 |
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| 76 |
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| 77 |
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| 78 |
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| 81 |
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|
| 84 |
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| 85 |
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| 86 |
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|
| 87 |
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| 88 |
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| 89 |
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| 90 |
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| 91 |
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| 99 |
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| 100 |
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|
| 101 |
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| 102 |
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| 103 |
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| 104 |
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| 105 |
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| 107 |
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| 108 |
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| 111 |
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| 112 |
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| 113 |
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| 114 |
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| 115 |
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| 116 |
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| 117 |
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| 118 |
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| 119 |
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| 120 |
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| 121 |
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| 122 |
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| 123 |
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| 124 |
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| 125 |
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| 126 |
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| 127 |
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| 129 |
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| 130 |
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| 131 |
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| 132 |
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| 133 |
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| 134 |
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| 135 |
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| 136 |
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| 137 |
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| 138 |
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| 139 |
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| 140 |
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| 141 |
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| 142 |
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| 144 |
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| 145 |
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| 149 |
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| 152 |
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| 154 |
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| 166 |
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| 167 |
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| 168 |
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| 169 |
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| 170 |
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| 171 |
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| 172 |
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| 184 |
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| 186 |
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| 194 |
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| 195 |
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| 203 |
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| 205 |
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| 207 |
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| 977 |
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|
| 978 |
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"score": 84.812,
|
| 979 |
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|
| 980 |
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|
| 981 |
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| 982 |
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|
| 983 |
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| 984 |
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| 985 |
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| 986 |
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| 987 |
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| 988 |
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| 989 |
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| 990 |
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| 991 |
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"temperature": "0.7",
|
| 992 |
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"max_output_tokens": "64000",
|
| 993 |
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"provider": "Alibaba"
|
| 994 |
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|
| 995 |
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| 996 |
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|
| 997 |
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"value": 1.251,
|
| 998 |
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"method": "vals_reported"
|
| 999 |
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|
| 1000 |
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}
|
| 1001 |
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},
|
| 1002 |
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"generation_config": {
|
| 1003 |
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"generation_args": {
|
| 1004 |
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"temperature": 0.7,
|
| 1005 |
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"max_tokens": 64000,
|
| 1006 |
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"max_attempts": 1
|
| 1007 |
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|
| 1008 |
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|
| 1009 |
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|
| 1010 |
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|
| 1011 |
+
}
|
data/vals_ai/alibaba/qwen3-max/62f1af2d-cf10-4478-997c-20df4a6d380c.json
ADDED
|
@@ -0,0 +1,491 @@
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|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
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"evaluation_id": "vals-ai/medqa/alibaba_qwen3-max/1782803047.6575806",
|
| 4 |
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"retrieved_timestamp": "1782803047.6575806",
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| 5 |
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"source_metadata": {
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| 6 |
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"source_name": "Vals.ai Leaderboard - MedQA",
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| 7 |
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"source_type": "documentation",
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| 8 |
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"source_organization_name": "Vals.ai",
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| 9 |
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"source_organization_url": "https://www.vals.ai",
|
| 10 |
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"evaluator_relationship": "third_party",
|
| 11 |
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"additional_details": {
|
| 12 |
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"benchmark_slug": "medqa",
|
| 13 |
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"benchmark_name": "MedQA",
|
| 14 |
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"benchmark_updated": "2026-04-16",
|
| 15 |
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"dataset_type": "public",
|
| 16 |
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"industry": "healthcare",
|
| 17 |
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"leaderboard_page_url": "https://www.vals.ai/benchmarks/medqa",
|
| 18 |
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"extraction_method": "static_astro_benchmark_view_props"
|
| 19 |
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}
|
| 20 |
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},
|
| 21 |
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"eval_library": {
|
| 22 |
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"name": "Vals.ai",
|
| 23 |
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"version": "unknown"
|
| 24 |
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},
|
| 25 |
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"model_info": {
|
| 26 |
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"name": "qwen3-max",
|
| 27 |
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"id": "alibaba/qwen3-max",
|
| 28 |
+
"developer": "alibaba",
|
| 29 |
+
"additional_details": {
|
| 30 |
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"vals_model_id": "alibaba/qwen3-max",
|
| 31 |
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"vals_provider": "Alibaba"
|
| 32 |
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}
|
| 33 |
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},
|
| 34 |
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"evaluation_results": [
|
| 35 |
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{
|
| 36 |
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"evaluation_result_id": "medqa:asian:alibaba/qwen3-max:score",
|
| 37 |
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"evaluation_name": "vals_ai.medqa.asian",
|
| 38 |
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"source_data": {
|
| 39 |
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"dataset_name": "MedQA - Asian",
|
| 40 |
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"source_type": "url",
|
| 41 |
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"url": [
|
| 42 |
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"https://www.vals.ai/benchmarks/medqa"
|
| 43 |
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],
|
| 44 |
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"additional_details": {
|
| 45 |
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"benchmark_slug": "medqa",
|
| 46 |
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"task_key": "asian",
|
| 47 |
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"dataset_type": "public",
|
| 48 |
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"leaderboard_page_url": "https://www.vals.ai/benchmarks/medqa"
|
| 49 |
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}
|
| 50 |
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},
|
| 51 |
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"metric_config": {
|
| 52 |
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"evaluation_description": "Accuracy reported by Vals.ai for MedQA (Asian).",
|
| 53 |
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"metric_id": "vals_ai.medqa.asian.accuracy",
|
| 54 |
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"metric_name": "Accuracy",
|
| 55 |
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"metric_kind": "accuracy",
|
| 56 |
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"metric_unit": "percent",
|
| 57 |
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"lower_is_better": false,
|
| 58 |
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"score_type": "continuous",
|
| 59 |
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"min_score": 0.0,
|
| 60 |
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"max_score": 100.0,
|
| 61 |
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"additional_details": {
|
| 62 |
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"score_scale": "percent_0_to_100",
|
| 63 |
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"max_score_source": "fixed_percentage_bound",
|
| 64 |
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"leaderboard_page_url": "https://www.vals.ai/benchmarks/medqa"
|
| 65 |
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}
|
| 66 |
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},
|
| 67 |
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|
| 68 |
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"score": 86.9,
|
| 69 |
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"details": {
|
| 70 |
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"benchmark_slug": "medqa",
|
| 71 |
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"benchmark_name": "MedQA",
|
| 72 |
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"benchmark_updated": "2026-04-16",
|
| 73 |
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"task_key": "asian",
|
| 74 |
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"task_name": "Asian",
|
| 75 |
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"dataset_type": "public",
|
| 76 |
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"industry": "healthcare",
|
| 77 |
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"raw_score": "86.9",
|
| 78 |
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"raw_stderr": "0.754",
|
| 79 |
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"latency": "0",
|
| 80 |
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"cost_per_test": "0.003169",
|
| 81 |
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"temperature": "0.7",
|
| 82 |
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"max_output_tokens": "64000",
|
| 83 |
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"provider": "Alibaba"
|
| 84 |
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},
|
| 85 |
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"uncertainty": {
|
| 86 |
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"standard_error": {
|
| 87 |
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"value": 0.754,
|
| 88 |
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"method": "vals_reported"
|
| 89 |
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}
|
| 90 |
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}
|
| 91 |
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},
|
| 92 |
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"generation_config": {
|
| 93 |
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"generation_args": {
|
| 94 |
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"temperature": 0.7,
|
| 95 |
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"max_tokens": 64000,
|
| 96 |
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"max_attempts": 1
|
| 97 |
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}
|
| 98 |
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}
|
| 99 |
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},
|
| 100 |
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{
|
| 101 |
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"evaluation_result_id": "medqa:black:alibaba/qwen3-max:score",
|
| 102 |
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"evaluation_name": "vals_ai.medqa.black",
|
| 103 |
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"source_data": {
|
| 104 |
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"dataset_name": "MedQA - Black",
|
| 105 |
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"source_type": "url",
|
| 106 |
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"url": [
|
| 107 |
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"https://www.vals.ai/benchmarks/medqa"
|
| 108 |
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],
|
| 109 |
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"additional_details": {
|
| 110 |
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"benchmark_slug": "medqa",
|
| 111 |
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"task_key": "black",
|
| 112 |
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"dataset_type": "public",
|
| 113 |
+
"leaderboard_page_url": "https://www.vals.ai/benchmarks/medqa"
|
| 114 |
+
}
|
| 115 |
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},
|
| 116 |
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"metric_config": {
|
| 117 |
+
"evaluation_description": "Accuracy reported by Vals.ai for MedQA (Black).",
|
| 118 |
+
"metric_id": "vals_ai.medqa.black.accuracy",
|
| 119 |
+
"metric_name": "Accuracy",
|
| 120 |
+
"metric_kind": "accuracy",
|
| 121 |
+
"metric_unit": "percent",
|
| 122 |
+
"lower_is_better": false,
|
| 123 |
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"score_type": "continuous",
|
| 124 |
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"min_score": 0.0,
|
| 125 |
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"max_score": 100.0,
|
| 126 |
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"additional_details": {
|
| 127 |
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"score_scale": "percent_0_to_100",
|
| 128 |
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"max_score_source": "fixed_percentage_bound",
|
| 129 |
+
"leaderboard_page_url": "https://www.vals.ai/benchmarks/medqa"
|
| 130 |
+
}
|
| 131 |
+
},
|
| 132 |
+
"score_details": {
|
| 133 |
+
"score": 87.35,
|
| 134 |
+
"details": {
|
| 135 |
+
"benchmark_slug": "medqa",
|
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data/vals_ai/alibaba/qwen3-max/6350a351-5207-4b50-bfef-362d483e8071.json
ADDED
|
@@ -0,0 +1,420 @@
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|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "vals-ai/legal_bench/alibaba_qwen3-max/1782803047.6575806",
|
| 4 |
+
"retrieved_timestamp": "1782803047.6575806",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "Vals.ai Leaderboard - LegalBench",
|
| 7 |
+
"source_type": "documentation",
|
| 8 |
+
"source_organization_name": "Vals.ai",
|
| 9 |
+
"source_organization_url": "https://www.vals.ai",
|
| 10 |
+
"evaluator_relationship": "third_party",
|
| 11 |
+
"additional_details": {
|
| 12 |
+
"benchmark_slug": "legal_bench",
|
| 13 |
+
"benchmark_name": "LegalBench",
|
| 14 |
+
"benchmark_updated": "2026-06-17",
|
| 15 |
+
"dataset_type": "public",
|
| 16 |
+
"industry": "legal",
|
| 17 |
+
"leaderboard_page_url": "https://www.vals.ai/benchmarks/legal_bench",
|
| 18 |
+
"extraction_method": "static_astro_benchmark_view_props"
|
| 19 |
+
}
|
| 20 |
+
},
|
| 21 |
+
"eval_library": {
|
| 22 |
+
"name": "Vals.ai",
|
| 23 |
+
"version": "unknown"
|
| 24 |
+
},
|
| 25 |
+
"model_info": {
|
| 26 |
+
"name": "qwen3-max",
|
| 27 |
+
"id": "alibaba/qwen3-max",
|
| 28 |
+
"developer": "alibaba",
|
| 29 |
+
"additional_details": {
|
| 30 |
+
"vals_model_id": "alibaba/qwen3-max",
|
| 31 |
+
"vals_provider": "Alibaba"
|
| 32 |
+
}
|
| 33 |
+
},
|
| 34 |
+
"evaluation_results": [
|
| 35 |
+
{
|
| 36 |
+
"evaluation_result_id": "legal_bench:conclusion_tasks:alibaba/qwen3-max:score",
|
| 37 |
+
"evaluation_name": "vals_ai.legal_bench.conclusion_tasks",
|
| 38 |
+
"source_data": {
|
| 39 |
+
"dataset_name": "LegalBench - Conclusion Tasks",
|
| 40 |
+
"source_type": "url",
|
| 41 |
+
"url": [
|
| 42 |
+
"https://www.vals.ai/benchmarks/legal_bench"
|
| 43 |
+
],
|
| 44 |
+
"additional_details": {
|
| 45 |
+
"benchmark_slug": "legal_bench",
|
| 46 |
+
"task_key": "conclusion_tasks",
|
| 47 |
+
"dataset_type": "public",
|
| 48 |
+
"leaderboard_page_url": "https://www.vals.ai/benchmarks/legal_bench"
|
| 49 |
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}
|
| 50 |
+
},
|
| 51 |
+
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|
| 52 |
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"evaluation_description": "Accuracy reported by Vals.ai for LegalBench (Conclusion Tasks).",
|
| 53 |
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"metric_id": "vals_ai.legal_bench.conclusion_tasks.accuracy",
|
| 54 |
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"metric_name": "Accuracy",
|
| 55 |
+
"metric_kind": "accuracy",
|
| 56 |
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"metric_unit": "percent",
|
| 57 |
+
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|
| 58 |
+
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|
| 59 |
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|
| 60 |
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"max_score": 100.0,
|
| 61 |
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|
| 62 |
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|
| 63 |
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|
| 64 |
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"leaderboard_page_url": "https://www.vals.ai/benchmarks/legal_bench"
|
| 65 |
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|
| 66 |
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|
| 67 |
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|
| 68 |
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|
| 69 |
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"details": {
|
| 70 |
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"benchmark_slug": "legal_bench",
|
| 71 |
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"benchmark_name": "LegalBench",
|
| 72 |
+
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|
| 73 |
+
"task_key": "conclusion_tasks",
|
| 74 |
+
"task_name": "Conclusion Tasks",
|
| 75 |
+
"dataset_type": "public",
|
| 76 |
+
"industry": "legal",
|
| 77 |
+
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|
| 78 |
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|
| 79 |
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|
| 80 |
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|
| 81 |
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"max_output_tokens": "64000",
|
| 82 |
+
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|
| 83 |
+
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|
| 84 |
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|
| 85 |
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|
| 86 |
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"value": 0.865,
|
| 87 |
+
"method": "vals_reported"
|
| 88 |
+
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|
| 89 |
+
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|
| 90 |
+
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|
| 91 |
+
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|
| 92 |
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|
| 93 |
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|
| 94 |
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|
| 95 |
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|
| 96 |
+
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|
| 97 |
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|
| 98 |
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},
|
| 99 |
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{
|
| 100 |
+
"evaluation_result_id": "legal_bench:interpretation_tasks:alibaba/qwen3-max:score",
|
| 101 |
+
"evaluation_name": "vals_ai.legal_bench.interpretation_tasks",
|
| 102 |
+
"source_data": {
|
| 103 |
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"dataset_name": "LegalBench - Interpretation Tasks",
|
| 104 |
+
"source_type": "url",
|
| 105 |
+
"url": [
|
| 106 |
+
"https://www.vals.ai/benchmarks/legal_bench"
|
| 107 |
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],
|
| 108 |
+
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|
| 109 |
+
"benchmark_slug": "legal_bench",
|
| 110 |
+
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|
| 111 |
+
"dataset_type": "public",
|
| 112 |
+
"leaderboard_page_url": "https://www.vals.ai/benchmarks/legal_bench"
|
| 113 |
+
}
|
| 114 |
+
},
|
| 115 |
+
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|
| 116 |
+
"evaluation_description": "Accuracy reported by Vals.ai for LegalBench (Interpretation Tasks).",
|
| 117 |
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"metric_id": "vals_ai.legal_bench.interpretation_tasks.accuracy",
|
| 118 |
+
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|
| 119 |
+
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|
| 120 |
+
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|
| 121 |
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|
| 122 |
+
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|
| 123 |
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|
| 124 |
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|
| 125 |
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|
| 126 |
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|
| 127 |
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|
| 128 |
+
"leaderboard_page_url": "https://www.vals.ai/benchmarks/legal_bench"
|
| 129 |
+
}
|
| 130 |
+
},
|
| 131 |
+
"score_details": {
|
| 132 |
+
"score": 78.545,
|
| 133 |
+
"details": {
|
| 134 |
+
"benchmark_slug": "legal_bench",
|
| 135 |
+
"benchmark_name": "LegalBench",
|
| 136 |
+
"benchmark_updated": "2026-06-17",
|
| 137 |
+
"task_key": "interpretation_tasks",
|
| 138 |
+
"task_name": "Interpretation Tasks",
|
| 139 |
+
"dataset_type": "public",
|
| 140 |
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|
| 141 |
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|
| 142 |
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|
| 143 |
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|
| 144 |
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|
| 145 |
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|
| 146 |
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|
| 147 |
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|
| 148 |
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|
| 149 |
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|
| 150 |
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|
| 151 |
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|
| 152 |
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|
| 153 |
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|
| 154 |
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|
| 155 |
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|
| 156 |
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| 157 |
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|
| 158 |
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|
| 159 |
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|
| 160 |
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|
| 161 |
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|
| 162 |
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|
| 163 |
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{
|
| 164 |
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|
| 165 |
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|
| 166 |
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"source_data": {
|
| 167 |
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"dataset_name": "LegalBench - Issue Tasks",
|
| 168 |
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|
| 169 |
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"url": [
|
| 170 |
+
"https://www.vals.ai/benchmarks/legal_bench"
|
| 171 |
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|
| 172 |
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|
| 173 |
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|
| 174 |
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|
| 175 |
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|
| 176 |
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|
| 177 |
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|
| 178 |
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|
| 179 |
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|
| 180 |
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|
| 181 |
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|
| 182 |
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|
| 183 |
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|
| 184 |
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|
| 185 |
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|
| 186 |
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|
| 187 |
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|
| 188 |
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|
| 189 |
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|
| 190 |
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|
| 191 |
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|
| 192 |
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"leaderboard_page_url": "https://www.vals.ai/benchmarks/legal_bench"
|
| 193 |
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|
| 194 |
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|
| 195 |
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|
| 196 |
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|
| 197 |
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|
| 198 |
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|
| 199 |
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|
| 200 |
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|
| 201 |
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"task_key": "issue_tasks",
|
| 202 |
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"task_name": "Issue Tasks",
|
| 203 |
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|
| 204 |
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"industry": "legal",
|
| 205 |
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|
| 206 |
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|
| 207 |
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|
| 208 |
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|
| 209 |
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|
| 210 |
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|
| 211 |
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|
| 212 |
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| 213 |
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|
| 214 |
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|
| 215 |
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|
| 216 |
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|
| 217 |
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|
| 218 |
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|
| 219 |
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|
| 220 |
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|
| 221 |
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|
| 222 |
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|
| 223 |
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|
| 224 |
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|
| 225 |
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|
| 226 |
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|
| 227 |
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|
| 228 |
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|
| 229 |
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|
| 230 |
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| 240 |
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data/vals_ai/alibaba/qwen3-max/9856bb54-86d1-4dff-a150-d6f1576bfa54.json
ADDED
|
@@ -0,0 +1,222 @@
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|
| 1 |
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|
| 91 |
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|
| 92 |
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|
| 93 |
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|
| 94 |
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|
| 95 |
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|
| 96 |
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|
| 97 |
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{
|
| 98 |
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|
| 99 |
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|
| 100 |
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|
| 101 |
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|
| 102 |
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|
| 103 |
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|
| 104 |
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|
| 105 |
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|
| 106 |
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|
| 107 |
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|
| 108 |
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|
| 109 |
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|
| 110 |
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|
| 111 |
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|
| 112 |
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|
| 113 |
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|
| 114 |
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|
| 115 |
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|
| 116 |
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|
| 117 |
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|
| 118 |
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|
| 119 |
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|
| 120 |
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|
| 121 |
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|
| 122 |
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|
| 123 |
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|
| 124 |
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|
| 125 |
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|
| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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|
| 134 |
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|
| 135 |
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|
| 136 |
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|
| 137 |
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|
| 138 |
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|
| 139 |
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|
| 140 |
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|
| 141 |
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|
| 142 |
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|
| 143 |
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|
| 144 |
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|
| 145 |
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|
| 146 |
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|
| 147 |
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|
| 148 |
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| 149 |
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| 150 |
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|
| 151 |
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|
| 152 |
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|
| 153 |
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|
| 154 |
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| 155 |
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|
| 156 |
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| 157 |
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|
| 158 |
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|
| 159 |
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|
| 160 |
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| 161 |
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|
| 162 |
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|
| 163 |
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|
| 164 |
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|
| 165 |
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|
| 166 |
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|
| 167 |
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|
| 168 |
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|
| 169 |
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|
| 170 |
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| 171 |
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| 172 |
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| 173 |
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| 174 |
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| 175 |
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| 176 |
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| 177 |
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|
| 178 |
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|
| 179 |
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|
| 180 |
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|
| 181 |
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|
| 182 |
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|
| 183 |
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| 184 |
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|
| 185 |
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|
| 186 |
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|
| 187 |
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|
| 188 |
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|
| 189 |
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|
| 190 |
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|
| 191 |
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|
| 192 |
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|
| 193 |
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|
| 194 |
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|
| 195 |
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|
| 196 |
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|
| 197 |
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|
| 198 |
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|
| 199 |
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|
| 200 |
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|
| 201 |
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|
| 202 |
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|
| 203 |
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|
| 204 |
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|
| 205 |
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|
| 206 |
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|
| 207 |
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|
| 208 |
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|
| 209 |
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|
| 210 |
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|
| 211 |
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|
| 212 |
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|
| 213 |
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|
| 214 |
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|
| 215 |
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|
| 216 |
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|
| 217 |
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|
| 218 |
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|
| 219 |
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|
| 220 |
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|
| 221 |
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|
| 222 |
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}
|
data/vals_ai/alibaba/qwen3-max/9e91ef1e-721b-4cf2-9728-5de2731bb064.json
ADDED
|
@@ -0,0 +1,98 @@
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|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
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|
|
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|
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|
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|
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|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
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|
|
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|
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|
|
|
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|
|
|
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|
| 1 |
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{
|
| 2 |
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|
| 3 |
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| 4 |
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| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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}
|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
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| 38 |
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|
| 39 |
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| 40 |
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| 41 |
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| 42 |
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| 43 |
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| 44 |
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| 45 |
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| 46 |
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| 47 |
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| 48 |
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| 49 |
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| 51 |
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| 52 |
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| 53 |
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| 54 |
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| 55 |
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|
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|
| 58 |
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| 59 |
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| 61 |
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| 62 |
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| 63 |
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|
| 64 |
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|
| 65 |
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|
| 66 |
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|
| 67 |
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|
| 68 |
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|
| 69 |
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|
| 70 |
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|
| 71 |
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|
| 72 |
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|
| 73 |
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|
| 74 |
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|
| 75 |
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| 76 |
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|
| 77 |
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|
| 78 |
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|
| 79 |
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|
| 80 |
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|
| 81 |
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|
| 82 |
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|
| 83 |
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|
| 84 |
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|
| 85 |
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|
| 86 |
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|
| 87 |
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|
| 88 |
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|
| 89 |
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"generation_config": {
|
| 90 |
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"generation_args": {
|
| 91 |
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|
| 92 |
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|
| 93 |
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|
| 94 |
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|
| 95 |
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|
| 96 |
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|
| 97 |
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|
| 98 |
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|
data/vals_ai/alibaba/qwen3-max/b524de72-b545-4977-8a37-e9165d8c5174.json
ADDED
|
@@ -0,0 +1,284 @@
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|
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|
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|
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|
| 1 |
+
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|
| 2 |
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|
| 3 |
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|
| 4 |
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| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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| 18 |
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| 19 |
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|
| 20 |
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| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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| 37 |
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| 38 |
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|
| 39 |
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| 40 |
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| 43 |
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| 44 |
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|
| 45 |
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| 46 |
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| 48 |
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| 49 |
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| 61 |
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| 65 |
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| 66 |
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| 67 |
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|
| 68 |
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|
| 69 |
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|
| 70 |
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|
| 71 |
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|
| 72 |
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|
| 73 |
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|
| 74 |
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|
| 75 |
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| 76 |
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| 81 |
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| 82 |
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| 83 |
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|
| 84 |
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|
| 85 |
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|
| 86 |
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| 87 |
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|
| 88 |
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|
| 89 |
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|
| 90 |
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|
| 91 |
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| 93 |
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| 94 |
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| 95 |
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|
| 96 |
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|
| 97 |
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|
| 98 |
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| 99 |
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|
| 100 |
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|
| 101 |
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| 102 |
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| 103 |
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| 104 |
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| 105 |
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| 107 |
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| 108 |
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| 111 |
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| 114 |
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| 115 |
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| 116 |
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| 117 |
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| 118 |
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| 125 |
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| 126 |
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| 127 |
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|
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| 129 |
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| 130 |
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| 132 |
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| 133 |
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| 135 |
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|
| 136 |
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| 137 |
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| 138 |
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|
| 139 |
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| 140 |
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|
| 141 |
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|
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|
| 143 |
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| 144 |
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| 145 |
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| 151 |
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| 152 |
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| 156 |
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| 158 |
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|
| 159 |
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|
| 160 |
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|
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| 162 |
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|
| 163 |
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|
| 164 |
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| 165 |
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| 166 |
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| 167 |
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| 169 |
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| 170 |
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| 190 |
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| 194 |
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| 195 |
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| 196 |
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| 197 |
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| 205 |
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| 210 |
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| 211 |
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| 213 |
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| 214 |
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| 217 |
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| 218 |
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| 221 |
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|
| 222 |
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|
| 223 |
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| 224 |
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|
| 225 |
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|
| 226 |
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| 227 |
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| 233 |
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|
| 241 |
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| 242 |
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|
| 243 |
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|
| 244 |
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|
| 245 |
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|
| 247 |
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| 248 |
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| 249 |
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|
| 250 |
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|
| 251 |
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|
| 252 |
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|
| 253 |
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| 254 |
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|
| 255 |
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|
| 256 |
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|
| 257 |
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|
| 258 |
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|
| 259 |
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|
| 260 |
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|
| 261 |
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|
| 262 |
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|
| 263 |
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|
| 264 |
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|
| 265 |
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|
| 266 |
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|
| 267 |
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|
| 268 |
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|
| 269 |
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|
| 270 |
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|
| 271 |
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|
| 272 |
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|
| 273 |
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|
| 274 |
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|
| 275 |
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|
| 276 |
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|
| 277 |
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|
| 278 |
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|
| 279 |
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|
| 280 |
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|
| 281 |
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|
| 282 |
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|
| 283 |
+
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|
| 284 |
+
}
|
data/vals_ai/alibaba/qwen3-max/bbfd2ed3-cc58-4f28-9bfa-abe08fe1ea81.json
ADDED
|
@@ -0,0 +1,98 @@
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "vals-ai/case_law_v2/alibaba_qwen3-max/1782803047.6575806",
|
| 4 |
+
"retrieved_timestamp": "1782803047.6575806",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "Vals.ai Leaderboard - CaseLaw v2",
|
| 7 |
+
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|
| 8 |
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"source_organization_name": "Vals.ai",
|
| 9 |
+
"source_organization_url": "https://www.vals.ai",
|
| 10 |
+
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|
| 11 |
+
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|
| 12 |
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|
| 13 |
+
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|
| 14 |
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|
| 15 |
+
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|
| 16 |
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"industry": "legal",
|
| 17 |
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"leaderboard_page_url": "https://www.vals.ai/benchmarks/case_law_v2",
|
| 18 |
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data/vals_ai/alibaba/qwen3-max/c9c43761-e44b-452a-a215-c5a4ced58885.json
ADDED
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@@ -0,0 +1,296 @@
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| 173 |
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| 174 |
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| 175 |
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| 177 |
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| 178 |
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| 179 |
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|
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|
data/vals_ai/alibaba/qwen3-max/d0045a8e-41ed-4396-aa19-2ddca3310b30.json
ADDED
|
@@ -0,0 +1,816 @@
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|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "vals-ai/mgsm/alibaba_qwen3-max/1782803047.6575806",
|
| 4 |
+
"retrieved_timestamp": "1782803047.6575806",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "Vals.ai Leaderboard - MGSM",
|
| 7 |
+
"source_type": "documentation",
|
| 8 |
+
"source_organization_name": "Vals.ai",
|
| 9 |
+
"source_organization_url": "https://www.vals.ai",
|
| 10 |
+
"evaluator_relationship": "third_party",
|
| 11 |
+
"additional_details": {
|
| 12 |
+
"benchmark_slug": "mgsm",
|
| 13 |
+
"benchmark_name": "MGSM",
|
| 14 |
+
"benchmark_updated": "2026-01-09",
|
| 15 |
+
"dataset_type": "public",
|
| 16 |
+
"industry": "math",
|
| 17 |
+
"leaderboard_page_url": "https://www.vals.ai/benchmarks/mgsm",
|
| 18 |
+
"extraction_method": "static_astro_benchmark_view_props"
|
| 19 |
+
}
|
| 20 |
+
},
|
| 21 |
+
"eval_library": {
|
| 22 |
+
"name": "Vals.ai",
|
| 23 |
+
"version": "unknown"
|
| 24 |
+
},
|
| 25 |
+
"model_info": {
|
| 26 |
+
"name": "qwen3-max",
|
| 27 |
+
"id": "alibaba/qwen3-max",
|
| 28 |
+
"developer": "alibaba",
|
| 29 |
+
"additional_details": {
|
| 30 |
+
"vals_model_id": "alibaba/qwen3-max",
|
| 31 |
+
"vals_provider": "Alibaba"
|
| 32 |
+
}
|
| 33 |
+
},
|
| 34 |
+
"evaluation_results": [
|
| 35 |
+
{
|
| 36 |
+
"evaluation_result_id": "mgsm:mgsm_bn:alibaba/qwen3-max:score",
|
| 37 |
+
"evaluation_name": "vals_ai.mgsm.mgsm_bn",
|
| 38 |
+
"source_data": {
|
| 39 |
+
"dataset_name": "MGSM - Bengali",
|
| 40 |
+
"source_type": "url",
|
| 41 |
+
"url": [
|
| 42 |
+
"https://www.vals.ai/benchmarks/mgsm"
|
| 43 |
+
],
|
| 44 |
+
"additional_details": {
|
| 45 |
+
"benchmark_slug": "mgsm",
|
| 46 |
+
"task_key": "mgsm_bn",
|
| 47 |
+
"dataset_type": "public",
|
| 48 |
+
"leaderboard_page_url": "https://www.vals.ai/benchmarks/mgsm"
|
| 49 |
+
}
|
| 50 |
+
},
|
| 51 |
+
"metric_config": {
|
| 52 |
+
"evaluation_description": "Accuracy reported by Vals.ai for MGSM (Bengali).",
|
| 53 |
+
"metric_id": "vals_ai.mgsm.mgsm_bn.accuracy",
|
| 54 |
+
"metric_name": "Accuracy",
|
| 55 |
+
"metric_kind": "accuracy",
|
| 56 |
+
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|
| 57 |
+
"lower_is_better": false,
|
| 58 |
+
"score_type": "continuous",
|
| 59 |
+
"min_score": 0.0,
|
| 60 |
+
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|
| 61 |
+
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|
| 62 |
+
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|
| 63 |
+
"max_score_source": "fixed_percentage_bound",
|
| 64 |
+
"leaderboard_page_url": "https://www.vals.ai/benchmarks/mgsm"
|
| 65 |
+
}
|
| 66 |
+
},
|
| 67 |
+
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|
| 68 |
+
"score": 89.6,
|
| 69 |
+
"details": {
|
| 70 |
+
"benchmark_slug": "mgsm",
|
| 71 |
+
"benchmark_name": "MGSM",
|
| 72 |
+
"benchmark_updated": "2026-01-09",
|
| 73 |
+
"task_key": "mgsm_bn",
|
| 74 |
+
"task_name": "Bengali",
|
| 75 |
+
"dataset_type": "public",
|
| 76 |
+
"industry": "math",
|
| 77 |
+
"raw_score": "89.6",
|
| 78 |
+
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|
| 79 |
+
"latency": "23.778",
|
| 80 |
+
"cost_per_test": "0.005813",
|
| 81 |
+
"temperature": "0.7",
|
| 82 |
+
"max_output_tokens": "64000",
|
| 83 |
+
"provider": "Alibaba"
|
| 84 |
+
},
|
| 85 |
+
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|
| 86 |
+
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|
| 87 |
+
"value": 1.931,
|
| 88 |
+
"method": "vals_reported"
|
| 89 |
+
}
|
| 90 |
+
}
|
| 91 |
+
},
|
| 92 |
+
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|
| 93 |
+
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|
| 94 |
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"temperature": 0.7,
|
| 95 |
+
"max_tokens": 64000,
|
| 96 |
+
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|
| 97 |
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}
|
| 98 |
+
}
|
| 99 |
+
},
|
| 100 |
+
{
|
| 101 |
+
"evaluation_result_id": "mgsm:mgsm_de:alibaba/qwen3-max:score",
|
| 102 |
+
"evaluation_name": "vals_ai.mgsm.mgsm_de",
|
| 103 |
+
"source_data": {
|
| 104 |
+
"dataset_name": "MGSM - German",
|
| 105 |
+
"source_type": "url",
|
| 106 |
+
"url": [
|
| 107 |
+
"https://www.vals.ai/benchmarks/mgsm"
|
| 108 |
+
],
|
| 109 |
+
"additional_details": {
|
| 110 |
+
"benchmark_slug": "mgsm",
|
| 111 |
+
"task_key": "mgsm_de",
|
| 112 |
+
"dataset_type": "public",
|
| 113 |
+
"leaderboard_page_url": "https://www.vals.ai/benchmarks/mgsm"
|
| 114 |
+
}
|
| 115 |
+
},
|
| 116 |
+
"metric_config": {
|
| 117 |
+
"evaluation_description": "Accuracy reported by Vals.ai for MGSM (German).",
|
| 118 |
+
"metric_id": "vals_ai.mgsm.mgsm_de.accuracy",
|
| 119 |
+
"metric_name": "Accuracy",
|
| 120 |
+
"metric_kind": "accuracy",
|
| 121 |
+
"metric_unit": "percent",
|
| 122 |
+
"lower_is_better": false,
|
| 123 |
+
"score_type": "continuous",
|
| 124 |
+
"min_score": 0.0,
|
| 125 |
+
"max_score": 100.0,
|
| 126 |
+
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|
| 127 |
+
"score_scale": "percent_0_to_100",
|
| 128 |
+
"max_score_source": "fixed_percentage_bound",
|
| 129 |
+
"leaderboard_page_url": "https://www.vals.ai/benchmarks/mgsm"
|
| 130 |
+
}
|
| 131 |
+
},
|
| 132 |
+
"score_details": {
|
| 133 |
+
"score": 93.2,
|
| 134 |
+
"details": {
|
| 135 |
+
"benchmark_slug": "mgsm",
|
| 136 |
+
"benchmark_name": "MGSM",
|
| 137 |
+
"benchmark_updated": "2026-01-09",
|
| 138 |
+
"task_key": "mgsm_de",
|
| 139 |
+
"task_name": "German",
|
| 140 |
+
"dataset_type": "public",
|
| 141 |
+
"industry": "math",
|
| 142 |
+
"raw_score": "93.2",
|
| 143 |
+
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|
| 144 |
+
"latency": "8.557",
|
| 145 |
+
"cost_per_test": "0.001979",
|
| 146 |
+
"temperature": "0.7",
|
| 147 |
+
"max_output_tokens": "64000",
|
| 148 |
+
"provider": "Alibaba"
|
| 149 |
+
},
|
| 150 |
+
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|
| 151 |
+
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|
| 152 |
+
"value": 1.592,
|
| 153 |
+
"method": "vals_reported"
|
| 154 |
+
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|
| 155 |
+
}
|
| 156 |
+
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|
| 157 |
+
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|
| 158 |
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|
| 159 |
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"temperature": 0.7,
|
| 160 |
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|
| 161 |
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|
| 162 |
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|
| 163 |
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|
| 164 |
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|
| 165 |
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{
|
| 166 |
+
"evaluation_result_id": "mgsm:mgsm_en:alibaba/qwen3-max:score",
|
| 167 |
+
"evaluation_name": "vals_ai.mgsm.mgsm_en",
|
| 168 |
+
"source_data": {
|
| 169 |
+
"dataset_name": "MGSM - English",
|
| 170 |
+
"source_type": "url",
|
| 171 |
+
"url": [
|
| 172 |
+
"https://www.vals.ai/benchmarks/mgsm"
|
| 173 |
+
],
|
| 174 |
+
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|
| 175 |
+
"benchmark_slug": "mgsm",
|
| 176 |
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"task_key": "mgsm_en",
|
| 177 |
+
"dataset_type": "public",
|
| 178 |
+
"leaderboard_page_url": "https://www.vals.ai/benchmarks/mgsm"
|
| 179 |
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|
| 180 |
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|
| 181 |
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|
| 182 |
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"evaluation_description": "Accuracy reported by Vals.ai for MGSM (English).",
|
| 183 |
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"metric_id": "vals_ai.mgsm.mgsm_en.accuracy",
|
| 184 |
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"metric_name": "Accuracy",
|
| 185 |
+
"metric_kind": "accuracy",
|
| 186 |
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|
| 187 |
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|
| 188 |
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|
| 189 |
+
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|
| 190 |
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|
| 191 |
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|
| 192 |
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|
| 193 |
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|
| 194 |
+
"leaderboard_page_url": "https://www.vals.ai/benchmarks/mgsm"
|
| 195 |
+
}
|
| 196 |
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},
|
| 197 |
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|
| 198 |
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"score": 98.4,
|
| 199 |
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"details": {
|
| 200 |
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"benchmark_slug": "mgsm",
|
| 201 |
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"benchmark_name": "MGSM",
|
| 202 |
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|
| 203 |
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"task_key": "mgsm_en",
|
| 204 |
+
"task_name": "English",
|
| 205 |
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"dataset_type": "public",
|
| 206 |
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"industry": "math",
|
| 207 |
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"raw_score": "98.4",
|
| 208 |
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|
| 209 |
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|
| 210 |
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|
| 211 |
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|
| 212 |
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| 213 |
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|
| 214 |
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|
| 215 |
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|
| 216 |
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|
| 217 |
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|
| 218 |
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|
| 219 |
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|
| 220 |
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| 221 |
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|
| 222 |
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| 223 |
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| 224 |
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| 225 |
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| 226 |
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| 227 |
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| 228 |
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|
| 229 |
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|
| 230 |
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|
| 231 |
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"evaluation_result_id": "mgsm:mgsm_es:alibaba/qwen3-max:score",
|
| 232 |
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|
| 233 |
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|
| 234 |
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"dataset_name": "MGSM - Spanish",
|
| 235 |
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|
| 236 |
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"url": [
|
| 237 |
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"https://www.vals.ai/benchmarks/mgsm"
|
| 238 |
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|
| 239 |
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|
| 240 |
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|
| 241 |
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|
| 242 |
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|
| 243 |
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|
| 244 |
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|
| 245 |
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|
| 246 |
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|
| 247 |
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|
| 248 |
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| 249 |
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|
| 250 |
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|
| 251 |
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| 252 |
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|
| 253 |
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| 254 |
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|
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|
| 256 |
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|
| 257 |
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| 259 |
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| 260 |
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| 261 |
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|
| 262 |
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|
| 263 |
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|
| 264 |
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|
| 265 |
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|
| 266 |
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|
| 267 |
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|
| 268 |
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|
| 269 |
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|
| 270 |
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|
| 271 |
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|
| 272 |
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|
| 273 |
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|
| 274 |
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"latency": "7.531",
|
| 275 |
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|
| 276 |
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|
| 277 |
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|
| 278 |
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|
| 279 |
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|
| 280 |
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|
| 281 |
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|
| 282 |
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|
| 283 |
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|
| 284 |
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| 285 |
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|
| 286 |
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|
| 287 |
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|
| 288 |
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| 289 |
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| 292 |
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ADDED
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@@ -0,0 +1,231 @@
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| 127 |
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| 128 |
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| 129 |
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| 133 |
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| 136 |
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|
| 137 |
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| 138 |
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| 139 |
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| 140 |
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| 149 |
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| 150 |
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| 151 |
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| 152 |
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| 158 |
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| 161 |
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|
| 162 |
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| 165 |
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|
| 166 |
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|
| 173 |
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| 174 |
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| 175 |
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| 176 |
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| 177 |
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| 178 |
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| 187 |
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| 188 |
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| 189 |
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|
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|
| 195 |
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|
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|
| 197 |
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|
| 198 |
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|
| 199 |
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|
| 200 |
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|
| 201 |
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|
| 202 |
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|
| 203 |
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|
| 204 |
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| 205 |
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|
| 206 |
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|
| 207 |
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|
| 208 |
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| 209 |
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|
| 210 |
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|
| 211 |
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|
| 212 |
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|
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|
| 214 |
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| 215 |
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|
| 216 |
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| 217 |
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| 220 |
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| 222 |
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|
| 223 |
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|
| 224 |
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| 229 |
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|
| 230 |
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|
| 231 |
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|
data/vals_ai/alibaba/qwen3-vl-plus-2025-09-23/039c2c36-f5f7-448a-b9b0-73c53b17920c.json
ADDED
|
@@ -0,0 +1,98 @@
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|
|
|
|
|
|
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|
|
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|
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|
|
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|
|
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|
|
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|
| 1 |
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|
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| 5 |
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| 7 |
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| 8 |
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| 9 |
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|
| 10 |
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|
| 11 |
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| 12 |
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| 14 |
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| 15 |
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| 18 |
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|
| 19 |
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| 20 |
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| 21 |
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| 22 |
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| 23 |
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| 24 |
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| 27 |
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| 31 |
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| 32 |
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|
| 35 |
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| 36 |
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| 45 |
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| 61 |
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| 68 |
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| 69 |
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|
| 70 |
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| 74 |
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| 90 |
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| 98 |
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|
data/vals_ai/alibaba/qwen3-vl-plus-2025-09-23/e53309de-ef17-4e58-8bae-5ee3241aabe7.json
ADDED
|
@@ -0,0 +1,98 @@
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|
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|
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|
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|
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|
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|
|
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|
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|
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|
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|
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|
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|
|
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|
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|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
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|
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|
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|
|
|
|
|
|
|
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|
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|
| 1 |
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|
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data/vals_ai/alibaba/qwen3-vl-plus-2025-09-23/f8a63b6a-51cb-4436-8fbd-77d8f86521c5.json
ADDED
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@@ -0,0 +1,346 @@
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| 1 |
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data/vals_ai/alibaba/qwen3.5-flash/090f6f19-c988-416a-9b1b-2b5e8c0f3edb.json
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@@ -0,0 +1,225 @@
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|
| 146 |
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|
| 147 |
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|
| 148 |
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|
| 149 |
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| 150 |
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| 151 |
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| 152 |
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| 153 |
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|
| 154 |
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|
| 155 |
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|
| 156 |
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|
| 157 |
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|
| 158 |
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|
| 159 |
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|
| 160 |
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|
| 161 |
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|
| 162 |
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|
| 163 |
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|
| 164 |
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|
| 165 |
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|
| 166 |
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|
| 167 |
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|
| 168 |
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|
| 169 |
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|
| 170 |
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|
| 171 |
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|
| 172 |
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|
| 173 |
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|
| 174 |
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| 175 |
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|
| 177 |
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|
| 178 |
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|
| 179 |
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|
| 180 |
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|
| 181 |
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|
| 182 |
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|
| 183 |
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|
| 184 |
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|
| 185 |
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|
| 186 |
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|
| 187 |
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|
| 188 |
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|
| 189 |
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|
| 190 |
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|
| 191 |
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|
| 192 |
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|
| 193 |
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|
| 194 |
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|
| 195 |
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|
| 196 |
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|
| 197 |
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|
| 198 |
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|
| 199 |
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|
| 200 |
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|
| 201 |
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|
| 202 |
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|
| 203 |
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|
| 204 |
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|
| 205 |
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|
| 206 |
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|
| 207 |
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|
| 208 |
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|
| 209 |
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|
| 210 |
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|
| 211 |
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|
| 212 |
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|
| 213 |
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|
| 214 |
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|
| 215 |
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|
| 216 |
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|
| 217 |
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|
| 218 |
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|
| 219 |
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|
| 220 |
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|
| 221 |
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|
| 222 |
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|
| 223 |
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|
| 224 |
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|
| 225 |
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}
|
data/vals_ai/alibaba/qwen3.5-flash/15b1546a-c91e-4cc2-ac91-a2f643ecb0ad.json
ADDED
|
@@ -0,0 +1,98 @@
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|
|
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|
|
|
|
|
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|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
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{
|
| 2 |
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|
| 3 |
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"evaluation_id": "vals-ai/medscribe/alibaba_qwen3.5-flash/1782803047.6575806",
|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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"source_organization_url": "https://www.vals.ai",
|
| 10 |
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|
| 11 |
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"additional_details": {
|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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"extraction_method": "static_astro_benchmark_view_props"
|
| 19 |
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}
|
| 20 |
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},
|
| 21 |
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|
| 22 |
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"name": "Vals.ai",
|
| 23 |
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|
| 24 |
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},
|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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{
|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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"dataset_name": "MedScribe - Overall",
|
| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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}
|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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|
| 55 |
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|
| 56 |
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|
| 57 |
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|
| 58 |
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|
| 59 |
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|
| 60 |
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|
| 61 |
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|
| 62 |
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}
|
| 63 |
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},
|
| 64 |
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|
| 65 |
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"score": 70.619,
|
| 66 |
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"details": {
|
| 67 |
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"benchmark_slug": "medscribe",
|
| 68 |
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"benchmark_name": "MedScribe",
|
| 69 |
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"benchmark_updated": "2026-06-17",
|
| 70 |
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"task_key": "overall",
|
| 71 |
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"task_name": "Overall",
|
| 72 |
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"dataset_type": "private",
|
| 73 |
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"industry": "healthcare",
|
| 74 |
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"raw_score": "70.619",
|
| 75 |
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"raw_stderr": "2.09",
|
| 76 |
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"latency": "80.406",
|
| 77 |
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|
| 78 |
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|
| 79 |
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"max_output_tokens": "30000",
|
| 80 |
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"provider": "Alibaba"
|
| 81 |
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},
|
| 82 |
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"uncertainty": {
|
| 83 |
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|
| 84 |
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"value": 2.09,
|
| 85 |
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|
| 86 |
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}
|
| 87 |
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}
|
| 88 |
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},
|
| 89 |
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"generation_config": {
|
| 90 |
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|
| 91 |
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"temperature": 1.0,
|
| 92 |
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|
| 93 |
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|
| 94 |
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|
| 95 |
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}
|
| 96 |
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|
| 97 |
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|
| 98 |
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}
|
data/vals_ai/alibaba/qwen3.5-flash/2cd0f499-765f-4aa5-aa0c-5dafd4c01f8d.json
ADDED
|
@@ -0,0 +1,346 @@
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|
|
|
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|
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|
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|
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|
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|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "vals-ai/sage/alibaba_qwen3.5-flash/1782803047.6575806",
|
| 4 |
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"retrieved_timestamp": "1782803047.6575806",
|
| 5 |
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"source_metadata": {
|
| 6 |
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"source_name": "Vals.ai Leaderboard - SAGE",
|
| 7 |
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|
| 8 |
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"source_organization_name": "Vals.ai",
|
| 9 |
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"source_organization_url": "https://www.vals.ai",
|
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ADDED
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@@ -0,0 +1,426 @@
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|
| 1 |
+
{
|
| 2 |
+
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|
| 3 |
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| 4 |
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| 9 |
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| 10 |
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|
| 11 |
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| 12 |
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|
| 13 |
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|
| 14 |
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| 15 |
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| 16 |
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| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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"name": "qwen3.5-flash",
|
| 27 |
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"id": "alibaba/qwen3.5-flash",
|
| 28 |
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|
| 29 |
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|
| 30 |
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"vals_model_id": "alibaba/qwen3.5-flash",
|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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"dataset_name": "LegalBench - Conclusion Tasks",
|
| 40 |
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|
| 41 |
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"url": [
|
| 42 |
+
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|
| 43 |
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|
| 44 |
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| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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| 49 |
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| 50 |
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| 51 |
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| 52 |
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| 53 |
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| 54 |
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| 55 |
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|
| 56 |
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|
| 57 |
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|
| 58 |
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|
| 59 |
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|
| 60 |
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|
| 61 |
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| 62 |
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| 63 |
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| 64 |
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| 65 |
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| 66 |
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|
| 68 |
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|
| 69 |
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|
| 70 |
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|
| 71 |
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|
| 72 |
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|
| 73 |
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|
| 74 |
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|
| 75 |
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|
| 76 |
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|
| 77 |
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|
| 78 |
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|
| 79 |
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|
| 80 |
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|
| 81 |
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| 82 |
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|
| 83 |
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|
| 84 |
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| 85 |
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|
| 86 |
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|
| 87 |
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|
| 88 |
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|
| 89 |
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| 90 |
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|
| 91 |
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|
| 92 |
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|
| 94 |
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| 95 |
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| 96 |
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| 97 |
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| 98 |
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| 99 |
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|
| 100 |
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|
| 101 |
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|
| 102 |
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| 103 |
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| 104 |
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|
| 105 |
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| 106 |
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"url": [
|
| 107 |
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|
| 108 |
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| 109 |
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| 110 |
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|
| 111 |
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|
| 112 |
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|
| 113 |
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|
| 114 |
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| 115 |
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|
| 116 |
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| 117 |
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|
| 118 |
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| 119 |
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|
| 120 |
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|
| 121 |
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|
| 122 |
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|
| 123 |
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|
| 124 |
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| 125 |
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|
| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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|
| 134 |
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|
| 135 |
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|
| 136 |
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|
| 137 |
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|
| 138 |
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|
| 139 |
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| 140 |
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|
| 141 |
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|
| 142 |
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|
| 143 |
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|
| 144 |
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|
| 145 |
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| 146 |
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| 147 |
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| 148 |
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|
| 149 |
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| 150 |
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| 151 |
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| 152 |
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|
| 153 |
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| 154 |
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| 155 |
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| 156 |
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| 157 |
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| 158 |
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| 162 |
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| 163 |
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|
| 164 |
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|
| 165 |
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|
| 166 |
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| 167 |
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|
| 168 |
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|
| 169 |
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|
| 170 |
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|
| 171 |
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|
| 172 |
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| 173 |
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| 174 |
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| 175 |
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| 176 |
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| 177 |
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| 178 |
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| 179 |
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| 180 |
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| 181 |
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| 182 |
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| 183 |
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| 184 |
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|
| 185 |
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| 186 |
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| 187 |
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| 188 |
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| 189 |
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| 190 |
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| 191 |
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| 192 |
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| 194 |
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| 195 |
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| 196 |
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|
| 197 |
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| 198 |
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|
| 199 |
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| 200 |
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| 201 |
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|
| 202 |
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|
| 203 |
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|
| 204 |
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| 205 |
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|
| 206 |
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| 207 |
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| 208 |
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| 210 |
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| 211 |
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| 212 |
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|
| 214 |
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| 218 |
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| 219 |
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| 220 |
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| 222 |
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| 223 |
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| 229 |
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|
| 230 |
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|
| 231 |
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| 232 |
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|
| 233 |
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|
| 234 |
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| 235 |
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| 236 |
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|
| 237 |
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| 238 |
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| 239 |
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| 240 |
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| 243 |
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| 259 |
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|
| 264 |
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| 269 |
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| 271 |
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| 295 |
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| 426 |
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data/vals_ai/alibaba/qwen3.5-flash/4f17a518-7a90-44d8-81ff-2894f9d62657.json
ADDED
|
@@ -0,0 +1,98 @@
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|
|
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|
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|
|
|
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|
|
|
|
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|
|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
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|
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|
|
|
|
|
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|
|
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|
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|
|
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|
|
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|
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|
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|
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|
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|
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|
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|
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| 1 |
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| 9 |
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| 11 |
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|
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|
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| 64 |
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|
| 66 |
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| 69 |
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|
| 70 |
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|
| 71 |
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|
| 72 |
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| 73 |
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|
| 74 |
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|
| 75 |
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|
| 76 |
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|
| 77 |
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|
| 78 |
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|
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|
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|
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|
| 82 |
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| 87 |
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| 88 |
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|
| 89 |
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|
| 90 |
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|
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|
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|
| 97 |
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|
| 98 |
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|
data/vals_ai/alibaba/qwen3.5-flash/5cf756b7-5423-41ff-a3b6-e3288e6c6492.json
ADDED
|
@@ -0,0 +1,98 @@
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|
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|
|
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|
|
|
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|
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|
|
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|
|
|
|
|
|
|
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|
| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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| 5 |
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data/vals_ai/alibaba/qwen3.5-flash/78ac8632-bb94-4236-9e25-26ac36b2a3a6.json
ADDED
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@@ -0,0 +1,371 @@
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| 1 |
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data/vals_ai/alibaba/qwen3.5-flash/838c292c-ce0e-454a-8981-4f9c50ee463b.json
ADDED
|
@@ -0,0 +1,222 @@
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data/vals_ai/alibaba/qwen3.5-flash/8ec897b6-bda1-4c23-a3cd-d8602cf9b1a5.json
ADDED
|
@@ -0,0 +1,304 @@
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|
| 1 |
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{
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|
data/vals_ai/alibaba/qwen3.5-flash/9a8dd538-6832-4da1-954b-2b2c6556343e.json
ADDED
|
@@ -0,0 +1,1011 @@
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|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "vals-ai/mmlu_pro/alibaba_qwen3.5-flash/1782803047.6575806",
|
| 4 |
+
"retrieved_timestamp": "1782803047.6575806",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "Vals.ai Leaderboard - MMLU Pro",
|
| 7 |
+
"source_type": "documentation",
|
| 8 |
+
"source_organization_name": "Vals.ai",
|
| 9 |
+
"source_organization_url": "https://www.vals.ai",
|
| 10 |
+
"evaluator_relationship": "third_party",
|
| 11 |
+
"additional_details": {
|
| 12 |
+
"benchmark_slug": "mmlu_pro",
|
| 13 |
+
"benchmark_name": "MMLU Pro",
|
| 14 |
+
"benchmark_updated": "2026-06-17",
|
| 15 |
+
"dataset_type": "public",
|
| 16 |
+
"industry": "academic",
|
| 17 |
+
"leaderboard_page_url": "https://www.vals.ai/benchmarks/mmlu_pro",
|
| 18 |
+
"extraction_method": "static_astro_benchmark_view_props"
|
| 19 |
+
}
|
| 20 |
+
},
|
| 21 |
+
"eval_library": {
|
| 22 |
+
"name": "Vals.ai",
|
| 23 |
+
"version": "unknown"
|
| 24 |
+
},
|
| 25 |
+
"model_info": {
|
| 26 |
+
"name": "qwen3.5-flash",
|
| 27 |
+
"id": "alibaba/qwen3.5-flash",
|
| 28 |
+
"developer": "alibaba",
|
| 29 |
+
"additional_details": {
|
| 30 |
+
"vals_model_id": "alibaba/qwen3.5-flash",
|
| 31 |
+
"vals_provider": "Alibaba"
|
| 32 |
+
}
|
| 33 |
+
},
|
| 34 |
+
"evaluation_results": [
|
| 35 |
+
{
|
| 36 |
+
"evaluation_result_id": "mmlu_pro:biology:alibaba/qwen3.5-flash:score",
|
| 37 |
+
"evaluation_name": "vals_ai.mmlu_pro.biology",
|
| 38 |
+
"source_data": {
|
| 39 |
+
"dataset_name": "MMLU Pro - Biology",
|
| 40 |
+
"source_type": "url",
|
| 41 |
+
"url": [
|
| 42 |
+
"https://www.vals.ai/benchmarks/mmlu_pro"
|
| 43 |
+
],
|
| 44 |
+
"additional_details": {
|
| 45 |
+
"benchmark_slug": "mmlu_pro",
|
| 46 |
+
"task_key": "biology",
|
| 47 |
+
"dataset_type": "public",
|
| 48 |
+
"leaderboard_page_url": "https://www.vals.ai/benchmarks/mmlu_pro"
|
| 49 |
+
}
|
| 50 |
+
},
|
| 51 |
+
"metric_config": {
|
| 52 |
+
"evaluation_description": "Accuracy reported by Vals.ai for MMLU Pro (Biology).",
|
| 53 |
+
"metric_id": "vals_ai.mmlu_pro.biology.accuracy",
|
| 54 |
+
"metric_name": "Accuracy",
|
| 55 |
+
"metric_kind": "accuracy",
|
| 56 |
+
"metric_unit": "percent",
|
| 57 |
+
"lower_is_better": false,
|
| 58 |
+
"score_type": "continuous",
|
| 59 |
+
"min_score": 0.0,
|
| 60 |
+
"max_score": 100.0,
|
| 61 |
+
"additional_details": {
|
| 62 |
+
"score_scale": "percent_0_to_100",
|
| 63 |
+
"max_score_source": "fixed_percentage_bound",
|
| 64 |
+
"leaderboard_page_url": "https://www.vals.ai/benchmarks/mmlu_pro"
|
| 65 |
+
}
|
| 66 |
+
},
|
| 67 |
+
"score_details": {
|
| 68 |
+
"score": 93.026,
|
| 69 |
+
"details": {
|
| 70 |
+
"benchmark_slug": "mmlu_pro",
|
| 71 |
+
"benchmark_name": "MMLU Pro",
|
| 72 |
+
"benchmark_updated": "2026-06-17",
|
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data/vals_ai/alibaba/qwen3.5-flash/a56142e1-6958-4eb2-8205-a9430732bad5.json
ADDED
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@@ -0,0 +1,231 @@
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data/vals_ai/alibaba/qwen3.5-flash/af3312fb-63bd-4475-8804-73fadcca17ef.json
ADDED
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@@ -0,0 +1,296 @@
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data/vals_ai/alibaba/qwen3.5-flash/cbbf2185-4e1e-4de9-a005-1ca6f39acea5.json
ADDED
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@@ -0,0 +1,284 @@
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| 1 |
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data/vals_ai/alibaba/qwen3.5-flash/d8ace962-afc3-4c97-abc0-24e92fc2af70.json
ADDED
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@@ -0,0 +1,101 @@
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| 97 |
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|
| 98 |
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| 99 |
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| 100 |
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| 101 |
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|
data/vals_ai/alibaba/qwen3.5-flash/f8d14e29-de4c-4867-846f-552c714c2114.json
ADDED
|
@@ -0,0 +1,222 @@
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| 1 |
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| 214 |
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|
data/vals_ai/alibaba/qwen3.5-plus-thinking/1f472c08-1ec6-4a4e-9830-09d1a974682a.json
ADDED
|
@@ -0,0 +1,361 @@
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