Add files using upload-large-folder tool
Browse files- .eval_results/gpqa_diamond.yaml +9 -0
- .eval_results/mmlu_pro.yaml +9 -0
- .gitattributes +1 -0
- README.md +21 -0
- benchmark_report.json +3246 -0
- chat_template.jinja +89 -0
- config.json +63 -0
- generation_config.json +12 -0
- model.safetensors +3 -0
- tokenizer.json +3 -0
- tokenizer_config.json +30 -0
- training_args.bin +3 -0
.eval_results/gpqa_diamond.yaml
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- dataset:
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id: Idavidrein/gpqa
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task_id: gpqa_diamond
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value: 0.226562
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source:
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url: https://huggingface.co/datasets/Idavidrein/gpqa
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name: Local Modal GPQA Diamond benchmark
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| 8 |
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user: Surpem
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notes: local multiple-choice accuracy run; no dataset examples included in report
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.eval_results/mmlu_pro.yaml
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- dataset:
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id: TIGER-Lab/MMLU-Pro
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task_id: multiple_choice
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value: 0.304688
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source:
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url: https://huggingface.co/datasets/TIGER-Lab/MMLU-Pro
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name: Local Modal MMLU-Pro benchmark
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user: Surpem
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notes: local multiple-choice accuracy run
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.gitattributes
CHANGED
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
CHANGED
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@@ -1,3 +1,24 @@
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---
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license: apache-2.0
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---
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---
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license: apache-2.0
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language:
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- en
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base_model:
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- Qwen/Qwen3-1.7B
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pipeline_tag: text-generation
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library_name: transformers
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tags:
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- instruction-tuned
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- coding
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- math
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- science
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- security
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- general-chat
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- qwen3
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- pytorch
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---
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# Supertron2-1.7B
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Supertron2-1.7B is a general-purpose instruction-tuned language model fine-tuned from Qwen/Qwen3-1.7B.
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It is trained for general chat, coding, math, science reasoning, broad knowledge, and defensive security assistance.
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benchmark_report.json
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|
|
| 1 |
+
{
|
| 2 |
+
"model_source": "latest",
|
| 3 |
+
"resolved_model": "/artifacts/20260514-174711/full-safetensors",
|
| 4 |
+
"attention_impl": "sdpa",
|
| 5 |
+
"note": "Local Modal benchmark run. GPQA examples are not included in this report.",
|
| 6 |
+
"benchmarks": {
|
| 7 |
+
"gpqa_diamond": {
|
| 8 |
+
"dataset": "Idavidrein/gpqa",
|
| 9 |
+
"config": "gpqa_diamond",
|
| 10 |
+
"split": "train",
|
| 11 |
+
"metric": "multiple_choice_accuracy",
|
| 12 |
+
"value": 0.2265625,
|
| 13 |
+
"correct": 29,
|
| 14 |
+
"total": 128,
|
| 15 |
+
"samples": [
|
| 16 |
+
{
|
| 17 |
+
"row": 0,
|
| 18 |
+
"target": "D",
|
| 19 |
+
"prediction": "C",
|
| 20 |
+
"raw_prediction": "<think>\n\n</think>\n\nC. nucleosome",
|
| 21 |
+
"correct": false
|
| 22 |
+
},
|
| 23 |
+
{
|
| 24 |
+
"row": 1,
|
| 25 |
+
"target": "D",
|
| 26 |
+
"prediction": "D",
|
| 27 |
+
"raw_prediction": "<think>\n\n</think>\n\nD. cytos",
|
| 28 |
+
"correct": true
|
| 29 |
+
},
|
| 30 |
+
{
|
| 31 |
+
"row": 2,
|
| 32 |
+
"target": "B",
|
| 33 |
+
"prediction": "C",
|
| 34 |
+
"raw_prediction": "<think>\n\n</think>\n\nC",
|
| 35 |
+
"correct": false
|
| 36 |
+
},
|
| 37 |
+
{
|
| 38 |
+
"row": 3,
|
| 39 |
+
"target": "A",
|
| 40 |
+
"prediction": "A",
|
| 41 |
+
"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 42 |
+
"correct": true
|
| 43 |
+
},
|
| 44 |
+
{
|
| 45 |
+
"row": 4,
|
| 46 |
+
"target": "D",
|
| 47 |
+
"prediction": "B",
|
| 48 |
+
"raw_prediction": "<think>\n\n</think>\n\nB",
|
| 49 |
+
"correct": false
|
| 50 |
+
},
|
| 51 |
+
{
|
| 52 |
+
"row": 5,
|
| 53 |
+
"target": "C",
|
| 54 |
+
"prediction": "A",
|
| 55 |
+
"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 56 |
+
"correct": false
|
| 57 |
+
},
|
| 58 |
+
{
|
| 59 |
+
"row": 6,
|
| 60 |
+
"target": "C",
|
| 61 |
+
"prediction": "A",
|
| 62 |
+
"raw_prediction": "<think>\n\n</think>\n\nA. 3",
|
| 63 |
+
"correct": false
|
| 64 |
+
},
|
| 65 |
+
{
|
| 66 |
+
"row": 7,
|
| 67 |
+
"target": "D",
|
| 68 |
+
"prediction": "B",
|
| 69 |
+
"raw_prediction": "<think>\n\n</think>\n\nB. the receptor",
|
| 70 |
+
"correct": false
|
| 71 |
+
},
|
| 72 |
+
{
|
| 73 |
+
"row": 8,
|
| 74 |
+
"target": "A",
|
| 75 |
+
"prediction": "B",
|
| 76 |
+
"raw_prediction": "<think>\n\n</think>\n\nB",
|
| 77 |
+
"correct": false
|
| 78 |
+
},
|
| 79 |
+
{
|
| 80 |
+
"row": 9,
|
| 81 |
+
"target": "B",
|
| 82 |
+
"prediction": "C",
|
| 83 |
+
"raw_prediction": "<think>\n</think>\n\nTo calculate the imaginary",
|
| 84 |
+
"correct": false
|
| 85 |
+
},
|
| 86 |
+
{
|
| 87 |
+
"row": 10,
|
| 88 |
+
"target": "C",
|
| 89 |
+
"prediction": "A",
|
| 90 |
+
"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 91 |
+
"correct": false
|
| 92 |
+
},
|
| 93 |
+
{
|
| 94 |
+
"row": 11,
|
| 95 |
+
"target": "A",
|
| 96 |
+
"prediction": "A",
|
| 97 |
+
"raw_prediction": "<think>\n\n</think>\n\nThe mass dimension of",
|
| 98 |
+
"correct": true
|
| 99 |
+
},
|
| 100 |
+
{
|
| 101 |
+
"row": 12,
|
| 102 |
+
"target": "A",
|
| 103 |
+
"prediction": "C",
|
| 104 |
+
"raw_prediction": "<think>\n\n</think>\n\nC",
|
| 105 |
+
"correct": false
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"row": 13,
|
| 109 |
+
"target": "D",
|
| 110 |
+
"prediction": "B",
|
| 111 |
+
"raw_prediction": "<think>\n\n</think>\n\nB",
|
| 112 |
+
"correct": false
|
| 113 |
+
},
|
| 114 |
+
{
|
| 115 |
+
"row": 14,
|
| 116 |
+
"target": "D",
|
| 117 |
+
"prediction": "A",
|
| 118 |
+
"raw_prediction": "<think>\n</think>\n\nThe mean decay distance",
|
| 119 |
+
"correct": false
|
| 120 |
+
},
|
| 121 |
+
{
|
| 122 |
+
"row": 15,
|
| 123 |
+
"target": "D",
|
| 124 |
+
"prediction": "B",
|
| 125 |
+
"raw_prediction": "<think>\n\n</think>\n\nB",
|
| 126 |
+
"correct": false
|
| 127 |
+
},
|
| 128 |
+
{
|
| 129 |
+
"row": 16,
|
| 130 |
+
"target": "C",
|
| 131 |
+
"prediction": "B",
|
| 132 |
+
"raw_prediction": "<think>\n\n</think>\n\nB",
|
| 133 |
+
"correct": false
|
| 134 |
+
},
|
| 135 |
+
{
|
| 136 |
+
"row": 17,
|
| 137 |
+
"target": "C",
|
| 138 |
+
"prediction": "C",
|
| 139 |
+
"raw_prediction": "<think>\n\n</think>\n\nC",
|
| 140 |
+
"correct": true
|
| 141 |
+
},
|
| 142 |
+
{
|
| 143 |
+
"row": 18,
|
| 144 |
+
"target": "B",
|
| 145 |
+
"prediction": "C",
|
| 146 |
+
"raw_prediction": "<think>\n</think>\n\nTo calculate the non",
|
| 147 |
+
"correct": false
|
| 148 |
+
},
|
| 149 |
+
{
|
| 150 |
+
"row": 19,
|
| 151 |
+
"target": "C",
|
| 152 |
+
"prediction": "C",
|
| 153 |
+
"raw_prediction": "<think>\n</think>\n\nThe correct answer is",
|
| 154 |
+
"correct": true
|
| 155 |
+
},
|
| 156 |
+
{
|
| 157 |
+
"row": 20,
|
| 158 |
+
"target": "C",
|
| 159 |
+
"prediction": "B",
|
| 160 |
+
"raw_prediction": "<think>\n\n</think>\n\nB",
|
| 161 |
+
"correct": false
|
| 162 |
+
},
|
| 163 |
+
{
|
| 164 |
+
"row": 21,
|
| 165 |
+
"target": "A",
|
| 166 |
+
"prediction": "B",
|
| 167 |
+
"raw_prediction": "<think>\n\n</think>\n\nB. Magnon",
|
| 168 |
+
"correct": false
|
| 169 |
+
},
|
| 170 |
+
{
|
| 171 |
+
"row": 22,
|
| 172 |
+
"target": "C",
|
| 173 |
+
"prediction": "A",
|
| 174 |
+
"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 175 |
+
"correct": false
|
| 176 |
+
},
|
| 177 |
+
{
|
| 178 |
+
"row": 23,
|
| 179 |
+
"target": "A",
|
| 180 |
+
"prediction": "A",
|
| 181 |
+
"raw_prediction": "<think>\nOkay, let's try to",
|
| 182 |
+
"correct": true
|
| 183 |
+
},
|
| 184 |
+
{
|
| 185 |
+
"row": 24,
|
| 186 |
+
"target": "D",
|
| 187 |
+
"prediction": "A",
|
| 188 |
+
"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 189 |
+
"correct": false
|
| 190 |
+
},
|
| 191 |
+
{
|
| 192 |
+
"row": 25,
|
| 193 |
+
"target": "D",
|
| 194 |
+
"prediction": "B",
|
| 195 |
+
"raw_prediction": "<think>\n\n</think>\n\nB. ~0",
|
| 196 |
+
"correct": false
|
| 197 |
+
},
|
| 198 |
+
{
|
| 199 |
+
"row": 26,
|
| 200 |
+
"target": "B",
|
| 201 |
+
"prediction": "B",
|
| 202 |
+
"raw_prediction": "<think>\n\n</think>\n\nB",
|
| 203 |
+
"correct": true
|
| 204 |
+
},
|
| 205 |
+
{
|
| 206 |
+
"row": 27,
|
| 207 |
+
"target": "D",
|
| 208 |
+
"prediction": "B",
|
| 209 |
+
"raw_prediction": "<think>\n\n</think>\n\nB. ~",
|
| 210 |
+
"correct": false
|
| 211 |
+
},
|
| 212 |
+
{
|
| 213 |
+
"row": 28,
|
| 214 |
+
"target": "D",
|
| 215 |
+
"prediction": "B",
|
| 216 |
+
"raw_prediction": "<think>\n\n</think>\n\nB",
|
| 217 |
+
"correct": false
|
| 218 |
+
},
|
| 219 |
+
{
|
| 220 |
+
"row": 29,
|
| 221 |
+
"target": "B",
|
| 222 |
+
"prediction": "A",
|
| 223 |
+
"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 224 |
+
"correct": false
|
| 225 |
+
},
|
| 226 |
+
{
|
| 227 |
+
"row": 30,
|
| 228 |
+
"target": "D",
|
| 229 |
+
"prediction": "A",
|
| 230 |
+
"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 231 |
+
"correct": false
|
| 232 |
+
},
|
| 233 |
+
{
|
| 234 |
+
"row": 31,
|
| 235 |
+
"target": "C",
|
| 236 |
+
"prediction": "A",
|
| 237 |
+
"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 238 |
+
"correct": false
|
| 239 |
+
},
|
| 240 |
+
{
|
| 241 |
+
"row": 32,
|
| 242 |
+
"target": "D",
|
| 243 |
+
"prediction": "B",
|
| 244 |
+
"raw_prediction": "<think>\n\n</think>\n\nThe orbital period of",
|
| 245 |
+
"correct": false
|
| 246 |
+
},
|
| 247 |
+
{
|
| 248 |
+
"row": 33,
|
| 249 |
+
"target": "A",
|
| 250 |
+
"prediction": "A",
|
| 251 |
+
"raw_prediction": "<think>\n\n</think>\n\nThe factor by which",
|
| 252 |
+
"correct": true
|
| 253 |
+
},
|
| 254 |
+
{
|
| 255 |
+
"row": 34,
|
| 256 |
+
"target": "A",
|
| 257 |
+
"prediction": "D",
|
| 258 |
+
"raw_prediction": "<think>\n\n</think>\n\nD",
|
| 259 |
+
"correct": false
|
| 260 |
+
},
|
| 261 |
+
{
|
| 262 |
+
"row": 35,
|
| 263 |
+
"target": "B",
|
| 264 |
+
"prediction": "B",
|
| 265 |
+
"raw_prediction": "<think>\n\n</think>\n\nB",
|
| 266 |
+
"correct": true
|
| 267 |
+
},
|
| 268 |
+
{
|
| 269 |
+
"row": 36,
|
| 270 |
+
"target": "C",
|
| 271 |
+
"prediction": "B",
|
| 272 |
+
"raw_prediction": "<think>\n\n</think>\n\nB",
|
| 273 |
+
"correct": false
|
| 274 |
+
},
|
| 275 |
+
{
|
| 276 |
+
"row": 37,
|
| 277 |
+
"target": "A",
|
| 278 |
+
"prediction": "C",
|
| 279 |
+
"raw_prediction": "<think>\n\n</think>\n\nThe correct answer is",
|
| 280 |
+
"correct": false
|
| 281 |
+
},
|
| 282 |
+
{
|
| 283 |
+
"row": 38,
|
| 284 |
+
"target": "A",
|
| 285 |
+
"prediction": "C",
|
| 286 |
+
"raw_prediction": "<think>\n</think>\n\nNone of the choices",
|
| 287 |
+
"correct": false
|
| 288 |
+
},
|
| 289 |
+
{
|
| 290 |
+
"row": 39,
|
| 291 |
+
"target": "A",
|
| 292 |
+
"prediction": "B",
|
| 293 |
+
"raw_prediction": "<think>\n\n</think>\n\nB",
|
| 294 |
+
"correct": false
|
| 295 |
+
},
|
| 296 |
+
{
|
| 297 |
+
"row": 40,
|
| 298 |
+
"target": "A",
|
| 299 |
+
"prediction": "C",
|
| 300 |
+
"raw_prediction": "<think>\n\n</think>\n\nThe correct answer is",
|
| 301 |
+
"correct": false
|
| 302 |
+
},
|
| 303 |
+
{
|
| 304 |
+
"row": 41,
|
| 305 |
+
"target": "B",
|
| 306 |
+
"prediction": "B",
|
| 307 |
+
"raw_prediction": "<think>\n\n</think>\n\nB",
|
| 308 |
+
"correct": true
|
| 309 |
+
},
|
| 310 |
+
{
|
| 311 |
+
"row": 42,
|
| 312 |
+
"target": "C",
|
| 313 |
+
"prediction": "B",
|
| 314 |
+
"raw_prediction": "<think>\n\n</think>\n\nB",
|
| 315 |
+
"correct": false
|
| 316 |
+
},
|
| 317 |
+
{
|
| 318 |
+
"row": 43,
|
| 319 |
+
"target": "B",
|
| 320 |
+
"prediction": "A",
|
| 321 |
+
"raw_prediction": "<think>\n\n</think>\n\nA. Violet",
|
| 322 |
+
"correct": false
|
| 323 |
+
},
|
| 324 |
+
{
|
| 325 |
+
"row": 44,
|
| 326 |
+
"target": "D",
|
| 327 |
+
"prediction": "A",
|
| 328 |
+
"raw_prediction": "<think>\nOkay, let's try to",
|
| 329 |
+
"correct": false
|
| 330 |
+
},
|
| 331 |
+
{
|
| 332 |
+
"row": 45,
|
| 333 |
+
"target": "B",
|
| 334 |
+
"prediction": "A",
|
| 335 |
+
"raw_prediction": "<think>\nOkay, let's try to",
|
| 336 |
+
"correct": false
|
| 337 |
+
},
|
| 338 |
+
{
|
| 339 |
+
"row": 46,
|
| 340 |
+
"target": "C",
|
| 341 |
+
"prediction": "D",
|
| 342 |
+
"raw_prediction": "<think>\n\n</think>\n\nThe answer is D",
|
| 343 |
+
"correct": false
|
| 344 |
+
},
|
| 345 |
+
{
|
| 346 |
+
"row": 47,
|
| 347 |
+
"target": "D",
|
| 348 |
+
"prediction": "B",
|
| 349 |
+
"raw_prediction": "<think>\n\n</think>\n\nB",
|
| 350 |
+
"correct": false
|
| 351 |
+
},
|
| 352 |
+
{
|
| 353 |
+
"row": 48,
|
| 354 |
+
"target": "B",
|
| 355 |
+
"prediction": "D",
|
| 356 |
+
"raw_prediction": "<think>\n\n</think>\n\nD",
|
| 357 |
+
"correct": false
|
| 358 |
+
},
|
| 359 |
+
{
|
| 360 |
+
"row": 49,
|
| 361 |
+
"target": "D",
|
| 362 |
+
"prediction": "A",
|
| 363 |
+
"raw_prediction": "<think>\nOkay, let's try to",
|
| 364 |
+
"correct": false
|
| 365 |
+
},
|
| 366 |
+
{
|
| 367 |
+
"row": 50,
|
| 368 |
+
"target": "A",
|
| 369 |
+
"prediction": "A",
|
| 370 |
+
"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 371 |
+
"correct": true
|
| 372 |
+
},
|
| 373 |
+
{
|
| 374 |
+
"row": 51,
|
| 375 |
+
"target": "A",
|
| 376 |
+
"prediction": "A",
|
| 377 |
+
"raw_prediction": "<think>\nOkay, let's try to",
|
| 378 |
+
"correct": true
|
| 379 |
+
},
|
| 380 |
+
{
|
| 381 |
+
"row": 52,
|
| 382 |
+
"target": "C",
|
| 383 |
+
"prediction": "B",
|
| 384 |
+
"raw_prediction": "<think>\n\n</think>\n\nB. 4",
|
| 385 |
+
"correct": false
|
| 386 |
+
},
|
| 387 |
+
{
|
| 388 |
+
"row": 53,
|
| 389 |
+
"target": "B",
|
| 390 |
+
"prediction": "D",
|
| 391 |
+
"raw_prediction": "<think>\n</think>\n\nTo determine the structure",
|
| 392 |
+
"correct": false
|
| 393 |
+
},
|
| 394 |
+
{
|
| 395 |
+
"row": 54,
|
| 396 |
+
"target": "A",
|
| 397 |
+
"prediction": "C",
|
| 398 |
+
"raw_prediction": "<think>\n\n</think>\n\nThe correct answer is",
|
| 399 |
+
"correct": false
|
| 400 |
+
},
|
| 401 |
+
{
|
| 402 |
+
"row": 55,
|
| 403 |
+
"target": "A",
|
| 404 |
+
"prediction": "C",
|
| 405 |
+
"raw_prediction": "<think>\n\n</think>\n\nC",
|
| 406 |
+
"correct": false
|
| 407 |
+
},
|
| 408 |
+
{
|
| 409 |
+
"row": 56,
|
| 410 |
+
"target": "B",
|
| 411 |
+
"prediction": "C",
|
| 412 |
+
"raw_prediction": "<think>\n\n</think>\n\nThe correct answer is",
|
| 413 |
+
"correct": false
|
| 414 |
+
},
|
| 415 |
+
{
|
| 416 |
+
"row": 57,
|
| 417 |
+
"target": "B",
|
| 418 |
+
"prediction": "C",
|
| 419 |
+
"raw_prediction": "<think>\n\n</think>\n\nThe correct answer is",
|
| 420 |
+
"correct": false
|
| 421 |
+
},
|
| 422 |
+
{
|
| 423 |
+
"row": 58,
|
| 424 |
+
"target": "A",
|
| 425 |
+
"prediction": "C",
|
| 426 |
+
"raw_prediction": "<think>\n\n</think>\n\nThe correct answer is",
|
| 427 |
+
"correct": false
|
| 428 |
+
},
|
| 429 |
+
{
|
| 430 |
+
"row": 59,
|
| 431 |
+
"target": "A",
|
| 432 |
+
"prediction": "A",
|
| 433 |
+
"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 434 |
+
"correct": true
|
| 435 |
+
},
|
| 436 |
+
{
|
| 437 |
+
"row": 60,
|
| 438 |
+
"target": "A",
|
| 439 |
+
"prediction": "A",
|
| 440 |
+
"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 441 |
+
"correct": true
|
| 442 |
+
},
|
| 443 |
+
{
|
| 444 |
+
"row": 61,
|
| 445 |
+
"target": "B",
|
| 446 |
+
"prediction": "D",
|
| 447 |
+
"raw_prediction": "<think>\n</think>\n\nTo find the normalized",
|
| 448 |
+
"correct": false
|
| 449 |
+
},
|
| 450 |
+
{
|
| 451 |
+
"row": 62,
|
| 452 |
+
"target": "D",
|
| 453 |
+
"prediction": "A",
|
| 454 |
+
"raw_prediction": "<think>\nOkay, let's try to",
|
| 455 |
+
"correct": false
|
| 456 |
+
},
|
| 457 |
+
{
|
| 458 |
+
"row": 63,
|
| 459 |
+
"target": "B",
|
| 460 |
+
"prediction": "C",
|
| 461 |
+
"raw_prediction": "<think>\n\n</think>\n\nThe correct answer is",
|
| 462 |
+
"correct": false
|
| 463 |
+
},
|
| 464 |
+
{
|
| 465 |
+
"row": 64,
|
| 466 |
+
"target": "C",
|
| 467 |
+
"prediction": "D",
|
| 468 |
+
"raw_prediction": "<think>\n\n</think>\n\nD",
|
| 469 |
+
"correct": false
|
| 470 |
+
},
|
| 471 |
+
{
|
| 472 |
+
"row": 65,
|
| 473 |
+
"target": "A",
|
| 474 |
+
"prediction": "D",
|
| 475 |
+
"raw_prediction": "<think>\n\n</think>\n\nD",
|
| 476 |
+
"correct": false
|
| 477 |
+
},
|
| 478 |
+
{
|
| 479 |
+
"row": 66,
|
| 480 |
+
"target": "B",
|
| 481 |
+
"prediction": "C",
|
| 482 |
+
"raw_prediction": "<think>\n</think>\n\nThe correct answer is",
|
| 483 |
+
"correct": false
|
| 484 |
+
},
|
| 485 |
+
{
|
| 486 |
+
"row": 67,
|
| 487 |
+
"target": "C",
|
| 488 |
+
"prediction": "C",
|
| 489 |
+
"raw_prediction": "<think>\n</think>\n\nThe correct answer is",
|
| 490 |
+
"correct": true
|
| 491 |
+
},
|
| 492 |
+
{
|
| 493 |
+
"row": 68,
|
| 494 |
+
"target": "B",
|
| 495 |
+
"prediction": "A",
|
| 496 |
+
"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 497 |
+
"correct": false
|
| 498 |
+
},
|
| 499 |
+
{
|
| 500 |
+
"row": 69,
|
| 501 |
+
"target": "A",
|
| 502 |
+
"prediction": "A",
|
| 503 |
+
"raw_prediction": "<think>\n\n</think>\n\nA. Mutant",
|
| 504 |
+
"correct": true
|
| 505 |
+
},
|
| 506 |
+
{
|
| 507 |
+
"row": 70,
|
| 508 |
+
"target": "A",
|
| 509 |
+
"prediction": "A",
|
| 510 |
+
"raw_prediction": "<think>\nOkay, let's try to",
|
| 511 |
+
"correct": true
|
| 512 |
+
},
|
| 513 |
+
{
|
| 514 |
+
"row": 71,
|
| 515 |
+
"target": "D",
|
| 516 |
+
"prediction": "B",
|
| 517 |
+
"raw_prediction": "<think>\n\n</think>\n\nB",
|
| 518 |
+
"correct": false
|
| 519 |
+
},
|
| 520 |
+
{
|
| 521 |
+
"row": 72,
|
| 522 |
+
"target": "B",
|
| 523 |
+
"prediction": "D",
|
| 524 |
+
"raw_prediction": "<think>\n\n</think>\n\nD",
|
| 525 |
+
"correct": false
|
| 526 |
+
},
|
| 527 |
+
{
|
| 528 |
+
"row": 73,
|
| 529 |
+
"target": "C",
|
| 530 |
+
"prediction": "D",
|
| 531 |
+
"raw_prediction": "<think>\n</think>\n\nTo find the concentration",
|
| 532 |
+
"correct": false
|
| 533 |
+
},
|
| 534 |
+
{
|
| 535 |
+
"row": 74,
|
| 536 |
+
"target": "C",
|
| 537 |
+
"prediction": "C",
|
| 538 |
+
"raw_prediction": "<think>\n\n</think>\n\nC",
|
| 539 |
+
"correct": true
|
| 540 |
+
},
|
| 541 |
+
{
|
| 542 |
+
"row": 75,
|
| 543 |
+
"target": "C",
|
| 544 |
+
"prediction": "A",
|
| 545 |
+
"raw_prediction": "<think>\nOkay, let's try to",
|
| 546 |
+
"correct": false
|
| 547 |
+
},
|
| 548 |
+
{
|
| 549 |
+
"row": 76,
|
| 550 |
+
"target": "B",
|
| 551 |
+
"prediction": "B",
|
| 552 |
+
"raw_prediction": "<think>\n\n</think>\n\nB",
|
| 553 |
+
"correct": true
|
| 554 |
+
},
|
| 555 |
+
{
|
| 556 |
+
"row": 77,
|
| 557 |
+
"target": "C",
|
| 558 |
+
"prediction": "A",
|
| 559 |
+
"raw_prediction": "<think>\nOkay, let's try to",
|
| 560 |
+
"correct": false
|
| 561 |
+
},
|
| 562 |
+
{
|
| 563 |
+
"row": 78,
|
| 564 |
+
"target": "C",
|
| 565 |
+
"prediction": "D",
|
| 566 |
+
"raw_prediction": "<think>\n\n</think>\n\nD",
|
| 567 |
+
"correct": false
|
| 568 |
+
},
|
| 569 |
+
{
|
| 570 |
+
"row": 79,
|
| 571 |
+
"target": "D",
|
| 572 |
+
"prediction": "D",
|
| 573 |
+
"raw_prediction": "<think>\n\n</think>\n\nD",
|
| 574 |
+
"correct": true
|
| 575 |
+
},
|
| 576 |
+
{
|
| 577 |
+
"row": 80,
|
| 578 |
+
"target": "A",
|
| 579 |
+
"prediction": "C",
|
| 580 |
+
"raw_prediction": "<think>\n\n</think>\n\nC",
|
| 581 |
+
"correct": false
|
| 582 |
+
},
|
| 583 |
+
{
|
| 584 |
+
"row": 81,
|
| 585 |
+
"target": "D",
|
| 586 |
+
"prediction": "B",
|
| 587 |
+
"raw_prediction": "<think>\n</think>\n\nB. (9",
|
| 588 |
+
"correct": false
|
| 589 |
+
},
|
| 590 |
+
{
|
| 591 |
+
"row": 82,
|
| 592 |
+
"target": "B",
|
| 593 |
+
"prediction": "B",
|
| 594 |
+
"raw_prediction": "<think>\n\n</think>\n\nB",
|
| 595 |
+
"correct": true
|
| 596 |
+
},
|
| 597 |
+
{
|
| 598 |
+
"row": 83,
|
| 599 |
+
"target": "C",
|
| 600 |
+
"prediction": "A",
|
| 601 |
+
"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 602 |
+
"correct": false
|
| 603 |
+
},
|
| 604 |
+
{
|
| 605 |
+
"row": 84,
|
| 606 |
+
"target": "D",
|
| 607 |
+
"prediction": "C",
|
| 608 |
+
"raw_prediction": "<think>\n\n</think>\n\nC. At repeats",
|
| 609 |
+
"correct": false
|
| 610 |
+
},
|
| 611 |
+
{
|
| 612 |
+
"row": 85,
|
| 613 |
+
"target": "D",
|
| 614 |
+
"prediction": "A",
|
| 615 |
+
"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 616 |
+
"correct": false
|
| 617 |
+
},
|
| 618 |
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{
|
| 619 |
+
"row": 86,
|
| 620 |
+
"target": "A",
|
| 621 |
+
"prediction": "B",
|
| 622 |
+
"raw_prediction": "<think>\n\n</think>\n\nB",
|
| 623 |
+
"correct": false
|
| 624 |
+
},
|
| 625 |
+
{
|
| 626 |
+
"row": 87,
|
| 627 |
+
"target": "C",
|
| 628 |
+
"prediction": "A",
|
| 629 |
+
"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 630 |
+
"correct": false
|
| 631 |
+
},
|
| 632 |
+
{
|
| 633 |
+
"row": 88,
|
| 634 |
+
"target": "A",
|
| 635 |
+
"prediction": "B",
|
| 636 |
+
"raw_prediction": "<think>\n\n</think>\n\nB",
|
| 637 |
+
"correct": false
|
| 638 |
+
},
|
| 639 |
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{
|
| 640 |
+
"row": 89,
|
| 641 |
+
"target": "B",
|
| 642 |
+
"prediction": "C",
|
| 643 |
+
"raw_prediction": "<think>\n\n</think>\n\nC",
|
| 644 |
+
"correct": false
|
| 645 |
+
},
|
| 646 |
+
{
|
| 647 |
+
"row": 90,
|
| 648 |
+
"target": "C",
|
| 649 |
+
"prediction": "A",
|
| 650 |
+
"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 651 |
+
"correct": false
|
| 652 |
+
},
|
| 653 |
+
{
|
| 654 |
+
"row": 91,
|
| 655 |
+
"target": "A",
|
| 656 |
+
"prediction": "C",
|
| 657 |
+
"raw_prediction": "<think>\n\n</think>\n\nThe correct answer is",
|
| 658 |
+
"correct": false
|
| 659 |
+
},
|
| 660 |
+
{
|
| 661 |
+
"row": 92,
|
| 662 |
+
"target": "B",
|
| 663 |
+
"prediction": "B",
|
| 664 |
+
"raw_prediction": "<think>\n\n</think>\n\nB",
|
| 665 |
+
"correct": true
|
| 666 |
+
},
|
| 667 |
+
{
|
| 668 |
+
"row": 93,
|
| 669 |
+
"target": "A",
|
| 670 |
+
"prediction": "C",
|
| 671 |
+
"raw_prediction": "<think>\n\n</think>\n\nThe correct answer is",
|
| 672 |
+
"correct": false
|
| 673 |
+
},
|
| 674 |
+
{
|
| 675 |
+
"row": 94,
|
| 676 |
+
"target": "B",
|
| 677 |
+
"prediction": "A",
|
| 678 |
+
"raw_prediction": "<think>\n\n</think>\n\nA. 0",
|
| 679 |
+
"correct": false
|
| 680 |
+
},
|
| 681 |
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{
|
| 682 |
+
"row": 95,
|
| 683 |
+
"target": "D",
|
| 684 |
+
"prediction": "A",
|
| 685 |
+
"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 686 |
+
"correct": false
|
| 687 |
+
},
|
| 688 |
+
{
|
| 689 |
+
"row": 96,
|
| 690 |
+
"target": "A",
|
| 691 |
+
"prediction": "B",
|
| 692 |
+
"raw_prediction": "<think>\n\n</think>\n\nB",
|
| 693 |
+
"correct": false
|
| 694 |
+
},
|
| 695 |
+
{
|
| 696 |
+
"row": 97,
|
| 697 |
+
"target": "D",
|
| 698 |
+
"prediction": "C",
|
| 699 |
+
"raw_prediction": "<think>\n\n</think>\n\nC",
|
| 700 |
+
"correct": false
|
| 701 |
+
},
|
| 702 |
+
{
|
| 703 |
+
"row": 98,
|
| 704 |
+
"target": "D",
|
| 705 |
+
"prediction": "B",
|
| 706 |
+
"raw_prediction": "<think>\n\n</think>\n\nB. 1",
|
| 707 |
+
"correct": false
|
| 708 |
+
},
|
| 709 |
+
{
|
| 710 |
+
"row": 99,
|
| 711 |
+
"target": "D",
|
| 712 |
+
"prediction": "B",
|
| 713 |
+
"raw_prediction": "<think>\n\n</think>\n\nB",
|
| 714 |
+
"correct": false
|
| 715 |
+
},
|
| 716 |
+
{
|
| 717 |
+
"row": 100,
|
| 718 |
+
"target": "C",
|
| 719 |
+
"prediction": "C",
|
| 720 |
+
"raw_prediction": "<think>\n\n</think>\n\nC",
|
| 721 |
+
"correct": true
|
| 722 |
+
},
|
| 723 |
+
{
|
| 724 |
+
"row": 101,
|
| 725 |
+
"target": "C",
|
| 726 |
+
"prediction": "B",
|
| 727 |
+
"raw_prediction": "<think>\n\n</think>\n\nB. 4",
|
| 728 |
+
"correct": false
|
| 729 |
+
},
|
| 730 |
+
{
|
| 731 |
+
"row": 102,
|
| 732 |
+
"target": "C",
|
| 733 |
+
"prediction": "B",
|
| 734 |
+
"raw_prediction": "<think>\n\n</think>\n\nB",
|
| 735 |
+
"correct": false
|
| 736 |
+
},
|
| 737 |
+
{
|
| 738 |
+
"row": 103,
|
| 739 |
+
"target": "B",
|
| 740 |
+
"prediction": "A",
|
| 741 |
+
"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 742 |
+
"correct": false
|
| 743 |
+
},
|
| 744 |
+
{
|
| 745 |
+
"row": 104,
|
| 746 |
+
"target": "C",
|
| 747 |
+
"prediction": "C",
|
| 748 |
+
"raw_prediction": "<think>\n\n</think>\n\nC",
|
| 749 |
+
"correct": true
|
| 750 |
+
},
|
| 751 |
+
{
|
| 752 |
+
"row": 105,
|
| 753 |
+
"target": "A",
|
| 754 |
+
"prediction": "A",
|
| 755 |
+
"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 756 |
+
"correct": true
|
| 757 |
+
},
|
| 758 |
+
{
|
| 759 |
+
"row": 106,
|
| 760 |
+
"target": "B",
|
| 761 |
+
"prediction": "B",
|
| 762 |
+
"raw_prediction": "<think>\n\n</think>\n\nB",
|
| 763 |
+
"correct": true
|
| 764 |
+
},
|
| 765 |
+
{
|
| 766 |
+
"row": 107,
|
| 767 |
+
"target": "D",
|
| 768 |
+
"prediction": "B",
|
| 769 |
+
"raw_prediction": "<think>\n\n</think>\n\nB. 5",
|
| 770 |
+
"correct": false
|
| 771 |
+
},
|
| 772 |
+
{
|
| 773 |
+
"row": 108,
|
| 774 |
+
"target": "B",
|
| 775 |
+
"prediction": "A",
|
| 776 |
+
"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 777 |
+
"correct": false
|
| 778 |
+
},
|
| 779 |
+
{
|
| 780 |
+
"row": 109,
|
| 781 |
+
"target": "B",
|
| 782 |
+
"prediction": "A",
|
| 783 |
+
"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 784 |
+
"correct": false
|
| 785 |
+
},
|
| 786 |
+
{
|
| 787 |
+
"row": 110,
|
| 788 |
+
"target": "B",
|
| 789 |
+
"prediction": "A",
|
| 790 |
+
"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 791 |
+
"correct": false
|
| 792 |
+
},
|
| 793 |
+
{
|
| 794 |
+
"row": 111,
|
| 795 |
+
"target": "C",
|
| 796 |
+
"prediction": "B",
|
| 797 |
+
"raw_prediction": "<think>\n\n</think>\n\nB. ~ r",
|
| 798 |
+
"correct": false
|
| 799 |
+
},
|
| 800 |
+
{
|
| 801 |
+
"row": 112,
|
| 802 |
+
"target": "A",
|
| 803 |
+
"prediction": "B",
|
| 804 |
+
"raw_prediction": "<think>\n</think>\n\nTo solve this problem",
|
| 805 |
+
"correct": false
|
| 806 |
+
},
|
| 807 |
+
{
|
| 808 |
+
"row": 113,
|
| 809 |
+
"target": "A",
|
| 810 |
+
"prediction": "B",
|
| 811 |
+
"raw_prediction": "<think>\n\n</think>\n\nB",
|
| 812 |
+
"correct": false
|
| 813 |
+
},
|
| 814 |
+
{
|
| 815 |
+
"row": 114,
|
| 816 |
+
"target": "B",
|
| 817 |
+
"prediction": "B",
|
| 818 |
+
"raw_prediction": "<think>\n\n</think>\n\nB",
|
| 819 |
+
"correct": true
|
| 820 |
+
},
|
| 821 |
+
{
|
| 822 |
+
"row": 115,
|
| 823 |
+
"target": "C",
|
| 824 |
+
"prediction": "A",
|
| 825 |
+
"raw_prediction": "<think>\n\n</think>\n\nA. 4",
|
| 826 |
+
"correct": false
|
| 827 |
+
},
|
| 828 |
+
{
|
| 829 |
+
"row": 116,
|
| 830 |
+
"target": "C",
|
| 831 |
+
"prediction": "B",
|
| 832 |
+
"raw_prediction": "<think>\n\n</think>\n\nB",
|
| 833 |
+
"correct": false
|
| 834 |
+
},
|
| 835 |
+
{
|
| 836 |
+
"row": 117,
|
| 837 |
+
"target": "C",
|
| 838 |
+
"prediction": "B",
|
| 839 |
+
"raw_prediction": "<think>\n\n</think>\n\nB. stronger \u2013",
|
| 840 |
+
"correct": false
|
| 841 |
+
},
|
| 842 |
+
{
|
| 843 |
+
"row": 118,
|
| 844 |
+
"target": "D",
|
| 845 |
+
"prediction": "B",
|
| 846 |
+
"raw_prediction": "<think>\n</think>\n\nB. 2",
|
| 847 |
+
"correct": false
|
| 848 |
+
},
|
| 849 |
+
{
|
| 850 |
+
"row": 119,
|
| 851 |
+
"target": "B",
|
| 852 |
+
"prediction": "A",
|
| 853 |
+
"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 854 |
+
"correct": false
|
| 855 |
+
},
|
| 856 |
+
{
|
| 857 |
+
"row": 120,
|
| 858 |
+
"target": "D",
|
| 859 |
+
"prediction": "A",
|
| 860 |
+
"raw_prediction": "<think>\n\n</think>\n\nA. 1",
|
| 861 |
+
"correct": false
|
| 862 |
+
},
|
| 863 |
+
{
|
| 864 |
+
"row": 121,
|
| 865 |
+
"target": "B",
|
| 866 |
+
"prediction": "A",
|
| 867 |
+
"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 868 |
+
"correct": false
|
| 869 |
+
},
|
| 870 |
+
{
|
| 871 |
+
"row": 122,
|
| 872 |
+
"target": "D",
|
| 873 |
+
"prediction": "A",
|
| 874 |
+
"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 875 |
+
"correct": false
|
| 876 |
+
},
|
| 877 |
+
{
|
| 878 |
+
"row": 123,
|
| 879 |
+
"target": "D",
|
| 880 |
+
"prediction": "B",
|
| 881 |
+
"raw_prediction": "<think>\n\n</think>\n\nB. 7",
|
| 882 |
+
"correct": false
|
| 883 |
+
},
|
| 884 |
+
{
|
| 885 |
+
"row": 124,
|
| 886 |
+
"target": "A",
|
| 887 |
+
"prediction": "A",
|
| 888 |
+
"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 889 |
+
"correct": true
|
| 890 |
+
},
|
| 891 |
+
{
|
| 892 |
+
"row": 125,
|
| 893 |
+
"target": "C",
|
| 894 |
+
"prediction": "A",
|
| 895 |
+
"raw_prediction": "<think>\nOkay, let's try to",
|
| 896 |
+
"correct": false
|
| 897 |
+
},
|
| 898 |
+
{
|
| 899 |
+
"row": 126,
|
| 900 |
+
"target": "D",
|
| 901 |
+
"prediction": "A",
|
| 902 |
+
"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 903 |
+
"correct": false
|
| 904 |
+
},
|
| 905 |
+
{
|
| 906 |
+
"row": 127,
|
| 907 |
+
"target": "B",
|
| 908 |
+
"prediction": "B",
|
| 909 |
+
"raw_prediction": "<think>\n\n</think>\n\nB",
|
| 910 |
+
"correct": true
|
| 911 |
+
}
|
| 912 |
+
]
|
| 913 |
+
},
|
| 914 |
+
"mmlu_pro": {
|
| 915 |
+
"dataset": "TIGER-Lab/MMLU-Pro",
|
| 916 |
+
"split": "test",
|
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| 1090 |
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| 1092 |
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| 1093 |
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| 1094 |
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| 1096 |
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| 1097 |
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| 1099 |
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| 1101 |
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| 1102 |
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| 1105 |
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| 1107 |
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| 1108 |
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| 1110 |
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| 1111 |
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| 1112 |
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| 1113 |
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| 1114 |
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| 1115 |
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| 1116 |
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| 1117 |
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| 1119 |
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| 1120 |
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| 1121 |
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| 1123 |
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| 1125 |
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| 1126 |
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| 1128 |
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| 1129 |
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| 1130 |
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| 1131 |
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| 1132 |
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| 1133 |
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| 1134 |
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| 1135 |
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{
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| 1138 |
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| 1139 |
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| 1141 |
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| 1142 |
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| 1143 |
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| 1144 |
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{
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| 1146 |
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| 1147 |
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| 1148 |
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| 1149 |
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| 1150 |
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| 1151 |
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| 1152 |
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| 1153 |
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| 1154 |
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{
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| 1155 |
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| 1156 |
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| 1157 |
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| 1158 |
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| 1159 |
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| 1160 |
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| 1161 |
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| 1162 |
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| 1163 |
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{
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| 1164 |
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| 1165 |
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| 1166 |
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| 1167 |
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| 1168 |
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| 1169 |
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| 1170 |
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| 1171 |
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| 1172 |
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{
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| 1173 |
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| 1174 |
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"question_id": 10755,
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| 1175 |
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| 1176 |
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| 1177 |
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| 1178 |
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| 1179 |
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|
| 1180 |
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| 1181 |
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{
|
| 1182 |
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|
| 1183 |
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| 1184 |
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| 1185 |
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|
| 1186 |
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"prediction": "H",
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| 1187 |
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| 1188 |
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|
| 1189 |
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|
| 1190 |
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{
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| 1191 |
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| 1192 |
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|
| 1193 |
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| 1194 |
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| 1195 |
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| 1196 |
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| 1197 |
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| 1198 |
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|
| 1199 |
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{
|
| 1200 |
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|
| 1201 |
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| 1202 |
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| 1203 |
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| 1204 |
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| 1205 |
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| 1206 |
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"correct": false
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| 1207 |
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| 1208 |
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{
|
| 1209 |
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"row": 30,
|
| 1210 |
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"question_id": 2061,
|
| 1211 |
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|
| 1212 |
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|
| 1213 |
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"prediction": "G",
|
| 1214 |
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|
| 1215 |
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|
| 1216 |
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|
| 1217 |
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{
|
| 1218 |
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|
| 1219 |
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|
| 1220 |
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|
| 1221 |
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|
| 1222 |
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|
| 1223 |
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|
| 1224 |
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|
| 1225 |
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| 1226 |
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{
|
| 1227 |
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| 1228 |
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| 1229 |
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| 1230 |
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| 1231 |
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| 1232 |
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| 1233 |
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| 1234 |
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| 1235 |
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{
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| 1236 |
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| 1237 |
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| 1238 |
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| 1239 |
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| 1240 |
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| 1241 |
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| 1242 |
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| 1243 |
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{
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| 1245 |
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| 1246 |
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| 1247 |
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| 1248 |
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| 1249 |
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| 1250 |
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| 1251 |
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| 1252 |
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{
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| 1254 |
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|
| 1255 |
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| 1256 |
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| 1257 |
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| 1258 |
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| 1259 |
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| 1260 |
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|
| 1261 |
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| 1262 |
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{
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| 1263 |
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| 1264 |
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| 1265 |
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| 1266 |
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| 1267 |
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| 1268 |
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| 1269 |
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| 1270 |
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| 1271 |
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{
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| 1272 |
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| 1273 |
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| 1274 |
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| 1275 |
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| 1276 |
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| 1277 |
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| 1278 |
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|
| 1279 |
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| 1280 |
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{
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| 1281 |
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| 1282 |
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| 1283 |
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| 1284 |
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| 1285 |
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| 1286 |
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| 1287 |
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| 1288 |
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| 1289 |
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{
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| 1290 |
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| 1291 |
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| 1292 |
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| 1293 |
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| 1294 |
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| 1295 |
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| 1296 |
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| 1297 |
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| 1298 |
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{
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| 1299 |
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|
| 1300 |
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| 1301 |
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| 1302 |
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| 1303 |
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| 1304 |
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| 1305 |
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| 1306 |
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| 1307 |
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{
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| 1308 |
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| 1309 |
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| 1310 |
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| 1311 |
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| 1312 |
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"prediction": "E",
|
| 1313 |
+
"raw_prediction": "<think>\n\n</think>\n\nE",
|
| 1314 |
+
"correct": true
|
| 1315 |
+
},
|
| 1316 |
+
{
|
| 1317 |
+
"row": 42,
|
| 1318 |
+
"question_id": 12229,
|
| 1319 |
+
"category": "engineering",
|
| 1320 |
+
"target": "C",
|
| 1321 |
+
"prediction": "B",
|
| 1322 |
+
"raw_prediction": "<think>\n\n</think>\n\nB. 8",
|
| 1323 |
+
"correct": false
|
| 1324 |
+
},
|
| 1325 |
+
{
|
| 1326 |
+
"row": 43,
|
| 1327 |
+
"question_id": 2357,
|
| 1328 |
+
"category": "psychology",
|
| 1329 |
+
"target": "I",
|
| 1330 |
+
"prediction": "I",
|
| 1331 |
+
"raw_prediction": "<think>\n\n</think>\n\nI",
|
| 1332 |
+
"correct": true
|
| 1333 |
+
},
|
| 1334 |
+
{
|
| 1335 |
+
"row": 44,
|
| 1336 |
+
"question_id": 651,
|
| 1337 |
+
"category": "business",
|
| 1338 |
+
"target": "I",
|
| 1339 |
+
"prediction": "H",
|
| 1340 |
+
"raw_prediction": "<think>\n\n</think>\n\nThe correct answer is",
|
| 1341 |
+
"correct": false
|
| 1342 |
+
},
|
| 1343 |
+
{
|
| 1344 |
+
"row": 45,
|
| 1345 |
+
"question_id": 9149,
|
| 1346 |
+
"category": "physics",
|
| 1347 |
+
"target": "I",
|
| 1348 |
+
"prediction": "H",
|
| 1349 |
+
"raw_prediction": "<think>\nOkay, let's try to",
|
| 1350 |
+
"correct": false
|
| 1351 |
+
},
|
| 1352 |
+
{
|
| 1353 |
+
"row": 46,
|
| 1354 |
+
"question_id": 3139,
|
| 1355 |
+
"category": "biology",
|
| 1356 |
+
"target": "I",
|
| 1357 |
+
"prediction": "I",
|
| 1358 |
+
"raw_prediction": "<think>\n\n</think>\n\nI",
|
| 1359 |
+
"correct": true
|
| 1360 |
+
},
|
| 1361 |
+
{
|
| 1362 |
+
"row": 47,
|
| 1363 |
+
"question_id": 6953,
|
| 1364 |
+
"category": "economics",
|
| 1365 |
+
"target": "I",
|
| 1366 |
+
"prediction": "I",
|
| 1367 |
+
"raw_prediction": "<think>\n\n</think>\n\nI",
|
| 1368 |
+
"correct": true
|
| 1369 |
+
},
|
| 1370 |
+
{
|
| 1371 |
+
"row": 48,
|
| 1372 |
+
"question_id": 11278,
|
| 1373 |
+
"category": "philosophy",
|
| 1374 |
+
"target": "G",
|
| 1375 |
+
"prediction": "G",
|
| 1376 |
+
"raw_prediction": "<think>\n\n</think>\n\nG",
|
| 1377 |
+
"correct": true
|
| 1378 |
+
},
|
| 1379 |
+
{
|
| 1380 |
+
"row": 49,
|
| 1381 |
+
"question_id": 1457,
|
| 1382 |
+
"category": "law",
|
| 1383 |
+
"target": "E",
|
| 1384 |
+
"prediction": "B",
|
| 1385 |
+
"raw_prediction": "<think>\n\n</think>\n\nB. admissible",
|
| 1386 |
+
"correct": false
|
| 1387 |
+
},
|
| 1388 |
+
{
|
| 1389 |
+
"row": 50,
|
| 1390 |
+
"question_id": 3847,
|
| 1391 |
+
"category": "chemistry",
|
| 1392 |
+
"target": "F",
|
| 1393 |
+
"prediction": "B",
|
| 1394 |
+
"raw_prediction": "<think>\n\n</think>\n\nB. 2",
|
| 1395 |
+
"correct": false
|
| 1396 |
+
},
|
| 1397 |
+
{
|
| 1398 |
+
"row": 51,
|
| 1399 |
+
"question_id": 6117,
|
| 1400 |
+
"category": "health",
|
| 1401 |
+
"target": "F",
|
| 1402 |
+
"prediction": "C",
|
| 1403 |
+
"raw_prediction": "<think>\n\n</think>\n\nC. Thorac",
|
| 1404 |
+
"correct": false
|
| 1405 |
+
},
|
| 1406 |
+
{
|
| 1407 |
+
"row": 52,
|
| 1408 |
+
"question_id": 4862,
|
| 1409 |
+
"category": "history",
|
| 1410 |
+
"target": "J",
|
| 1411 |
+
"prediction": "A",
|
| 1412 |
+
"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 1413 |
+
"correct": false
|
| 1414 |
+
},
|
| 1415 |
+
{
|
| 1416 |
+
"row": 53,
|
| 1417 |
+
"question_id": 9107,
|
| 1418 |
+
"category": "physics",
|
| 1419 |
+
"target": "A",
|
| 1420 |
+
"prediction": "A",
|
| 1421 |
+
"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 1422 |
+
"correct": true
|
| 1423 |
+
},
|
| 1424 |
+
{
|
| 1425 |
+
"row": 54,
|
| 1426 |
+
"question_id": 9323,
|
| 1427 |
+
"category": "physics",
|
| 1428 |
+
"target": "A",
|
| 1429 |
+
"prediction": "A",
|
| 1430 |
+
"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 1431 |
+
"correct": true
|
| 1432 |
+
},
|
| 1433 |
+
{
|
| 1434 |
+
"row": 55,
|
| 1435 |
+
"question_id": 7353,
|
| 1436 |
+
"category": "economics",
|
| 1437 |
+
"target": "G",
|
| 1438 |
+
"prediction": "B",
|
| 1439 |
+
"raw_prediction": "<think>\n</think>\n\nB. Long-run",
|
| 1440 |
+
"correct": false
|
| 1441 |
+
},
|
| 1442 |
+
{
|
| 1443 |
+
"row": 56,
|
| 1444 |
+
"question_id": 7824,
|
| 1445 |
+
"category": "math",
|
| 1446 |
+
"target": "H",
|
| 1447 |
+
"prediction": "B",
|
| 1448 |
+
"raw_prediction": "<think>\n\n</think>\n\nB. 1",
|
| 1449 |
+
"correct": false
|
| 1450 |
+
},
|
| 1451 |
+
{
|
| 1452 |
+
"row": 57,
|
| 1453 |
+
"question_id": 713,
|
| 1454 |
+
"category": "business",
|
| 1455 |
+
"target": "F",
|
| 1456 |
+
"prediction": "B",
|
| 1457 |
+
"raw_prediction": "<think>\n\n</think>\n\nB",
|
| 1458 |
+
"correct": false
|
| 1459 |
+
},
|
| 1460 |
+
{
|
| 1461 |
+
"row": 58,
|
| 1462 |
+
"question_id": 4716,
|
| 1463 |
+
"category": "history",
|
| 1464 |
+
"target": "B",
|
| 1465 |
+
"prediction": "B",
|
| 1466 |
+
"raw_prediction": "<think>\n\n</think>\n\nB. Containment",
|
| 1467 |
+
"correct": true
|
| 1468 |
+
},
|
| 1469 |
+
{
|
| 1470 |
+
"row": 59,
|
| 1471 |
+
"question_id": 8275,
|
| 1472 |
+
"category": "math",
|
| 1473 |
+
"target": "A",
|
| 1474 |
+
"prediction": "C",
|
| 1475 |
+
"raw_prediction": "<think>\n\n</think>\n\nC",
|
| 1476 |
+
"correct": false
|
| 1477 |
+
},
|
| 1478 |
+
{
|
| 1479 |
+
"row": 60,
|
| 1480 |
+
"question_id": 2988,
|
| 1481 |
+
"category": "biology",
|
| 1482 |
+
"target": "C",
|
| 1483 |
+
"prediction": "C",
|
| 1484 |
+
"raw_prediction": "<think>\n\n</think>\n\nC",
|
| 1485 |
+
"correct": true
|
| 1486 |
+
},
|
| 1487 |
+
{
|
| 1488 |
+
"row": 61,
|
| 1489 |
+
"question_id": 8229,
|
| 1490 |
+
"category": "math",
|
| 1491 |
+
"target": "G",
|
| 1492 |
+
"prediction": "G",
|
| 1493 |
+
"raw_prediction": "<think>\n\n</think>\n\nG",
|
| 1494 |
+
"correct": true
|
| 1495 |
+
},
|
| 1496 |
+
{
|
| 1497 |
+
"row": 62,
|
| 1498 |
+
"question_id": 4677,
|
| 1499 |
+
"category": "history",
|
| 1500 |
+
"target": "H",
|
| 1501 |
+
"prediction": "A",
|
| 1502 |
+
"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 1503 |
+
"correct": false
|
| 1504 |
+
},
|
| 1505 |
+
{
|
| 1506 |
+
"row": 63,
|
| 1507 |
+
"question_id": 261,
|
| 1508 |
+
"category": "business",
|
| 1509 |
+
"target": "J",
|
| 1510 |
+
"prediction": "B",
|
| 1511 |
+
"raw_prediction": "<think>\n\n</think>\n\nB",
|
| 1512 |
+
"correct": false
|
| 1513 |
+
},
|
| 1514 |
+
{
|
| 1515 |
+
"row": 64,
|
| 1516 |
+
"question_id": 5456,
|
| 1517 |
+
"category": "other",
|
| 1518 |
+
"target": "H",
|
| 1519 |
+
"prediction": "I",
|
| 1520 |
+
"raw_prediction": "<think>\n\n</think>\n\nI",
|
| 1521 |
+
"correct": false
|
| 1522 |
+
},
|
| 1523 |
+
{
|
| 1524 |
+
"row": 65,
|
| 1525 |
+
"question_id": 2222,
|
| 1526 |
+
"category": "psychology",
|
| 1527 |
+
"target": "B",
|
| 1528 |
+
"prediction": "B",
|
| 1529 |
+
"raw_prediction": "<think>\n\n</think>\n\nB. continuous",
|
| 1530 |
+
"correct": true
|
| 1531 |
+
},
|
| 1532 |
+
{
|
| 1533 |
+
"row": 66,
|
| 1534 |
+
"question_id": 6524,
|
| 1535 |
+
"category": "health",
|
| 1536 |
+
"target": "F",
|
| 1537 |
+
"prediction": "A",
|
| 1538 |
+
"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 1539 |
+
"correct": false
|
| 1540 |
+
},
|
| 1541 |
+
{
|
| 1542 |
+
"row": 67,
|
| 1543 |
+
"question_id": 1280,
|
| 1544 |
+
"category": "law",
|
| 1545 |
+
"target": "D",
|
| 1546 |
+
"prediction": "D",
|
| 1547 |
+
"raw_prediction": "<think>\n\n</think>\n\nD",
|
| 1548 |
+
"correct": true
|
| 1549 |
+
},
|
| 1550 |
+
{
|
| 1551 |
+
"row": 68,
|
| 1552 |
+
"question_id": 2943,
|
| 1553 |
+
"category": "biology",
|
| 1554 |
+
"target": "C",
|
| 1555 |
+
"prediction": "A",
|
| 1556 |
+
"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 1557 |
+
"correct": false
|
| 1558 |
+
},
|
| 1559 |
+
{
|
| 1560 |
+
"row": 69,
|
| 1561 |
+
"question_id": 782,
|
| 1562 |
+
"category": "business",
|
| 1563 |
+
"target": "G",
|
| 1564 |
+
"prediction": "B",
|
| 1565 |
+
"raw_prediction": "<think>\n\n</think>\n\nB",
|
| 1566 |
+
"correct": false
|
| 1567 |
+
},
|
| 1568 |
+
{
|
| 1569 |
+
"row": 70,
|
| 1570 |
+
"question_id": 9336,
|
| 1571 |
+
"category": "physics",
|
| 1572 |
+
"target": "A",
|
| 1573 |
+
"prediction": "H",
|
| 1574 |
+
"raw_prediction": "<think>\nOkay, let's try to",
|
| 1575 |
+
"correct": false
|
| 1576 |
+
},
|
| 1577 |
+
{
|
| 1578 |
+
"row": 71,
|
| 1579 |
+
"question_id": 3786,
|
| 1580 |
+
"category": "chemistry",
|
| 1581 |
+
"target": "B",
|
| 1582 |
+
"prediction": "C",
|
| 1583 |
+
"raw_prediction": "<think>\n\n</think>\n\nC",
|
| 1584 |
+
"correct": false
|
| 1585 |
+
},
|
| 1586 |
+
{
|
| 1587 |
+
"row": 72,
|
| 1588 |
+
"question_id": 1934,
|
| 1589 |
+
"category": "law",
|
| 1590 |
+
"target": "B",
|
| 1591 |
+
"prediction": "C",
|
| 1592 |
+
"raw_prediction": "<think>\n\n</think>\n\nC",
|
| 1593 |
+
"correct": false
|
| 1594 |
+
},
|
| 1595 |
+
{
|
| 1596 |
+
"row": 73,
|
| 1597 |
+
"question_id": 1355,
|
| 1598 |
+
"category": "law",
|
| 1599 |
+
"target": "G",
|
| 1600 |
+
"prediction": "C",
|
| 1601 |
+
"raw_prediction": "<think>\n\n</think>\n\nC",
|
| 1602 |
+
"correct": false
|
| 1603 |
+
},
|
| 1604 |
+
{
|
| 1605 |
+
"row": 74,
|
| 1606 |
+
"question_id": 10290,
|
| 1607 |
+
"category": "physics",
|
| 1608 |
+
"target": "I",
|
| 1609 |
+
"prediction": "H",
|
| 1610 |
+
"raw_prediction": "<think>\n\n</think>\n\nThe correct answer is",
|
| 1611 |
+
"correct": false
|
| 1612 |
+
},
|
| 1613 |
+
{
|
| 1614 |
+
"row": 75,
|
| 1615 |
+
"question_id": 10710,
|
| 1616 |
+
"category": "computer science",
|
| 1617 |
+
"target": "J",
|
| 1618 |
+
"prediction": "B",
|
| 1619 |
+
"raw_prediction": "<think>\n\n</think>\n\nB",
|
| 1620 |
+
"correct": false
|
| 1621 |
+
},
|
| 1622 |
+
{
|
| 1623 |
+
"row": 76,
|
| 1624 |
+
"question_id": 9376,
|
| 1625 |
+
"category": "physics",
|
| 1626 |
+
"target": "H",
|
| 1627 |
+
"prediction": "H",
|
| 1628 |
+
"raw_prediction": "<think>\nOkay, let's try to",
|
| 1629 |
+
"correct": true
|
| 1630 |
+
},
|
| 1631 |
+
{
|
| 1632 |
+
"row": 77,
|
| 1633 |
+
"question_id": 9590,
|
| 1634 |
+
"category": "physics",
|
| 1635 |
+
"target": "C",
|
| 1636 |
+
"prediction": "A",
|
| 1637 |
+
"raw_prediction": "<think>\n\n</think>\n\nA.",
|
| 1638 |
+
"correct": false
|
| 1639 |
+
},
|
| 1640 |
+
{
|
| 1641 |
+
"row": 78,
|
| 1642 |
+
"question_id": 10731,
|
| 1643 |
+
"category": "computer science",
|
| 1644 |
+
"target": "E",
|
| 1645 |
+
"prediction": "E",
|
| 1646 |
+
"raw_prediction": "<think>\n\n</think>\n\nE",
|
| 1647 |
+
"correct": true
|
| 1648 |
+
},
|
| 1649 |
+
{
|
| 1650 |
+
"row": 79,
|
| 1651 |
+
"question_id": 5985,
|
| 1652 |
+
"category": "other",
|
| 1653 |
+
"target": "B",
|
| 1654 |
+
"prediction": "B",
|
| 1655 |
+
"raw_prediction": "<think>\n\n</think>\n\nB. Deprec",
|
| 1656 |
+
"correct": true
|
| 1657 |
+
},
|
| 1658 |
+
{
|
| 1659 |
+
"row": 80,
|
| 1660 |
+
"question_id": 10832,
|
| 1661 |
+
"category": "philosophy",
|
| 1662 |
+
"target": "I",
|
| 1663 |
+
"prediction": "J",
|
| 1664 |
+
"raw_prediction": "<think>\n\n</think>\n\nJ",
|
| 1665 |
+
"correct": false
|
| 1666 |
+
},
|
| 1667 |
+
{
|
| 1668 |
+
"row": 81,
|
| 1669 |
+
"question_id": 4516,
|
| 1670 |
+
"category": "chemistry",
|
| 1671 |
+
"target": "F",
|
| 1672 |
+
"prediction": "F",
|
| 1673 |
+
"raw_prediction": "<think>\n\n</think>\n\nF",
|
| 1674 |
+
"correct": true
|
| 1675 |
+
},
|
| 1676 |
+
{
|
| 1677 |
+
"row": 82,
|
| 1678 |
+
"question_id": 2819,
|
| 1679 |
+
"category": "biology",
|
| 1680 |
+
"target": "C",
|
| 1681 |
+
"prediction": "C",
|
| 1682 |
+
"raw_prediction": "<think>\n\n</think>\n\nC",
|
| 1683 |
+
"correct": true
|
| 1684 |
+
},
|
| 1685 |
+
{
|
| 1686 |
+
"row": 83,
|
| 1687 |
+
"question_id": 9104,
|
| 1688 |
+
"category": "physics",
|
| 1689 |
+
"target": "J",
|
| 1690 |
+
"prediction": "C",
|
| 1691 |
+
"raw_prediction": "<think>\n\n</think>\n\nC",
|
| 1692 |
+
"correct": false
|
| 1693 |
+
},
|
| 1694 |
+
{
|
| 1695 |
+
"row": 84,
|
| 1696 |
+
"question_id": 6202,
|
| 1697 |
+
"category": "health",
|
| 1698 |
+
"target": "F",
|
| 1699 |
+
"prediction": "C",
|
| 1700 |
+
"raw_prediction": "<think>\n\n</think>\n\nC",
|
| 1701 |
+
"correct": false
|
| 1702 |
+
},
|
| 1703 |
+
{
|
| 1704 |
+
"row": 85,
|
| 1705 |
+
"question_id": 9391,
|
| 1706 |
+
"category": "physics",
|
| 1707 |
+
"target": "E",
|
| 1708 |
+
"prediction": "A",
|
| 1709 |
+
"raw_prediction": "<think>\n\n</think>\n\nA. 2",
|
| 1710 |
+
"correct": false
|
| 1711 |
+
},
|
| 1712 |
+
{
|
| 1713 |
+
"row": 86,
|
| 1714 |
+
"question_id": 2057,
|
| 1715 |
+
"category": "psychology",
|
| 1716 |
+
"target": "G",
|
| 1717 |
+
"prediction": "E",
|
| 1718 |
+
"raw_prediction": "<think>\n\n</think>\n\nE",
|
| 1719 |
+
"correct": false
|
| 1720 |
+
},
|
| 1721 |
+
{
|
| 1722 |
+
"row": 87,
|
| 1723 |
+
"question_id": 10269,
|
| 1724 |
+
"category": "physics",
|
| 1725 |
+
"target": "G",
|
| 1726 |
+
"prediction": "G",
|
| 1727 |
+
"raw_prediction": "<think>\n\n</think>\n\nG",
|
| 1728 |
+
"correct": true
|
| 1729 |
+
},
|
| 1730 |
+
{
|
| 1731 |
+
"row": 88,
|
| 1732 |
+
"question_id": 8251,
|
| 1733 |
+
"category": "math",
|
| 1734 |
+
"target": "J",
|
| 1735 |
+
"prediction": "A",
|
| 1736 |
+
"raw_prediction": "<think>\n\n</think>\n\nA. 5",
|
| 1737 |
+
"correct": false
|
| 1738 |
+
},
|
| 1739 |
+
{
|
| 1740 |
+
"row": 89,
|
| 1741 |
+
"question_id": 9896,
|
| 1742 |
+
"category": "physics",
|
| 1743 |
+
"target": "D",
|
| 1744 |
+
"prediction": "H",
|
| 1745 |
+
"raw_prediction": "<think>\nOkay, let's tackle this",
|
| 1746 |
+
"correct": false
|
| 1747 |
+
},
|
| 1748 |
+
{
|
| 1749 |
+
"row": 90,
|
| 1750 |
+
"question_id": 2187,
|
| 1751 |
+
"category": "psychology",
|
| 1752 |
+
"target": "D",
|
| 1753 |
+
"prediction": "D",
|
| 1754 |
+
"raw_prediction": "<think>\n\n</think>\n\nD",
|
| 1755 |
+
"correct": true
|
| 1756 |
+
},
|
| 1757 |
+
{
|
| 1758 |
+
"row": 91,
|
| 1759 |
+
"question_id": 7411,
|
| 1760 |
+
"category": "economics",
|
| 1761 |
+
"target": "D",
|
| 1762 |
+
"prediction": "D",
|
| 1763 |
+
"raw_prediction": "<think>\n\n</think>\n\nD",
|
| 1764 |
+
"correct": true
|
| 1765 |
+
},
|
| 1766 |
+
{
|
| 1767 |
+
"row": 92,
|
| 1768 |
+
"question_id": 5446,
|
| 1769 |
+
"category": "other",
|
| 1770 |
+
"target": "B",
|
| 1771 |
+
"prediction": "H",
|
| 1772 |
+
"raw_prediction": "<think>\n</think>\n\nTo find the cumulative",
|
| 1773 |
+
"correct": false
|
| 1774 |
+
},
|
| 1775 |
+
{
|
| 1776 |
+
"row": 93,
|
| 1777 |
+
"question_id": 9167,
|
| 1778 |
+
"category": "physics",
|
| 1779 |
+
"target": "C",
|
| 1780 |
+
"prediction": "C",
|
| 1781 |
+
"raw_prediction": "<think>\n\n</think>\n\nC",
|
| 1782 |
+
"correct": true
|
| 1783 |
+
},
|
| 1784 |
+
{
|
| 1785 |
+
"row": 94,
|
| 1786 |
+
"question_id": 9034,
|
| 1787 |
+
"category": "math",
|
| 1788 |
+
"target": "F",
|
| 1789 |
+
"prediction": "H",
|
| 1790 |
+
"raw_prediction": "<think>\nOkay, let's see.",
|
| 1791 |
+
"correct": false
|
| 1792 |
+
},
|
| 1793 |
+
{
|
| 1794 |
+
"row": 95,
|
| 1795 |
+
"question_id": 4604,
|
| 1796 |
+
"category": "chemistry",
|
| 1797 |
+
"target": "J",
|
| 1798 |
+
"prediction": "A",
|
| 1799 |
+
"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 1800 |
+
"correct": false
|
| 1801 |
+
},
|
| 1802 |
+
{
|
| 1803 |
+
"row": 96,
|
| 1804 |
+
"question_id": 647,
|
| 1805 |
+
"category": "business",
|
| 1806 |
+
"target": "B",
|
| 1807 |
+
"prediction": "B",
|
| 1808 |
+
"raw_prediction": "<think>\n\n</think>\n\nB. $4",
|
| 1809 |
+
"correct": true
|
| 1810 |
+
},
|
| 1811 |
+
{
|
| 1812 |
+
"row": 97,
|
| 1813 |
+
"question_id": 6577,
|
| 1814 |
+
"category": "health",
|
| 1815 |
+
"target": "A",
|
| 1816 |
+
"prediction": "A",
|
| 1817 |
+
"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 1818 |
+
"correct": true
|
| 1819 |
+
},
|
| 1820 |
+
{
|
| 1821 |
+
"row": 98,
|
| 1822 |
+
"question_id": 4563,
|
| 1823 |
+
"category": "chemistry",
|
| 1824 |
+
"target": "E",
|
| 1825 |
+
"prediction": "H",
|
| 1826 |
+
"raw_prediction": "<think>\n\n</think>\n\nThe energy of the",
|
| 1827 |
+
"correct": false
|
| 1828 |
+
},
|
| 1829 |
+
{
|
| 1830 |
+
"row": 99,
|
| 1831 |
+
"question_id": 357,
|
| 1832 |
+
"category": "business",
|
| 1833 |
+
"target": "H",
|
| 1834 |
+
"prediction": "A",
|
| 1835 |
+
"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 1836 |
+
"correct": false
|
| 1837 |
+
},
|
| 1838 |
+
{
|
| 1839 |
+
"row": 100,
|
| 1840 |
+
"question_id": 1354,
|
| 1841 |
+
"category": "law",
|
| 1842 |
+
"target": "D",
|
| 1843 |
+
"prediction": "H",
|
| 1844 |
+
"raw_prediction": "<think>\nOkay, let's try to",
|
| 1845 |
+
"correct": false
|
| 1846 |
+
},
|
| 1847 |
+
{
|
| 1848 |
+
"row": 101,
|
| 1849 |
+
"question_id": 8710,
|
| 1850 |
+
"category": "math",
|
| 1851 |
+
"target": "C",
|
| 1852 |
+
"prediction": "H",
|
| 1853 |
+
"raw_prediction": "<think>\nOkay, let's try to",
|
| 1854 |
+
"correct": false
|
| 1855 |
+
},
|
| 1856 |
+
{
|
| 1857 |
+
"row": 102,
|
| 1858 |
+
"question_id": 6866,
|
| 1859 |
+
"category": "economics",
|
| 1860 |
+
"target": "G",
|
| 1861 |
+
"prediction": "B",
|
| 1862 |
+
"raw_prediction": "<think>\n\n</think>\n\nB. Increase of",
|
| 1863 |
+
"correct": false
|
| 1864 |
+
},
|
| 1865 |
+
{
|
| 1866 |
+
"row": 103,
|
| 1867 |
+
"question_id": 7269,
|
| 1868 |
+
"category": "economics",
|
| 1869 |
+
"target": "C",
|
| 1870 |
+
"prediction": "C",
|
| 1871 |
+
"raw_prediction": "<think>\n\n</think>\n\nC",
|
| 1872 |
+
"correct": true
|
| 1873 |
+
},
|
| 1874 |
+
{
|
| 1875 |
+
"row": 104,
|
| 1876 |
+
"question_id": 7474,
|
| 1877 |
+
"category": "economics",
|
| 1878 |
+
"target": "A",
|
| 1879 |
+
"prediction": "D",
|
| 1880 |
+
"raw_prediction": "<think>\n\n</think>\n\nD",
|
| 1881 |
+
"correct": false
|
| 1882 |
+
},
|
| 1883 |
+
{
|
| 1884 |
+
"row": 105,
|
| 1885 |
+
"question_id": 9241,
|
| 1886 |
+
"category": "physics",
|
| 1887 |
+
"target": "C",
|
| 1888 |
+
"prediction": "A",
|
| 1889 |
+
"raw_prediction": "<think>\n\n</think>\n\nA. Concave",
|
| 1890 |
+
"correct": false
|
| 1891 |
+
},
|
| 1892 |
+
{
|
| 1893 |
+
"row": 106,
|
| 1894 |
+
"question_id": 1687,
|
| 1895 |
+
"category": "law",
|
| 1896 |
+
"target": "B",
|
| 1897 |
+
"prediction": "I",
|
| 1898 |
+
"raw_prediction": "<think>\n\n</think>\n\nI",
|
| 1899 |
+
"correct": false
|
| 1900 |
+
},
|
| 1901 |
+
{
|
| 1902 |
+
"row": 107,
|
| 1903 |
+
"question_id": 4245,
|
| 1904 |
+
"category": "chemistry",
|
| 1905 |
+
"target": "B",
|
| 1906 |
+
"prediction": "B",
|
| 1907 |
+
"raw_prediction": "<think>\n\n</think>\n\nB",
|
| 1908 |
+
"correct": true
|
| 1909 |
+
},
|
| 1910 |
+
{
|
| 1911 |
+
"row": 108,
|
| 1912 |
+
"question_id": 6485,
|
| 1913 |
+
"category": "health",
|
| 1914 |
+
"target": "E",
|
| 1915 |
+
"prediction": "H",
|
| 1916 |
+
"raw_prediction": "<think>\n\n</think>\n\nH",
|
| 1917 |
+
"correct": false
|
| 1918 |
+
},
|
| 1919 |
+
{
|
| 1920 |
+
"row": 109,
|
| 1921 |
+
"question_id": 1988,
|
| 1922 |
+
"category": "psychology",
|
| 1923 |
+
"target": "E",
|
| 1924 |
+
"prediction": "C",
|
| 1925 |
+
"raw_prediction": "<think>\n\n</think>\n\nC",
|
| 1926 |
+
"correct": false
|
| 1927 |
+
},
|
| 1928 |
+
{
|
| 1929 |
+
"row": 110,
|
| 1930 |
+
"question_id": 6687,
|
| 1931 |
+
"category": "health",
|
| 1932 |
+
"target": "B",
|
| 1933 |
+
"prediction": "B",
|
| 1934 |
+
"raw_prediction": "<think>\n\n</think>\n\nB. It is",
|
| 1935 |
+
"correct": true
|
| 1936 |
+
},
|
| 1937 |
+
{
|
| 1938 |
+
"row": 111,
|
| 1939 |
+
"question_id": 2087,
|
| 1940 |
+
"category": "psychology",
|
| 1941 |
+
"target": "G",
|
| 1942 |
+
"prediction": "G",
|
| 1943 |
+
"raw_prediction": "<think>\n\n</think>\n\nG",
|
| 1944 |
+
"correct": true
|
| 1945 |
+
},
|
| 1946 |
+
{
|
| 1947 |
+
"row": 112,
|
| 1948 |
+
"question_id": 5821,
|
| 1949 |
+
"category": "other",
|
| 1950 |
+
"target": "I",
|
| 1951 |
+
"prediction": "A",
|
| 1952 |
+
"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 1953 |
+
"correct": false
|
| 1954 |
+
},
|
| 1955 |
+
{
|
| 1956 |
+
"row": 113,
|
| 1957 |
+
"question_id": 10895,
|
| 1958 |
+
"category": "philosophy",
|
| 1959 |
+
"target": "H",
|
| 1960 |
+
"prediction": "E",
|
| 1961 |
+
"raw_prediction": "<think>\n\n</think>\n\nE",
|
| 1962 |
+
"correct": false
|
| 1963 |
+
},
|
| 1964 |
+
{
|
| 1965 |
+
"row": 114,
|
| 1966 |
+
"question_id": 10303,
|
| 1967 |
+
"category": "physics",
|
| 1968 |
+
"target": "H",
|
| 1969 |
+
"prediction": "H",
|
| 1970 |
+
"raw_prediction": "<think>\n\n</think>\n\nThe vibrational contribution",
|
| 1971 |
+
"correct": true
|
| 1972 |
+
},
|
| 1973 |
+
{
|
| 1974 |
+
"row": 115,
|
| 1975 |
+
"question_id": 880,
|
| 1976 |
+
"category": "law",
|
| 1977 |
+
"target": "D",
|
| 1978 |
+
"prediction": "A",
|
| 1979 |
+
"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 1980 |
+
"correct": false
|
| 1981 |
+
},
|
| 1982 |
+
{
|
| 1983 |
+
"row": 116,
|
| 1984 |
+
"question_id": 6385,
|
| 1985 |
+
"category": "health",
|
| 1986 |
+
"target": "D",
|
| 1987 |
+
"prediction": "H",
|
| 1988 |
+
"raw_prediction": "<think>\n\n</think>\n\nH",
|
| 1989 |
+
"correct": false
|
| 1990 |
+
},
|
| 1991 |
+
{
|
| 1992 |
+
"row": 117,
|
| 1993 |
+
"question_id": 9746,
|
| 1994 |
+
"category": "physics",
|
| 1995 |
+
"target": "B",
|
| 1996 |
+
"prediction": "H",
|
| 1997 |
+
"raw_prediction": "<think>\nOkay, let's try to",
|
| 1998 |
+
"correct": false
|
| 1999 |
+
},
|
| 2000 |
+
{
|
| 2001 |
+
"row": 118,
|
| 2002 |
+
"question_id": 2810,
|
| 2003 |
+
"category": "biology",
|
| 2004 |
+
"target": "F",
|
| 2005 |
+
"prediction": "G",
|
| 2006 |
+
"raw_prediction": "<think>\n\n</think>\n\nG",
|
| 2007 |
+
"correct": false
|
| 2008 |
+
},
|
| 2009 |
+
{
|
| 2010 |
+
"row": 119,
|
| 2011 |
+
"question_id": 8633,
|
| 2012 |
+
"category": "math",
|
| 2013 |
+
"target": "F",
|
| 2014 |
+
"prediction": "A",
|
| 2015 |
+
"raw_prediction": "<think>\n\n</think>\n\nA.",
|
| 2016 |
+
"correct": false
|
| 2017 |
+
},
|
| 2018 |
+
{
|
| 2019 |
+
"row": 120,
|
| 2020 |
+
"question_id": 494,
|
| 2021 |
+
"category": "business",
|
| 2022 |
+
"target": "H",
|
| 2023 |
+
"prediction": "B",
|
| 2024 |
+
"raw_prediction": "<think>\n\n</think>\n\nB",
|
| 2025 |
+
"correct": false
|
| 2026 |
+
},
|
| 2027 |
+
{
|
| 2028 |
+
"row": 121,
|
| 2029 |
+
"question_id": 9143,
|
| 2030 |
+
"category": "physics",
|
| 2031 |
+
"target": "H",
|
| 2032 |
+
"prediction": "B",
|
| 2033 |
+
"raw_prediction": "<think>\n\n</think>\n\nB. 1",
|
| 2034 |
+
"correct": false
|
| 2035 |
+
},
|
| 2036 |
+
{
|
| 2037 |
+
"row": 122,
|
| 2038 |
+
"question_id": 7666,
|
| 2039 |
+
"category": "economics",
|
| 2040 |
+
"target": "A",
|
| 2041 |
+
"prediction": "A",
|
| 2042 |
+
"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 2043 |
+
"correct": true
|
| 2044 |
+
},
|
| 2045 |
+
{
|
| 2046 |
+
"row": 123,
|
| 2047 |
+
"question_id": 229,
|
| 2048 |
+
"category": "business",
|
| 2049 |
+
"target": "F",
|
| 2050 |
+
"prediction": "A",
|
| 2051 |
+
"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 2052 |
+
"correct": false
|
| 2053 |
+
},
|
| 2054 |
+
{
|
| 2055 |
+
"row": 124,
|
| 2056 |
+
"question_id": 10673,
|
| 2057 |
+
"category": "computer science",
|
| 2058 |
+
"target": "G",
|
| 2059 |
+
"prediction": "H",
|
| 2060 |
+
"raw_prediction": "<think>\n\n</think>\n\nThe minimum vertex cover",
|
| 2061 |
+
"correct": false
|
| 2062 |
+
},
|
| 2063 |
+
{
|
| 2064 |
+
"row": 125,
|
| 2065 |
+
"question_id": 3692,
|
| 2066 |
+
"category": "chemistry",
|
| 2067 |
+
"target": "A",
|
| 2068 |
+
"prediction": "C",
|
| 2069 |
+
"raw_prediction": "<think>\n\n</think>\n\nC. 3",
|
| 2070 |
+
"correct": false
|
| 2071 |
+
},
|
| 2072 |
+
{
|
| 2073 |
+
"row": 126,
|
| 2074 |
+
"question_id": 5329,
|
| 2075 |
+
"category": "other",
|
| 2076 |
+
"target": "F",
|
| 2077 |
+
"prediction": "D",
|
| 2078 |
+
"raw_prediction": "<think>\n\n</think>\n\nD",
|
| 2079 |
+
"correct": false
|
| 2080 |
+
},
|
| 2081 |
+
{
|
| 2082 |
+
"row": 127,
|
| 2083 |
+
"question_id": 4066,
|
| 2084 |
+
"category": "chemistry",
|
| 2085 |
+
"target": "A",
|
| 2086 |
+
"prediction": "A",
|
| 2087 |
+
"raw_prediction": "<think>\n\n</think>\n\nA. -",
|
| 2088 |
+
"correct": true
|
| 2089 |
+
},
|
| 2090 |
+
{
|
| 2091 |
+
"row": 128,
|
| 2092 |
+
"question_id": 5520,
|
| 2093 |
+
"category": "other",
|
| 2094 |
+
"target": "J",
|
| 2095 |
+
"prediction": "J",
|
| 2096 |
+
"raw_prediction": "<think>\n\n</think>\n\nJ",
|
| 2097 |
+
"correct": true
|
| 2098 |
+
},
|
| 2099 |
+
{
|
| 2100 |
+
"row": 129,
|
| 2101 |
+
"question_id": 10255,
|
| 2102 |
+
"category": "physics",
|
| 2103 |
+
"target": "J",
|
| 2104 |
+
"prediction": "B",
|
| 2105 |
+
"raw_prediction": "<think>\n\n</think>\n\nB",
|
| 2106 |
+
"correct": false
|
| 2107 |
+
},
|
| 2108 |
+
{
|
| 2109 |
+
"row": 130,
|
| 2110 |
+
"question_id": 9005,
|
| 2111 |
+
"category": "math",
|
| 2112 |
+
"target": "I",
|
| 2113 |
+
"prediction": "G",
|
| 2114 |
+
"raw_prediction": "<think>\n\n</think>\n\nG",
|
| 2115 |
+
"correct": false
|
| 2116 |
+
},
|
| 2117 |
+
{
|
| 2118 |
+
"row": 131,
|
| 2119 |
+
"question_id": 5727,
|
| 2120 |
+
"category": "other",
|
| 2121 |
+
"target": "A",
|
| 2122 |
+
"prediction": "A",
|
| 2123 |
+
"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 2124 |
+
"correct": true
|
| 2125 |
+
},
|
| 2126 |
+
{
|
| 2127 |
+
"row": 132,
|
| 2128 |
+
"question_id": 219,
|
| 2129 |
+
"category": "business",
|
| 2130 |
+
"target": "I",
|
| 2131 |
+
"prediction": "A",
|
| 2132 |
+
"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 2133 |
+
"correct": false
|
| 2134 |
+
},
|
| 2135 |
+
{
|
| 2136 |
+
"row": 133,
|
| 2137 |
+
"question_id": 5471,
|
| 2138 |
+
"category": "other",
|
| 2139 |
+
"target": "H",
|
| 2140 |
+
"prediction": "G",
|
| 2141 |
+
"raw_prediction": "<think>\n\n</think>\n\nG. Predatory",
|
| 2142 |
+
"correct": false
|
| 2143 |
+
},
|
| 2144 |
+
{
|
| 2145 |
+
"row": 134,
|
| 2146 |
+
"question_id": 11236,
|
| 2147 |
+
"category": "philosophy",
|
| 2148 |
+
"target": "E",
|
| 2149 |
+
"prediction": "C",
|
| 2150 |
+
"raw_prediction": "<think>\n\n</think>\n\nC",
|
| 2151 |
+
"correct": false
|
| 2152 |
+
},
|
| 2153 |
+
{
|
| 2154 |
+
"row": 135,
|
| 2155 |
+
"question_id": 8467,
|
| 2156 |
+
"category": "math",
|
| 2157 |
+
"target": "C",
|
| 2158 |
+
"prediction": "A",
|
| 2159 |
+
"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 2160 |
+
"correct": false
|
| 2161 |
+
},
|
| 2162 |
+
{
|
| 2163 |
+
"row": 136,
|
| 2164 |
+
"question_id": 3969,
|
| 2165 |
+
"category": "chemistry",
|
| 2166 |
+
"target": "B",
|
| 2167 |
+
"prediction": "A",
|
| 2168 |
+
"raw_prediction": "<think>\nOkay, let's try to",
|
| 2169 |
+
"correct": false
|
| 2170 |
+
},
|
| 2171 |
+
{
|
| 2172 |
+
"row": 137,
|
| 2173 |
+
"question_id": 7585,
|
| 2174 |
+
"category": "economics",
|
| 2175 |
+
"target": "A",
|
| 2176 |
+
"prediction": "I",
|
| 2177 |
+
"raw_prediction": "<think>\n\n</think>\n\nI. The production",
|
| 2178 |
+
"correct": false
|
| 2179 |
+
},
|
| 2180 |
+
{
|
| 2181 |
+
"row": 138,
|
| 2182 |
+
"question_id": 7897,
|
| 2183 |
+
"category": "math",
|
| 2184 |
+
"target": "H",
|
| 2185 |
+
"prediction": "H",
|
| 2186 |
+
"raw_prediction": "<think>\n\n</think>\n\nThe correct answer is",
|
| 2187 |
+
"correct": true
|
| 2188 |
+
},
|
| 2189 |
+
{
|
| 2190 |
+
"row": 139,
|
| 2191 |
+
"question_id": 3898,
|
| 2192 |
+
"category": "chemistry",
|
| 2193 |
+
"target": "H",
|
| 2194 |
+
"prediction": "H",
|
| 2195 |
+
"raw_prediction": "<think>\nOkay, let's try to",
|
| 2196 |
+
"correct": true
|
| 2197 |
+
},
|
| 2198 |
+
{
|
| 2199 |
+
"row": 140,
|
| 2200 |
+
"question_id": 4233,
|
| 2201 |
+
"category": "chemistry",
|
| 2202 |
+
"target": "H",
|
| 2203 |
+
"prediction": "B",
|
| 2204 |
+
"raw_prediction": "<think>\n\n</think>\n\nB",
|
| 2205 |
+
"correct": false
|
| 2206 |
+
},
|
| 2207 |
+
{
|
| 2208 |
+
"row": 141,
|
| 2209 |
+
"question_id": 438,
|
| 2210 |
+
"category": "business",
|
| 2211 |
+
"target": "D",
|
| 2212 |
+
"prediction": "D",
|
| 2213 |
+
"raw_prediction": "<think>\n\n</think>\n\nD. Market equivalence",
|
| 2214 |
+
"correct": true
|
| 2215 |
+
},
|
| 2216 |
+
{
|
| 2217 |
+
"row": 142,
|
| 2218 |
+
"question_id": 9497,
|
| 2219 |
+
"category": "physics",
|
| 2220 |
+
"target": "I",
|
| 2221 |
+
"prediction": "I",
|
| 2222 |
+
"raw_prediction": "<think>\n\n</think>\n\nI.",
|
| 2223 |
+
"correct": true
|
| 2224 |
+
},
|
| 2225 |
+
{
|
| 2226 |
+
"row": 143,
|
| 2227 |
+
"question_id": 4434,
|
| 2228 |
+
"category": "chemistry",
|
| 2229 |
+
"target": "J",
|
| 2230 |
+
"prediction": "H",
|
| 2231 |
+
"raw_prediction": "<think>\n\n</think>\n\nH",
|
| 2232 |
+
"correct": false
|
| 2233 |
+
},
|
| 2234 |
+
{
|
| 2235 |
+
"row": 144,
|
| 2236 |
+
"question_id": 8239,
|
| 2237 |
+
"category": "math",
|
| 2238 |
+
"target": "D",
|
| 2239 |
+
"prediction": "A",
|
| 2240 |
+
"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 2241 |
+
"correct": false
|
| 2242 |
+
},
|
| 2243 |
+
{
|
| 2244 |
+
"row": 145,
|
| 2245 |
+
"question_id": 3479,
|
| 2246 |
+
"category": "biology",
|
| 2247 |
+
"target": "E",
|
| 2248 |
+
"prediction": "B",
|
| 2249 |
+
"raw_prediction": "<think>\n\n</think>\n\nB",
|
| 2250 |
+
"correct": false
|
| 2251 |
+
},
|
| 2252 |
+
{
|
| 2253 |
+
"row": 146,
|
| 2254 |
+
"question_id": 9331,
|
| 2255 |
+
"category": "physics",
|
| 2256 |
+
"target": "E",
|
| 2257 |
+
"prediction": "J",
|
| 2258 |
+
"raw_prediction": "<think>\n\n</think>\n\nJ",
|
| 2259 |
+
"correct": false
|
| 2260 |
+
},
|
| 2261 |
+
{
|
| 2262 |
+
"row": 147,
|
| 2263 |
+
"question_id": 8485,
|
| 2264 |
+
"category": "math",
|
| 2265 |
+
"target": "D",
|
| 2266 |
+
"prediction": "B",
|
| 2267 |
+
"raw_prediction": "<think>\n\n</think>\n\nB",
|
| 2268 |
+
"correct": false
|
| 2269 |
+
},
|
| 2270 |
+
{
|
| 2271 |
+
"row": 148,
|
| 2272 |
+
"question_id": 9440,
|
| 2273 |
+
"category": "physics",
|
| 2274 |
+
"target": "I",
|
| 2275 |
+
"prediction": "C",
|
| 2276 |
+
"raw_prediction": "<think>\n\n</think>\n\nC",
|
| 2277 |
+
"correct": false
|
| 2278 |
+
},
|
| 2279 |
+
{
|
| 2280 |
+
"row": 149,
|
| 2281 |
+
"question_id": 10811,
|
| 2282 |
+
"category": "philosophy",
|
| 2283 |
+
"target": "B",
|
| 2284 |
+
"prediction": "B",
|
| 2285 |
+
"raw_prediction": "<think>\n\n</think>\n\nB",
|
| 2286 |
+
"correct": true
|
| 2287 |
+
},
|
| 2288 |
+
{
|
| 2289 |
+
"row": 150,
|
| 2290 |
+
"question_id": 7890,
|
| 2291 |
+
"category": "math",
|
| 2292 |
+
"target": "J",
|
| 2293 |
+
"prediction": "G",
|
| 2294 |
+
"raw_prediction": "<think>\n\n</think>\n\nG",
|
| 2295 |
+
"correct": false
|
| 2296 |
+
},
|
| 2297 |
+
{
|
| 2298 |
+
"row": 151,
|
| 2299 |
+
"question_id": 4144,
|
| 2300 |
+
"category": "chemistry",
|
| 2301 |
+
"target": "A",
|
| 2302 |
+
"prediction": "B",
|
| 2303 |
+
"raw_prediction": "<think>\n\n</think>\n\nB. 7",
|
| 2304 |
+
"correct": false
|
| 2305 |
+
},
|
| 2306 |
+
{
|
| 2307 |
+
"row": 152,
|
| 2308 |
+
"question_id": 12016,
|
| 2309 |
+
"category": "engineering",
|
| 2310 |
+
"target": "F",
|
| 2311 |
+
"prediction": "H",
|
| 2312 |
+
"raw_prediction": "<think>\n\n</think>\n\nThe correct answer is",
|
| 2313 |
+
"correct": false
|
| 2314 |
+
},
|
| 2315 |
+
{
|
| 2316 |
+
"row": 153,
|
| 2317 |
+
"question_id": 4583,
|
| 2318 |
+
"category": "chemistry",
|
| 2319 |
+
"target": "D",
|
| 2320 |
+
"prediction": "D",
|
| 2321 |
+
"raw_prediction": "<think>\n\n</think>\n\nD",
|
| 2322 |
+
"correct": true
|
| 2323 |
+
},
|
| 2324 |
+
{
|
| 2325 |
+
"row": 154,
|
| 2326 |
+
"question_id": 11640,
|
| 2327 |
+
"category": "engineering",
|
| 2328 |
+
"target": "F",
|
| 2329 |
+
"prediction": "B",
|
| 2330 |
+
"raw_prediction": "<think>\n\n</think>\n\nB. (1",
|
| 2331 |
+
"correct": false
|
| 2332 |
+
},
|
| 2333 |
+
{
|
| 2334 |
+
"row": 155,
|
| 2335 |
+
"question_id": 4228,
|
| 2336 |
+
"category": "chemistry",
|
| 2337 |
+
"target": "I",
|
| 2338 |
+
"prediction": "A",
|
| 2339 |
+
"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 2340 |
+
"correct": false
|
| 2341 |
+
},
|
| 2342 |
+
{
|
| 2343 |
+
"row": 156,
|
| 2344 |
+
"question_id": 115,
|
| 2345 |
+
"category": "business",
|
| 2346 |
+
"target": "J",
|
| 2347 |
+
"prediction": "C",
|
| 2348 |
+
"raw_prediction": "<think>\n\n</think>\n\nC",
|
| 2349 |
+
"correct": false
|
| 2350 |
+
},
|
| 2351 |
+
{
|
| 2352 |
+
"row": 157,
|
| 2353 |
+
"question_id": 6438,
|
| 2354 |
+
"category": "health",
|
| 2355 |
+
"target": "D",
|
| 2356 |
+
"prediction": "D",
|
| 2357 |
+
"raw_prediction": "<think>\n\n</think>\n\nD",
|
| 2358 |
+
"correct": true
|
| 2359 |
+
},
|
| 2360 |
+
{
|
| 2361 |
+
"row": 158,
|
| 2362 |
+
"question_id": 1556,
|
| 2363 |
+
"category": "law",
|
| 2364 |
+
"target": "B",
|
| 2365 |
+
"prediction": "B",
|
| 2366 |
+
"raw_prediction": "<think>\n\n</think>\n\nB. Yes,",
|
| 2367 |
+
"correct": true
|
| 2368 |
+
},
|
| 2369 |
+
{
|
| 2370 |
+
"row": 159,
|
| 2371 |
+
"question_id": 3122,
|
| 2372 |
+
"category": "biology",
|
| 2373 |
+
"target": "H",
|
| 2374 |
+
"prediction": "E",
|
| 2375 |
+
"raw_prediction": "<think>\n\n</think>\n\nE",
|
| 2376 |
+
"correct": false
|
| 2377 |
+
},
|
| 2378 |
+
{
|
| 2379 |
+
"row": 160,
|
| 2380 |
+
"question_id": 4108,
|
| 2381 |
+
"category": "chemistry",
|
| 2382 |
+
"target": "C",
|
| 2383 |
+
"prediction": "H",
|
| 2384 |
+
"raw_prediction": "<think>\n\n</think>\n\nThe van der Wa",
|
| 2385 |
+
"correct": false
|
| 2386 |
+
},
|
| 2387 |
+
{
|
| 2388 |
+
"row": 161,
|
| 2389 |
+
"question_id": 6229,
|
| 2390 |
+
"category": "health",
|
| 2391 |
+
"target": "E",
|
| 2392 |
+
"prediction": "A",
|
| 2393 |
+
"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 2394 |
+
"correct": false
|
| 2395 |
+
},
|
| 2396 |
+
{
|
| 2397 |
+
"row": 162,
|
| 2398 |
+
"question_id": 10591,
|
| 2399 |
+
"category": "computer science",
|
| 2400 |
+
"target": "A",
|
| 2401 |
+
"prediction": "H",
|
| 2402 |
+
"raw_prediction": "<think>\nOkay, let's try to",
|
| 2403 |
+
"correct": false
|
| 2404 |
+
},
|
| 2405 |
+
{
|
| 2406 |
+
"row": 163,
|
| 2407 |
+
"question_id": 11457,
|
| 2408 |
+
"category": "engineering",
|
| 2409 |
+
"target": "F",
|
| 2410 |
+
"prediction": "B",
|
| 2411 |
+
"raw_prediction": "<think>\n\n</think>\n\nB. 4",
|
| 2412 |
+
"correct": false
|
| 2413 |
+
},
|
| 2414 |
+
{
|
| 2415 |
+
"row": 164,
|
| 2416 |
+
"question_id": 4050,
|
| 2417 |
+
"category": "chemistry",
|
| 2418 |
+
"target": "C",
|
| 2419 |
+
"prediction": "A",
|
| 2420 |
+
"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 2421 |
+
"correct": false
|
| 2422 |
+
},
|
| 2423 |
+
{
|
| 2424 |
+
"row": 165,
|
| 2425 |
+
"question_id": 5886,
|
| 2426 |
+
"category": "other",
|
| 2427 |
+
"target": "I",
|
| 2428 |
+
"prediction": "A",
|
| 2429 |
+
"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 2430 |
+
"correct": false
|
| 2431 |
+
},
|
| 2432 |
+
{
|
| 2433 |
+
"row": 166,
|
| 2434 |
+
"question_id": 5119,
|
| 2435 |
+
"category": "other",
|
| 2436 |
+
"target": "F",
|
| 2437 |
+
"prediction": "B",
|
| 2438 |
+
"raw_prediction": "<think>\n\n</think>\n\nB. $1",
|
| 2439 |
+
"correct": false
|
| 2440 |
+
},
|
| 2441 |
+
{
|
| 2442 |
+
"row": 167,
|
| 2443 |
+
"question_id": 11685,
|
| 2444 |
+
"category": "engineering",
|
| 2445 |
+
"target": "A",
|
| 2446 |
+
"prediction": "B",
|
| 2447 |
+
"raw_prediction": "<think>\n\n</think>\n\nB. 3",
|
| 2448 |
+
"correct": false
|
| 2449 |
+
},
|
| 2450 |
+
{
|
| 2451 |
+
"row": 168,
|
| 2452 |
+
"question_id": 2132,
|
| 2453 |
+
"category": "psychology",
|
| 2454 |
+
"target": "C",
|
| 2455 |
+
"prediction": "C",
|
| 2456 |
+
"raw_prediction": "<think>\n\n</think>\n\nC",
|
| 2457 |
+
"correct": true
|
| 2458 |
+
},
|
| 2459 |
+
{
|
| 2460 |
+
"row": 169,
|
| 2461 |
+
"question_id": 3977,
|
| 2462 |
+
"category": "chemistry",
|
| 2463 |
+
"target": "D",
|
| 2464 |
+
"prediction": "D",
|
| 2465 |
+
"raw_prediction": "<think>\n\n</think>\n\nD",
|
| 2466 |
+
"correct": true
|
| 2467 |
+
},
|
| 2468 |
+
{
|
| 2469 |
+
"row": 170,
|
| 2470 |
+
"question_id": 6761,
|
| 2471 |
+
"category": "health",
|
| 2472 |
+
"target": "G",
|
| 2473 |
+
"prediction": "G",
|
| 2474 |
+
"raw_prediction": "<think>\n\n</think>\n\nG. Nyst",
|
| 2475 |
+
"correct": true
|
| 2476 |
+
},
|
| 2477 |
+
{
|
| 2478 |
+
"row": 171,
|
| 2479 |
+
"question_id": 11787,
|
| 2480 |
+
"category": "engineering",
|
| 2481 |
+
"target": "C",
|
| 2482 |
+
"prediction": "H",
|
| 2483 |
+
"raw_prediction": "<think>\nOkay, let's try to",
|
| 2484 |
+
"correct": false
|
| 2485 |
+
},
|
| 2486 |
+
{
|
| 2487 |
+
"row": 172,
|
| 2488 |
+
"question_id": 5745,
|
| 2489 |
+
"category": "other",
|
| 2490 |
+
"target": "A",
|
| 2491 |
+
"prediction": "A",
|
| 2492 |
+
"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 2493 |
+
"correct": true
|
| 2494 |
+
},
|
| 2495 |
+
{
|
| 2496 |
+
"row": 173,
|
| 2497 |
+
"question_id": 3278,
|
| 2498 |
+
"category": "biology",
|
| 2499 |
+
"target": "F",
|
| 2500 |
+
"prediction": "H",
|
| 2501 |
+
"raw_prediction": "<think>\n\n</think>\n\nThe correct answer is",
|
| 2502 |
+
"correct": false
|
| 2503 |
+
},
|
| 2504 |
+
{
|
| 2505 |
+
"row": 174,
|
| 2506 |
+
"question_id": 677,
|
| 2507 |
+
"category": "business",
|
| 2508 |
+
"target": "H",
|
| 2509 |
+
"prediction": "C",
|
| 2510 |
+
"raw_prediction": "<think>\n\n</think>\n\nC. $3",
|
| 2511 |
+
"correct": false
|
| 2512 |
+
},
|
| 2513 |
+
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|
| 2514 |
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|
| 2515 |
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|
| 2516 |
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|
| 2517 |
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|
| 2518 |
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|
| 2519 |
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|
| 2520 |
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|
| 2521 |
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},
|
| 2522 |
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|
| 2523 |
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|
| 2524 |
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|
| 2525 |
+
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|
| 2526 |
+
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|
| 2527 |
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|
| 2528 |
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|
| 2529 |
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|
| 2530 |
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},
|
| 2531 |
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{
|
| 2532 |
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|
| 2533 |
+
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|
| 2534 |
+
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|
| 2535 |
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|
| 2536 |
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|
| 2537 |
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|
| 2538 |
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|
| 2539 |
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|
| 2540 |
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{
|
| 2541 |
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|
| 2542 |
+
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|
| 2543 |
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|
| 2544 |
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|
| 2545 |
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|
| 2546 |
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|
| 2547 |
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|
| 2548 |
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},
|
| 2549 |
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{
|
| 2550 |
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"row": 179,
|
| 2551 |
+
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|
| 2552 |
+
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|
| 2553 |
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|
| 2554 |
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|
| 2555 |
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|
| 2556 |
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|
| 2557 |
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},
|
| 2558 |
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{
|
| 2559 |
+
"row": 180,
|
| 2560 |
+
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|
| 2561 |
+
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|
| 2562 |
+
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|
| 2563 |
+
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|
| 2564 |
+
"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 2565 |
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|
| 2566 |
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|
| 2567 |
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{
|
| 2568 |
+
"row": 181,
|
| 2569 |
+
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|
| 2570 |
+
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|
| 2571 |
+
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|
| 2572 |
+
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|
| 2573 |
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|
| 2574 |
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|
| 2575 |
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|
| 2576 |
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{
|
| 2577 |
+
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|
| 2578 |
+
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|
| 2579 |
+
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|
| 2580 |
+
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|
| 2581 |
+
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|
| 2582 |
+
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|
| 2583 |
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|
| 2584 |
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|
| 2585 |
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{
|
| 2586 |
+
"row": 183,
|
| 2587 |
+
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|
| 2588 |
+
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|
| 2589 |
+
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|
| 2590 |
+
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|
| 2591 |
+
"raw_prediction": "<think>\n\n</think>\n\nB",
|
| 2592 |
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|
| 2593 |
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|
| 2594 |
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{
|
| 2595 |
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"row": 184,
|
| 2596 |
+
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|
| 2597 |
+
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|
| 2598 |
+
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|
| 2599 |
+
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|
| 2600 |
+
"raw_prediction": "<think>\n\n</think>\n\nC",
|
| 2601 |
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|
| 2602 |
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},
|
| 2603 |
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{
|
| 2604 |
+
"row": 185,
|
| 2605 |
+
"question_id": 10652,
|
| 2606 |
+
"category": "computer science",
|
| 2607 |
+
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|
| 2608 |
+
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|
| 2609 |
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|
| 2610 |
+
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|
| 2611 |
+
},
|
| 2612 |
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{
|
| 2613 |
+
"row": 186,
|
| 2614 |
+
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|
| 2615 |
+
"category": "chemistry",
|
| 2616 |
+
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|
| 2617 |
+
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|
| 2618 |
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"raw_prediction": "<think>\n\n</think>\n\nB. 6",
|
| 2619 |
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|
| 2620 |
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|
| 2621 |
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{
|
| 2622 |
+
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|
| 2623 |
+
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|
| 2624 |
+
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|
| 2625 |
+
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|
| 2626 |
+
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|
| 2627 |
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"raw_prediction": "<think>\n\n</think>\n\nE",
|
| 2628 |
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|
| 2629 |
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|
| 2630 |
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{
|
| 2631 |
+
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|
| 2632 |
+
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|
| 2633 |
+
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|
| 2634 |
+
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|
| 2635 |
+
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|
| 2636 |
+
"raw_prediction": "<think>\n\n</think>\n\nB",
|
| 2637 |
+
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|
| 2638 |
+
},
|
| 2639 |
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{
|
| 2640 |
+
"row": 189,
|
| 2641 |
+
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|
| 2642 |
+
"category": "chemistry",
|
| 2643 |
+
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|
| 2644 |
+
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|
| 2645 |
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"raw_prediction": "<think>\n\n</think>\n\nI",
|
| 2646 |
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|
| 2647 |
+
},
|
| 2648 |
+
{
|
| 2649 |
+
"row": 190,
|
| 2650 |
+
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|
| 2651 |
+
"category": "law",
|
| 2652 |
+
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|
| 2653 |
+
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|
| 2654 |
+
"raw_prediction": "<think>\n\n</think>\n\nE",
|
| 2655 |
+
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|
| 2656 |
+
},
|
| 2657 |
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{
|
| 2658 |
+
"row": 191,
|
| 2659 |
+
"question_id": 7643,
|
| 2660 |
+
"category": "economics",
|
| 2661 |
+
"target": "F",
|
| 2662 |
+
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|
| 2663 |
+
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|
| 2664 |
+
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|
| 2665 |
+
},
|
| 2666 |
+
{
|
| 2667 |
+
"row": 192,
|
| 2668 |
+
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|
| 2669 |
+
"category": "history",
|
| 2670 |
+
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|
| 2671 |
+
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|
| 2672 |
+
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|
| 2673 |
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|
| 2674 |
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},
|
| 2675 |
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{
|
| 2676 |
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|
| 2677 |
+
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|
| 2678 |
+
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|
| 2679 |
+
"target": "A",
|
| 2680 |
+
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|
| 2681 |
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|
| 2682 |
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|
| 2683 |
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|
| 2684 |
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{
|
| 2685 |
+
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|
| 2686 |
+
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|
| 2687 |
+
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|
| 2688 |
+
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|
| 2689 |
+
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|
| 2690 |
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"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 2691 |
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|
| 2692 |
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|
| 2693 |
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{
|
| 2694 |
+
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|
| 2695 |
+
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|
| 2696 |
+
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|
| 2697 |
+
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|
| 2698 |
+
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|
| 2699 |
+
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|
| 2700 |
+
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|
| 2701 |
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|
| 2702 |
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{
|
| 2703 |
+
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|
| 2704 |
+
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|
| 2705 |
+
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|
| 2706 |
+
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|
| 2707 |
+
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|
| 2708 |
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|
| 2709 |
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|
| 2710 |
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|
| 2711 |
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{
|
| 2712 |
+
"row": 197,
|
| 2713 |
+
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|
| 2714 |
+
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|
| 2715 |
+
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|
| 2716 |
+
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|
| 2717 |
+
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|
| 2718 |
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|
| 2719 |
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},
|
| 2720 |
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{
|
| 2721 |
+
"row": 198,
|
| 2722 |
+
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|
| 2723 |
+
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|
| 2724 |
+
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|
| 2725 |
+
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|
| 2726 |
+
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|
| 2727 |
+
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|
| 2728 |
+
},
|
| 2729 |
+
{
|
| 2730 |
+
"row": 199,
|
| 2731 |
+
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|
| 2732 |
+
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|
| 2733 |
+
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|
| 2734 |
+
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|
| 2735 |
+
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|
| 2736 |
+
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|
| 2737 |
+
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|
| 2738 |
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{
|
| 2739 |
+
"row": 200,
|
| 2740 |
+
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|
| 2741 |
+
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|
| 2742 |
+
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|
| 2743 |
+
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|
| 2744 |
+
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|
| 2745 |
+
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|
| 2746 |
+
},
|
| 2747 |
+
{
|
| 2748 |
+
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|
| 2749 |
+
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|
| 2750 |
+
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|
| 2751 |
+
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|
| 2752 |
+
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|
| 2753 |
+
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|
| 2754 |
+
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|
| 2755 |
+
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|
| 2756 |
+
{
|
| 2757 |
+
"row": 202,
|
| 2758 |
+
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|
| 2759 |
+
"category": "chemistry",
|
| 2760 |
+
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|
| 2761 |
+
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|
| 2762 |
+
"raw_prediction": "<think>\n\n</think>\n\nI. 1",
|
| 2763 |
+
"correct": false
|
| 2764 |
+
},
|
| 2765 |
+
{
|
| 2766 |
+
"row": 203,
|
| 2767 |
+
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|
| 2768 |
+
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|
| 2769 |
+
"target": "B",
|
| 2770 |
+
"prediction": "A",
|
| 2771 |
+
"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 2772 |
+
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|
| 2773 |
+
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|
| 2774 |
+
{
|
| 2775 |
+
"row": 204,
|
| 2776 |
+
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|
| 2777 |
+
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|
| 2778 |
+
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|
| 2779 |
+
"prediction": "I",
|
| 2780 |
+
"raw_prediction": "<think>\n\n</think>\n\nI. -0",
|
| 2781 |
+
"correct": false
|
| 2782 |
+
},
|
| 2783 |
+
{
|
| 2784 |
+
"row": 205,
|
| 2785 |
+
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|
| 2786 |
+
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|
| 2787 |
+
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|
| 2788 |
+
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|
| 2789 |
+
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|
| 2790 |
+
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|
| 2791 |
+
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|
| 2792 |
+
{
|
| 2793 |
+
"row": 206,
|
| 2794 |
+
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|
| 2795 |
+
"category": "computer science",
|
| 2796 |
+
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|
| 2797 |
+
"prediction": "A",
|
| 2798 |
+
"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 2799 |
+
"correct": false
|
| 2800 |
+
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|
| 2801 |
+
{
|
| 2802 |
+
"row": 207,
|
| 2803 |
+
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|
| 2804 |
+
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|
| 2805 |
+
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|
| 2806 |
+
"prediction": "H",
|
| 2807 |
+
"raw_prediction": "<think>\nOkay, let's try to",
|
| 2808 |
+
"correct": false
|
| 2809 |
+
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|
| 2810 |
+
{
|
| 2811 |
+
"row": 208,
|
| 2812 |
+
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|
| 2813 |
+
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|
| 2814 |
+
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|
| 2815 |
+
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|
| 2816 |
+
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|
| 2817 |
+
"correct": false
|
| 2818 |
+
},
|
| 2819 |
+
{
|
| 2820 |
+
"row": 209,
|
| 2821 |
+
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|
| 2822 |
+
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|
| 2823 |
+
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|
| 2824 |
+
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|
| 2825 |
+
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|
| 2826 |
+
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|
| 2827 |
+
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|
| 2828 |
+
{
|
| 2829 |
+
"row": 210,
|
| 2830 |
+
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|
| 2831 |
+
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|
| 2832 |
+
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|
| 2833 |
+
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|
| 2834 |
+
"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 2835 |
+
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|
| 2836 |
+
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|
| 2837 |
+
{
|
| 2838 |
+
"row": 211,
|
| 2839 |
+
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|
| 2840 |
+
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|
| 2841 |
+
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|
| 2842 |
+
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|
| 2843 |
+
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|
| 2844 |
+
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|
| 2845 |
+
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| 2846 |
+
{
|
| 2847 |
+
"row": 212,
|
| 2848 |
+
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|
| 2849 |
+
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|
| 2850 |
+
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|
| 2851 |
+
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|
| 2852 |
+
"raw_prediction": "<think>\nOkay, let's try to",
|
| 2853 |
+
"correct": false
|
| 2854 |
+
},
|
| 2855 |
+
{
|
| 2856 |
+
"row": 213,
|
| 2857 |
+
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|
| 2858 |
+
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|
| 2859 |
+
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|
| 2860 |
+
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|
| 2861 |
+
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|
| 2862 |
+
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|
| 2863 |
+
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|
| 2864 |
+
{
|
| 2865 |
+
"row": 214,
|
| 2866 |
+
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|
| 2867 |
+
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|
| 2868 |
+
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|
| 2869 |
+
"prediction": "H",
|
| 2870 |
+
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|
| 2871 |
+
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|
| 2872 |
+
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|
| 2873 |
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{
|
| 2874 |
+
"row": 215,
|
| 2875 |
+
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|
| 2876 |
+
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|
| 2877 |
+
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|
| 2878 |
+
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|
| 2879 |
+
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|
| 2880 |
+
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|
| 2881 |
+
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| 2882 |
+
{
|
| 2883 |
+
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|
| 2884 |
+
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|
| 2885 |
+
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|
| 2886 |
+
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|
| 2887 |
+
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|
| 2888 |
+
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|
| 2889 |
+
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|
| 2890 |
+
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|
| 2891 |
+
{
|
| 2892 |
+
"row": 217,
|
| 2893 |
+
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|
| 2894 |
+
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|
| 2895 |
+
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|
| 2896 |
+
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|
| 2897 |
+
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|
| 2898 |
+
"correct": true
|
| 2899 |
+
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| 2900 |
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{
|
| 2901 |
+
"row": 218,
|
| 2902 |
+
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|
| 2903 |
+
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|
| 2904 |
+
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|
| 2905 |
+
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| 2906 |
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"raw_prediction": "<think>\n\n</think>\n\nA",
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| 2907 |
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| 2908 |
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| 2909 |
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| 2910 |
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| 2911 |
+
"question_id": 2482,
|
| 2912 |
+
"category": "psychology",
|
| 2913 |
+
"target": "I",
|
| 2914 |
+
"prediction": "I",
|
| 2915 |
+
"raw_prediction": "<think>\n\n</think>\n\nI",
|
| 2916 |
+
"correct": true
|
| 2917 |
+
},
|
| 2918 |
+
{
|
| 2919 |
+
"row": 220,
|
| 2920 |
+
"question_id": 7909,
|
| 2921 |
+
"category": "math",
|
| 2922 |
+
"target": "A",
|
| 2923 |
+
"prediction": "H",
|
| 2924 |
+
"raw_prediction": "<think>\n\n</think>\n\nThe correct answer is",
|
| 2925 |
+
"correct": false
|
| 2926 |
+
},
|
| 2927 |
+
{
|
| 2928 |
+
"row": 221,
|
| 2929 |
+
"question_id": 7510,
|
| 2930 |
+
"category": "economics",
|
| 2931 |
+
"target": "I",
|
| 2932 |
+
"prediction": "B",
|
| 2933 |
+
"raw_prediction": "<think>\n\n</think>\n\nB. (iii",
|
| 2934 |
+
"correct": false
|
| 2935 |
+
},
|
| 2936 |
+
{
|
| 2937 |
+
"row": 222,
|
| 2938 |
+
"question_id": 11420,
|
| 2939 |
+
"category": "engineering",
|
| 2940 |
+
"target": "D",
|
| 2941 |
+
"prediction": "H",
|
| 2942 |
+
"raw_prediction": "<think>\nOkay, let's tackle this",
|
| 2943 |
+
"correct": false
|
| 2944 |
+
},
|
| 2945 |
+
{
|
| 2946 |
+
"row": 223,
|
| 2947 |
+
"question_id": 4795,
|
| 2948 |
+
"category": "history",
|
| 2949 |
+
"target": "D",
|
| 2950 |
+
"prediction": "A",
|
| 2951 |
+
"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 2952 |
+
"correct": false
|
| 2953 |
+
},
|
| 2954 |
+
{
|
| 2955 |
+
"row": 224,
|
| 2956 |
+
"question_id": 4158,
|
| 2957 |
+
"category": "chemistry",
|
| 2958 |
+
"target": "D",
|
| 2959 |
+
"prediction": "D",
|
| 2960 |
+
"raw_prediction": "<think>\n\n</think>\n\nD",
|
| 2961 |
+
"correct": true
|
| 2962 |
+
},
|
| 2963 |
+
{
|
| 2964 |
+
"row": 225,
|
| 2965 |
+
"question_id": 11899,
|
| 2966 |
+
"category": "engineering",
|
| 2967 |
+
"target": "B",
|
| 2968 |
+
"prediction": "B",
|
| 2969 |
+
"raw_prediction": "<think>\n\n</think>\n\nB",
|
| 2970 |
+
"correct": true
|
| 2971 |
+
},
|
| 2972 |
+
{
|
| 2973 |
+
"row": 226,
|
| 2974 |
+
"question_id": 5269,
|
| 2975 |
+
"category": "other",
|
| 2976 |
+
"target": "G",
|
| 2977 |
+
"prediction": "I",
|
| 2978 |
+
"raw_prediction": "<think>\n\n</think>\n\nI",
|
| 2979 |
+
"correct": false
|
| 2980 |
+
},
|
| 2981 |
+
{
|
| 2982 |
+
"row": 227,
|
| 2983 |
+
"question_id": 7982,
|
| 2984 |
+
"category": "math",
|
| 2985 |
+
"target": "I",
|
| 2986 |
+
"prediction": "I",
|
| 2987 |
+
"raw_prediction": "<think>\n\n</think>\n\nI think I need",
|
| 2988 |
+
"correct": true
|
| 2989 |
+
},
|
| 2990 |
+
{
|
| 2991 |
+
"row": 228,
|
| 2992 |
+
"question_id": 9452,
|
| 2993 |
+
"category": "physics",
|
| 2994 |
+
"target": "A",
|
| 2995 |
+
"prediction": "H",
|
| 2996 |
+
"raw_prediction": "<think>\n\n</think>\n\nThe moment of inertia",
|
| 2997 |
+
"correct": false
|
| 2998 |
+
},
|
| 2999 |
+
{
|
| 3000 |
+
"row": 229,
|
| 3001 |
+
"question_id": 2609,
|
| 3002 |
+
"category": "psychology",
|
| 3003 |
+
"target": "B",
|
| 3004 |
+
"prediction": "B",
|
| 3005 |
+
"raw_prediction": "<think>\n\n</think>\n\nB",
|
| 3006 |
+
"correct": true
|
| 3007 |
+
},
|
| 3008 |
+
{
|
| 3009 |
+
"row": 230,
|
| 3010 |
+
"question_id": 2016,
|
| 3011 |
+
"category": "psychology",
|
| 3012 |
+
"target": "C",
|
| 3013 |
+
"prediction": "B",
|
| 3014 |
+
"raw_prediction": "<think>\n\n</think>\n\nB",
|
| 3015 |
+
"correct": false
|
| 3016 |
+
},
|
| 3017 |
+
{
|
| 3018 |
+
"row": 231,
|
| 3019 |
+
"question_id": 2659,
|
| 3020 |
+
"category": "psychology",
|
| 3021 |
+
"target": "I",
|
| 3022 |
+
"prediction": "C",
|
| 3023 |
+
"raw_prediction": "<think>\n\n</think>\n\nC. cognitive therapy",
|
| 3024 |
+
"correct": false
|
| 3025 |
+
},
|
| 3026 |
+
{
|
| 3027 |
+
"row": 232,
|
| 3028 |
+
"question_id": 1240,
|
| 3029 |
+
"category": "law",
|
| 3030 |
+
"target": "I",
|
| 3031 |
+
"prediction": "B",
|
| 3032 |
+
"raw_prediction": "<think>\n\n</think>\n\nB",
|
| 3033 |
+
"correct": false
|
| 3034 |
+
},
|
| 3035 |
+
{
|
| 3036 |
+
"row": 233,
|
| 3037 |
+
"question_id": 9146,
|
| 3038 |
+
"category": "physics",
|
| 3039 |
+
"target": "D",
|
| 3040 |
+
"prediction": "H",
|
| 3041 |
+
"raw_prediction": "<think>\n\n</think>\n\nLet's break down",
|
| 3042 |
+
"correct": false
|
| 3043 |
+
},
|
| 3044 |
+
{
|
| 3045 |
+
"row": 234,
|
| 3046 |
+
"question_id": 1825,
|
| 3047 |
+
"category": "law",
|
| 3048 |
+
"target": "B",
|
| 3049 |
+
"prediction": "F",
|
| 3050 |
+
"raw_prediction": "<think>\n\n</think>\n\nF. admissible",
|
| 3051 |
+
"correct": false
|
| 3052 |
+
},
|
| 3053 |
+
{
|
| 3054 |
+
"row": 235,
|
| 3055 |
+
"question_id": 10217,
|
| 3056 |
+
"category": "physics",
|
| 3057 |
+
"target": "I",
|
| 3058 |
+
"prediction": "C",
|
| 3059 |
+
"raw_prediction": "<think>\n\n</think>\n\nC. 6",
|
| 3060 |
+
"correct": false
|
| 3061 |
+
},
|
| 3062 |
+
{
|
| 3063 |
+
"row": 236,
|
| 3064 |
+
"question_id": 4369,
|
| 3065 |
+
"category": "chemistry",
|
| 3066 |
+
"target": "I",
|
| 3067 |
+
"prediction": "H",
|
| 3068 |
+
"raw_prediction": "<think>\n\n</think>\n\nThe correct answer is",
|
| 3069 |
+
"correct": false
|
| 3070 |
+
},
|
| 3071 |
+
{
|
| 3072 |
+
"row": 237,
|
| 3073 |
+
"question_id": 2806,
|
| 3074 |
+
"category": "biology",
|
| 3075 |
+
"target": "C",
|
| 3076 |
+
"prediction": "D",
|
| 3077 |
+
"raw_prediction": "<think>\n\n</think>\n\nD",
|
| 3078 |
+
"correct": false
|
| 3079 |
+
},
|
| 3080 |
+
{
|
| 3081 |
+
"row": 238,
|
| 3082 |
+
"question_id": 1678,
|
| 3083 |
+
"category": "law",
|
| 3084 |
+
"target": "C",
|
| 3085 |
+
"prediction": "A",
|
| 3086 |
+
"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 3087 |
+
"correct": false
|
| 3088 |
+
},
|
| 3089 |
+
{
|
| 3090 |
+
"row": 239,
|
| 3091 |
+
"question_id": 1418,
|
| 3092 |
+
"category": "law",
|
| 3093 |
+
"target": "B",
|
| 3094 |
+
"prediction": "A",
|
| 3095 |
+
"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 3096 |
+
"correct": false
|
| 3097 |
+
},
|
| 3098 |
+
{
|
| 3099 |
+
"row": 240,
|
| 3100 |
+
"question_id": 3129,
|
| 3101 |
+
"category": "biology",
|
| 3102 |
+
"target": "F",
|
| 3103 |
+
"prediction": "F",
|
| 3104 |
+
"raw_prediction": "<think>\n\n</think>\n\nF",
|
| 3105 |
+
"correct": true
|
| 3106 |
+
},
|
| 3107 |
+
{
|
| 3108 |
+
"row": 241,
|
| 3109 |
+
"question_id": 4366,
|
| 3110 |
+
"category": "chemistry",
|
| 3111 |
+
"target": "H",
|
| 3112 |
+
"prediction": "H",
|
| 3113 |
+
"raw_prediction": "<think>\n\n</think>\n\nH",
|
| 3114 |
+
"correct": true
|
| 3115 |
+
},
|
| 3116 |
+
{
|
| 3117 |
+
"row": 242,
|
| 3118 |
+
"question_id": 10504,
|
| 3119 |
+
"category": "computer science",
|
| 3120 |
+
"target": "F",
|
| 3121 |
+
"prediction": "F",
|
| 3122 |
+
"raw_prediction": "<think>\n\n</think>\n\nF",
|
| 3123 |
+
"correct": true
|
| 3124 |
+
},
|
| 3125 |
+
{
|
| 3126 |
+
"row": 243,
|
| 3127 |
+
"question_id": 10740,
|
| 3128 |
+
"category": "computer science",
|
| 3129 |
+
"target": "E",
|
| 3130 |
+
"prediction": "H",
|
| 3131 |
+
"raw_prediction": "<think>\n\n</think>\n\nThe SNR is",
|
| 3132 |
+
"correct": false
|
| 3133 |
+
},
|
| 3134 |
+
{
|
| 3135 |
+
"row": 244,
|
| 3136 |
+
"question_id": 5458,
|
| 3137 |
+
"category": "other",
|
| 3138 |
+
"target": "G",
|
| 3139 |
+
"prediction": "C",
|
| 3140 |
+
"raw_prediction": "<think>\n\n</think>\n\nC",
|
| 3141 |
+
"correct": false
|
| 3142 |
+
},
|
| 3143 |
+
{
|
| 3144 |
+
"row": 245,
|
| 3145 |
+
"question_id": 4889,
|
| 3146 |
+
"category": "history",
|
| 3147 |
+
"target": "A",
|
| 3148 |
+
"prediction": "I",
|
| 3149 |
+
"raw_prediction": "<think>\n\n</think>\n\nI",
|
| 3150 |
+
"correct": false
|
| 3151 |
+
},
|
| 3152 |
+
{
|
| 3153 |
+
"row": 246,
|
| 3154 |
+
"question_id": 6375,
|
| 3155 |
+
"category": "health",
|
| 3156 |
+
"target": "B",
|
| 3157 |
+
"prediction": "H",
|
| 3158 |
+
"raw_prediction": "<think>\n\n</think>\n\nH",
|
| 3159 |
+
"correct": false
|
| 3160 |
+
},
|
| 3161 |
+
{
|
| 3162 |
+
"row": 247,
|
| 3163 |
+
"question_id": 905,
|
| 3164 |
+
"category": "law",
|
| 3165 |
+
"target": "A",
|
| 3166 |
+
"prediction": "H",
|
| 3167 |
+
"raw_prediction": "<think>\nOkay, let's try to",
|
| 3168 |
+
"correct": false
|
| 3169 |
+
},
|
| 3170 |
+
{
|
| 3171 |
+
"row": 248,
|
| 3172 |
+
"question_id": 3475,
|
| 3173 |
+
"category": "biology",
|
| 3174 |
+
"target": "B",
|
| 3175 |
+
"prediction": "B",
|
| 3176 |
+
"raw_prediction": "<think>\n\n</think>\n\nB",
|
| 3177 |
+
"correct": true
|
| 3178 |
+
},
|
| 3179 |
+
{
|
| 3180 |
+
"row": 249,
|
| 3181 |
+
"question_id": 7903,
|
| 3182 |
+
"category": "math",
|
| 3183 |
+
"target": "G",
|
| 3184 |
+
"prediction": "A",
|
| 3185 |
+
"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 3186 |
+
"correct": false
|
| 3187 |
+
},
|
| 3188 |
+
{
|
| 3189 |
+
"row": 250,
|
| 3190 |
+
"question_id": 5088,
|
| 3191 |
+
"category": "other",
|
| 3192 |
+
"target": "E",
|
| 3193 |
+
"prediction": "C",
|
| 3194 |
+
"raw_prediction": "<think>\n\n</think>\n\nC",
|
| 3195 |
+
"correct": false
|
| 3196 |
+
},
|
| 3197 |
+
{
|
| 3198 |
+
"row": 251,
|
| 3199 |
+
"question_id": 3586,
|
| 3200 |
+
"category": "chemistry",
|
| 3201 |
+
"target": "A",
|
| 3202 |
+
"prediction": "H",
|
| 3203 |
+
"raw_prediction": "<think>\nOkay, let's see.",
|
| 3204 |
+
"correct": false
|
| 3205 |
+
},
|
| 3206 |
+
{
|
| 3207 |
+
"row": 252,
|
| 3208 |
+
"question_id": 2927,
|
| 3209 |
+
"category": "biology",
|
| 3210 |
+
"target": "C",
|
| 3211 |
+
"prediction": "C",
|
| 3212 |
+
"raw_prediction": "<think>\n\n</think>\n\nC",
|
| 3213 |
+
"correct": true
|
| 3214 |
+
},
|
| 3215 |
+
{
|
| 3216 |
+
"row": 253,
|
| 3217 |
+
"question_id": 11343,
|
| 3218 |
+
"category": "engineering",
|
| 3219 |
+
"target": "I",
|
| 3220 |
+
"prediction": "I",
|
| 3221 |
+
"raw_prediction": "<think>\n\n</think>\n\nI. k^",
|
| 3222 |
+
"correct": true
|
| 3223 |
+
},
|
| 3224 |
+
{
|
| 3225 |
+
"row": 254,
|
| 3226 |
+
"question_id": 10056,
|
| 3227 |
+
"category": "physics",
|
| 3228 |
+
"target": "G",
|
| 3229 |
+
"prediction": "H",
|
| 3230 |
+
"raw_prediction": "<think>\n\n</think>\n\nThe correct answer is",
|
| 3231 |
+
"correct": false
|
| 3232 |
+
},
|
| 3233 |
+
{
|
| 3234 |
+
"row": 255,
|
| 3235 |
+
"question_id": 4488,
|
| 3236 |
+
"category": "chemistry",
|
| 3237 |
+
"target": "F",
|
| 3238 |
+
"prediction": "A",
|
| 3239 |
+
"raw_prediction": "<think>\n\n</think>\n\nA",
|
| 3240 |
+
"correct": false
|
| 3241 |
+
}
|
| 3242 |
+
]
|
| 3243 |
+
}
|
| 3244 |
+
},
|
| 3245 |
+
"elapsed_seconds": 71.423494185
|
| 3246 |
+
}
|
chat_template.jinja
ADDED
|
@@ -0,0 +1,89 @@
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- if tools %}
|
| 2 |
+
{{- '<|im_start|>system\n' }}
|
| 3 |
+
{%- if messages[0].role == 'system' %}
|
| 4 |
+
{{- messages[0].content + '\n\n' }}
|
| 5 |
+
{%- endif %}
|
| 6 |
+
{{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
|
| 7 |
+
{%- for tool in tools %}
|
| 8 |
+
{{- "\n" }}
|
| 9 |
+
{{- tool | tojson }}
|
| 10 |
+
{%- endfor %}
|
| 11 |
+
{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
|
| 12 |
+
{%- else %}
|
| 13 |
+
{%- if messages[0].role == 'system' %}
|
| 14 |
+
{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
|
| 15 |
+
{%- endif %}
|
| 16 |
+
{%- endif %}
|
| 17 |
+
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
|
| 18 |
+
{%- for message in messages[::-1] %}
|
| 19 |
+
{%- set index = (messages|length - 1) - loop.index0 %}
|
| 20 |
+
{%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
|
| 21 |
+
{%- set ns.multi_step_tool = false %}
|
| 22 |
+
{%- set ns.last_query_index = index %}
|
| 23 |
+
{%- endif %}
|
| 24 |
+
{%- endfor %}
|
| 25 |
+
{%- for message in messages %}
|
| 26 |
+
{%- if message.content is string %}
|
| 27 |
+
{%- set content = message.content %}
|
| 28 |
+
{%- else %}
|
| 29 |
+
{%- set content = '' %}
|
| 30 |
+
{%- endif %}
|
| 31 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
|
| 32 |
+
{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
|
| 33 |
+
{%- elif message.role == "assistant" %}
|
| 34 |
+
{%- set reasoning_content = '' %}
|
| 35 |
+
{%- if message.reasoning_content is string %}
|
| 36 |
+
{%- set reasoning_content = message.reasoning_content %}
|
| 37 |
+
{%- else %}
|
| 38 |
+
{%- if '</think>' in content %}
|
| 39 |
+
{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
|
| 40 |
+
{%- set content = content.split('</think>')[-1].lstrip('\n') %}
|
| 41 |
+
{%- endif %}
|
| 42 |
+
{%- endif %}
|
| 43 |
+
{%- if loop.index0 > ns.last_query_index %}
|
| 44 |
+
{%- if loop.last or (not loop.last and reasoning_content) %}
|
| 45 |
+
{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
|
| 46 |
+
{%- else %}
|
| 47 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 48 |
+
{%- endif %}
|
| 49 |
+
{%- else %}
|
| 50 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 51 |
+
{%- endif %}
|
| 52 |
+
{%- if message.tool_calls %}
|
| 53 |
+
{%- for tool_call in message.tool_calls %}
|
| 54 |
+
{%- if (loop.first and content) or (not loop.first) %}
|
| 55 |
+
{{- '\n' }}
|
| 56 |
+
{%- endif %}
|
| 57 |
+
{%- if tool_call.function %}
|
| 58 |
+
{%- set tool_call = tool_call.function %}
|
| 59 |
+
{%- endif %}
|
| 60 |
+
{{- '<tool_call>\n{"name": "' }}
|
| 61 |
+
{{- tool_call.name }}
|
| 62 |
+
{{- '", "arguments": ' }}
|
| 63 |
+
{%- if tool_call.arguments is string %}
|
| 64 |
+
{{- tool_call.arguments }}
|
| 65 |
+
{%- else %}
|
| 66 |
+
{{- tool_call.arguments | tojson }}
|
| 67 |
+
{%- endif %}
|
| 68 |
+
{{- '}\n</tool_call>' }}
|
| 69 |
+
{%- endfor %}
|
| 70 |
+
{%- endif %}
|
| 71 |
+
{{- '<|im_end|>\n' }}
|
| 72 |
+
{%- elif message.role == "tool" %}
|
| 73 |
+
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
| 74 |
+
{{- '<|im_start|>user' }}
|
| 75 |
+
{%- endif %}
|
| 76 |
+
{{- '\n<tool_response>\n' }}
|
| 77 |
+
{{- content }}
|
| 78 |
+
{{- '\n</tool_response>' }}
|
| 79 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 80 |
+
{{- '<|im_end|>\n' }}
|
| 81 |
+
{%- endif %}
|
| 82 |
+
{%- endif %}
|
| 83 |
+
{%- endfor %}
|
| 84 |
+
{%- if add_generation_prompt %}
|
| 85 |
+
{{- '<|im_start|>assistant\n' }}
|
| 86 |
+
{%- if enable_thinking is defined and enable_thinking is false %}
|
| 87 |
+
{{- '<think>\n\n</think>\n\n' }}
|
| 88 |
+
{%- endif %}
|
| 89 |
+
{%- endif %}
|
config.json
ADDED
|
@@ -0,0 +1,63 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen3ForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_bias": false,
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"bos_token_id": null,
|
| 8 |
+
"dtype": "bfloat16",
|
| 9 |
+
"eos_token_id": 151645,
|
| 10 |
+
"head_dim": 128,
|
| 11 |
+
"hidden_act": "silu",
|
| 12 |
+
"hidden_size": 2048,
|
| 13 |
+
"initializer_range": 0.02,
|
| 14 |
+
"intermediate_size": 6144,
|
| 15 |
+
"layer_types": [
|
| 16 |
+
"full_attention",
|
| 17 |
+
"full_attention",
|
| 18 |
+
"full_attention",
|
| 19 |
+
"full_attention",
|
| 20 |
+
"full_attention",
|
| 21 |
+
"full_attention",
|
| 22 |
+
"full_attention",
|
| 23 |
+
"full_attention",
|
| 24 |
+
"full_attention",
|
| 25 |
+
"full_attention",
|
| 26 |
+
"full_attention",
|
| 27 |
+
"full_attention",
|
| 28 |
+
"full_attention",
|
| 29 |
+
"full_attention",
|
| 30 |
+
"full_attention",
|
| 31 |
+
"full_attention",
|
| 32 |
+
"full_attention",
|
| 33 |
+
"full_attention",
|
| 34 |
+
"full_attention",
|
| 35 |
+
"full_attention",
|
| 36 |
+
"full_attention",
|
| 37 |
+
"full_attention",
|
| 38 |
+
"full_attention",
|
| 39 |
+
"full_attention",
|
| 40 |
+
"full_attention",
|
| 41 |
+
"full_attention",
|
| 42 |
+
"full_attention",
|
| 43 |
+
"full_attention"
|
| 44 |
+
],
|
| 45 |
+
"max_position_embeddings": 40960,
|
| 46 |
+
"max_window_layers": 28,
|
| 47 |
+
"model_type": "qwen3",
|
| 48 |
+
"num_attention_heads": 16,
|
| 49 |
+
"num_hidden_layers": 28,
|
| 50 |
+
"num_key_value_heads": 8,
|
| 51 |
+
"pad_token_id": 151643,
|
| 52 |
+
"rms_norm_eps": 1e-06,
|
| 53 |
+
"rope_parameters": {
|
| 54 |
+
"rope_theta": 1000000,
|
| 55 |
+
"rope_type": "default"
|
| 56 |
+
},
|
| 57 |
+
"sliding_window": null,
|
| 58 |
+
"tie_word_embeddings": true,
|
| 59 |
+
"transformers_version": "5.8.0.dev0",
|
| 60 |
+
"use_cache": true,
|
| 61 |
+
"use_sliding_window": false,
|
| 62 |
+
"vocab_size": 151936
|
| 63 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"do_sample": true,
|
| 3 |
+
"eos_token_id": [
|
| 4 |
+
151645,
|
| 5 |
+
151643
|
| 6 |
+
],
|
| 7 |
+
"pad_token_id": 151643,
|
| 8 |
+
"temperature": 0.6,
|
| 9 |
+
"top_k": 20,
|
| 10 |
+
"top_p": 0.95,
|
| 11 |
+
"transformers_version": "5.8.0.dev0"
|
| 12 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8c973518270243f4aaf0d472869f92ea26b11ad0f134c30a02e46da373869487
|
| 3 |
+
size 3441185608
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:be75606093db2094d7cd20f3c2f385c212750648bd6ea4fb2bf507a6a4c55506
|
| 3 |
+
size 11422650
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"backend": "tokenizers",
|
| 4 |
+
"bos_token": null,
|
| 5 |
+
"clean_up_tokenization_spaces": false,
|
| 6 |
+
"eos_token": "<|im_end|>",
|
| 7 |
+
"errors": "replace",
|
| 8 |
+
"extra_special_tokens": [
|
| 9 |
+
"<|im_start|>",
|
| 10 |
+
"<|im_end|>",
|
| 11 |
+
"<|object_ref_start|>",
|
| 12 |
+
"<|object_ref_end|>",
|
| 13 |
+
"<|box_start|>",
|
| 14 |
+
"<|box_end|>",
|
| 15 |
+
"<|quad_start|>",
|
| 16 |
+
"<|quad_end|>",
|
| 17 |
+
"<|vision_start|>",
|
| 18 |
+
"<|vision_end|>",
|
| 19 |
+
"<|vision_pad|>",
|
| 20 |
+
"<|image_pad|>",
|
| 21 |
+
"<|video_pad|>"
|
| 22 |
+
],
|
| 23 |
+
"is_local": false,
|
| 24 |
+
"local_files_only": false,
|
| 25 |
+
"model_max_length": 131072,
|
| 26 |
+
"pad_token": "<|endoftext|>",
|
| 27 |
+
"split_special_tokens": false,
|
| 28 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 29 |
+
"unk_token": null
|
| 30 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c85da380c33f3ac601ddbd1b9f526327d9f2cc3896c365e9df0eb6e7c49b35cd
|
| 3 |
+
size 5777
|