Xiaowen-dg
commited on
Commit
•
8d0d206
1
Parent(s):
1fd9004
Upload README.md with huggingface_hub
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README.md
CHANGED
@@ -2097,6 +2097,3258 @@ model-index:
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2097 |
Vulnerability Tsx async abort: Not affected
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|
2100 |
Versions of relevant libraries:
|
2101 |
|
2102 |
[pip3] numpy==1.24.1
|
|
|
2097 |
Vulnerability Tsx async abort: Not affected
|
2098 |
|
2099 |
|
2100 |
+
Versions of relevant libraries:
|
2101 |
+
|
2102 |
+
[pip3] numpy==1.24.1
|
2103 |
+
|
2104 |
+
[pip3] torch==2.1.2
|
2105 |
+
|
2106 |
+
[pip3] torchaudio==2.0.2+cu118
|
2107 |
+
|
2108 |
+
[pip3] torchvision==0.15.2+cu118
|
2109 |
+
|
2110 |
+
[pip3] triton==2.1.0
|
2111 |
+
|
2112 |
+
[conda] Could not collect'
|
2113 |
+
transformers_version: 4.42.4
|
2114 |
+
- task:
|
2115 |
+
type: mmlu
|
2116 |
+
dataset:
|
2117 |
+
name: mmlu
|
2118 |
+
type: public-dataset
|
2119 |
+
metrics:
|
2120 |
+
- type: acc
|
2121 |
+
value: '0.595'
|
2122 |
+
args:
|
2123 |
+
results:
|
2124 |
+
mmlu:
|
2125 |
+
acc,none: 0.5817547357926222
|
2126 |
+
acc_stderr,none: 0.0039373066351597085
|
2127 |
+
alias: mmlu
|
2128 |
+
mmlu_humanities:
|
2129 |
+
alias: ' - humanities'
|
2130 |
+
acc,none: 0.5247608926673751
|
2131 |
+
acc_stderr,none: 0.006839745323517898
|
2132 |
+
mmlu_formal_logic:
|
2133 |
+
alias: ' - formal_logic'
|
2134 |
+
acc,none: 0.35714285714285715
|
2135 |
+
acc_stderr,none: 0.042857142857142816
|
2136 |
+
mmlu_high_school_european_history:
|
2137 |
+
alias: ' - high_school_european_history'
|
2138 |
+
acc,none: 0.696969696969697
|
2139 |
+
acc_stderr,none: 0.035886248000917075
|
2140 |
+
mmlu_high_school_us_history:
|
2141 |
+
alias: ' - high_school_us_history'
|
2142 |
+
acc,none: 0.7745098039215687
|
2143 |
+
acc_stderr,none: 0.02933116229425172
|
2144 |
+
mmlu_high_school_world_history:
|
2145 |
+
alias: ' - high_school_world_history'
|
2146 |
+
acc,none: 0.7974683544303798
|
2147 |
+
acc_stderr,none: 0.026160568246601453
|
2148 |
+
mmlu_international_law:
|
2149 |
+
alias: ' - international_law'
|
2150 |
+
acc,none: 0.7107438016528925
|
2151 |
+
acc_stderr,none: 0.041391127276354626
|
2152 |
+
mmlu_jurisprudence:
|
2153 |
+
alias: ' - jurisprudence'
|
2154 |
+
acc,none: 0.7037037037037037
|
2155 |
+
acc_stderr,none: 0.04414343666854932
|
2156 |
+
mmlu_logical_fallacies:
|
2157 |
+
alias: ' - logical_fallacies'
|
2158 |
+
acc,none: 0.7055214723926381
|
2159 |
+
acc_stderr,none: 0.03581165790474082
|
2160 |
+
mmlu_moral_disputes:
|
2161 |
+
alias: ' - moral_disputes'
|
2162 |
+
acc,none: 0.615606936416185
|
2163 |
+
acc_stderr,none: 0.026189666966272028
|
2164 |
+
mmlu_moral_scenarios:
|
2165 |
+
alias: ' - moral_scenarios'
|
2166 |
+
acc,none: 0.2837988826815642
|
2167 |
+
acc_stderr,none: 0.01507835897075178
|
2168 |
+
mmlu_philosophy:
|
2169 |
+
alias: ' - philosophy'
|
2170 |
+
acc,none: 0.6591639871382636
|
2171 |
+
acc_stderr,none: 0.02692084126077615
|
2172 |
+
mmlu_prehistory:
|
2173 |
+
alias: ' - prehistory'
|
2174 |
+
acc,none: 0.6666666666666666
|
2175 |
+
acc_stderr,none: 0.026229649178821163
|
2176 |
+
mmlu_professional_law:
|
2177 |
+
alias: ' - professional_law'
|
2178 |
+
acc,none: 0.4348109517601043
|
2179 |
+
acc_stderr,none: 0.012661233805616292
|
2180 |
+
mmlu_world_religions:
|
2181 |
+
alias: ' - world_religions'
|
2182 |
+
acc,none: 0.7602339181286549
|
2183 |
+
acc_stderr,none: 0.03274485211946956
|
2184 |
+
mmlu_other:
|
2185 |
+
alias: ' - other'
|
2186 |
+
acc,none: 0.6678467975539105
|
2187 |
+
acc_stderr,none: 0.008199669520892388
|
2188 |
+
mmlu_business_ethics:
|
2189 |
+
alias: ' - business_ethics'
|
2190 |
+
acc,none: 0.6
|
2191 |
+
acc_stderr,none: 0.049236596391733084
|
2192 |
+
mmlu_clinical_knowledge:
|
2193 |
+
alias: ' - clinical_knowledge'
|
2194 |
+
acc,none: 0.6943396226415094
|
2195 |
+
acc_stderr,none: 0.028353298073322663
|
2196 |
+
mmlu_college_medicine:
|
2197 |
+
alias: ' - college_medicine'
|
2198 |
+
acc,none: 0.5780346820809249
|
2199 |
+
acc_stderr,none: 0.03765746693865151
|
2200 |
+
mmlu_global_facts:
|
2201 |
+
alias: ' - global_facts'
|
2202 |
+
acc,none: 0.41
|
2203 |
+
acc_stderr,none: 0.04943110704237102
|
2204 |
+
mmlu_human_aging:
|
2205 |
+
alias: ' - human_aging'
|
2206 |
+
acc,none: 0.6681614349775785
|
2207 |
+
acc_stderr,none: 0.03160295143776679
|
2208 |
+
mmlu_management:
|
2209 |
+
alias: ' - management'
|
2210 |
+
acc,none: 0.7766990291262136
|
2211 |
+
acc_stderr,none: 0.04123553189891431
|
2212 |
+
mmlu_marketing:
|
2213 |
+
alias: ' - marketing'
|
2214 |
+
acc,none: 0.8076923076923077
|
2215 |
+
acc_stderr,none: 0.025819233256483706
|
2216 |
+
mmlu_medical_genetics:
|
2217 |
+
alias: ' - medical_genetics'
|
2218 |
+
acc,none: 0.7
|
2219 |
+
acc_stderr,none: 0.046056618647183814
|
2220 |
+
mmlu_miscellaneous:
|
2221 |
+
alias: ' - miscellaneous'
|
2222 |
+
acc,none: 0.7879948914431673
|
2223 |
+
acc_stderr,none: 0.014616099385833688
|
2224 |
+
mmlu_nutrition:
|
2225 |
+
alias: ' - nutrition'
|
2226 |
+
acc,none: 0.6503267973856209
|
2227 |
+
acc_stderr,none: 0.027305308076274695
|
2228 |
+
mmlu_professional_accounting:
|
2229 |
+
alias: ' - professional_accounting'
|
2230 |
+
acc,none: 0.46808510638297873
|
2231 |
+
acc_stderr,none: 0.02976667507587387
|
2232 |
+
mmlu_professional_medicine:
|
2233 |
+
alias: ' - professional_medicine'
|
2234 |
+
acc,none: 0.6360294117647058
|
2235 |
+
acc_stderr,none: 0.029227192460032032
|
2236 |
+
mmlu_virology:
|
2237 |
+
alias: ' - virology'
|
2238 |
+
acc,none: 0.4879518072289157
|
2239 |
+
acc_stderr,none: 0.038913644958358196
|
2240 |
+
mmlu_social_sciences:
|
2241 |
+
alias: ' - social_sciences'
|
2242 |
+
acc,none: 0.6785830354241144
|
2243 |
+
acc_stderr,none: 0.00821975248078532
|
2244 |
+
mmlu_econometrics:
|
2245 |
+
alias: ' - econometrics'
|
2246 |
+
acc,none: 0.43859649122807015
|
2247 |
+
acc_stderr,none: 0.04668000738510455
|
2248 |
+
mmlu_high_school_geography:
|
2249 |
+
alias: ' - high_school_geography'
|
2250 |
+
acc,none: 0.6868686868686869
|
2251 |
+
acc_stderr,none: 0.03304205087813652
|
2252 |
+
mmlu_high_school_government_and_politics:
|
2253 |
+
alias: ' - high_school_government_and_politics'
|
2254 |
+
acc,none: 0.8031088082901554
|
2255 |
+
acc_stderr,none: 0.028697873971860702
|
2256 |
+
mmlu_high_school_macroeconomics:
|
2257 |
+
alias: ' - high_school_macroeconomics'
|
2258 |
+
acc,none: 0.5153846153846153
|
2259 |
+
acc_stderr,none: 0.025339003010106515
|
2260 |
+
mmlu_high_school_microeconomics:
|
2261 |
+
alias: ' - high_school_microeconomics'
|
2262 |
+
acc,none: 0.6512605042016807
|
2263 |
+
acc_stderr,none: 0.030956636328566548
|
2264 |
+
mmlu_high_school_psychology:
|
2265 |
+
alias: ' - high_school_psychology'
|
2266 |
+
acc,none: 0.7669724770642202
|
2267 |
+
acc_stderr,none: 0.0181256691808615
|
2268 |
+
mmlu_human_sexuality:
|
2269 |
+
alias: ' - human_sexuality'
|
2270 |
+
acc,none: 0.7099236641221374
|
2271 |
+
acc_stderr,none: 0.03980066246467765
|
2272 |
+
mmlu_professional_psychology:
|
2273 |
+
alias: ' - professional_psychology'
|
2274 |
+
acc,none: 0.619281045751634
|
2275 |
+
acc_stderr,none: 0.019643801557924806
|
2276 |
+
mmlu_public_relations:
|
2277 |
+
alias: ' - public_relations'
|
2278 |
+
acc,none: 0.6727272727272727
|
2279 |
+
acc_stderr,none: 0.0449429086625209
|
2280 |
+
mmlu_security_studies:
|
2281 |
+
alias: ' - security_studies'
|
2282 |
+
acc,none: 0.726530612244898
|
2283 |
+
acc_stderr,none: 0.028535560337128445
|
2284 |
+
mmlu_sociology:
|
2285 |
+
alias: ' - sociology'
|
2286 |
+
acc,none: 0.8208955223880597
|
2287 |
+
acc_stderr,none: 0.027113286753111837
|
2288 |
+
mmlu_us_foreign_policy:
|
2289 |
+
alias: ' - us_foreign_policy'
|
2290 |
+
acc,none: 0.84
|
2291 |
+
acc_stderr,none: 0.03684529491774708
|
2292 |
+
mmlu_stem:
|
2293 |
+
alias: ' - stem'
|
2294 |
+
acc,none: 0.4874722486520774
|
2295 |
+
acc_stderr,none: 0.008583025767956746
|
2296 |
+
mmlu_abstract_algebra:
|
2297 |
+
alias: ' - abstract_algebra'
|
2298 |
+
acc,none: 0.31
|
2299 |
+
acc_stderr,none: 0.04648231987117316
|
2300 |
+
mmlu_anatomy:
|
2301 |
+
alias: ' - anatomy'
|
2302 |
+
acc,none: 0.5481481481481482
|
2303 |
+
acc_stderr,none: 0.04299268905480864
|
2304 |
+
mmlu_astronomy:
|
2305 |
+
alias: ' - astronomy'
|
2306 |
+
acc,none: 0.6118421052631579
|
2307 |
+
acc_stderr,none: 0.03965842097512744
|
2308 |
+
mmlu_college_biology:
|
2309 |
+
alias: ' - college_biology'
|
2310 |
+
acc,none: 0.7569444444444444
|
2311 |
+
acc_stderr,none: 0.03586879280080341
|
2312 |
+
mmlu_college_chemistry:
|
2313 |
+
alias: ' - college_chemistry'
|
2314 |
+
acc,none: 0.38
|
2315 |
+
acc_stderr,none: 0.04878317312145633
|
2316 |
+
mmlu_college_computer_science:
|
2317 |
+
alias: ' - college_computer_science'
|
2318 |
+
acc,none: 0.4
|
2319 |
+
acc_stderr,none: 0.049236596391733084
|
2320 |
+
mmlu_college_mathematics:
|
2321 |
+
alias: ' - college_mathematics'
|
2322 |
+
acc,none: 0.35
|
2323 |
+
acc_stderr,none: 0.04793724854411019
|
2324 |
+
mmlu_college_physics:
|
2325 |
+
alias: ' - college_physics'
|
2326 |
+
acc,none: 0.37254901960784315
|
2327 |
+
acc_stderr,none: 0.04810840148082633
|
2328 |
+
mmlu_computer_security:
|
2329 |
+
alias: ' - computer_security'
|
2330 |
+
acc,none: 0.67
|
2331 |
+
acc_stderr,none: 0.04725815626252609
|
2332 |
+
mmlu_conceptual_physics:
|
2333 |
+
alias: ' - conceptual_physics'
|
2334 |
+
acc,none: 0.5234042553191489
|
2335 |
+
acc_stderr,none: 0.032650194750335815
|
2336 |
+
mmlu_electrical_engineering:
|
2337 |
+
alias: ' - electrical_engineering'
|
2338 |
+
acc,none: 0.5172413793103449
|
2339 |
+
acc_stderr,none: 0.04164188720169375
|
2340 |
+
mmlu_elementary_mathematics:
|
2341 |
+
alias: ' - elementary_mathematics'
|
2342 |
+
acc,none: 0.373015873015873
|
2343 |
+
acc_stderr,none: 0.02490699045899257
|
2344 |
+
mmlu_high_school_biology:
|
2345 |
+
alias: ' - high_school_biology'
|
2346 |
+
acc,none: 0.7225806451612903
|
2347 |
+
acc_stderr,none: 0.02547019683590005
|
2348 |
+
mmlu_high_school_chemistry:
|
2349 |
+
alias: ' - high_school_chemistry'
|
2350 |
+
acc,none: 0.4630541871921182
|
2351 |
+
acc_stderr,none: 0.035083705204426656
|
2352 |
+
mmlu_high_school_computer_science:
|
2353 |
+
alias: ' - high_school_computer_science'
|
2354 |
+
acc,none: 0.62
|
2355 |
+
acc_stderr,none: 0.048783173121456316
|
2356 |
+
mmlu_high_school_mathematics:
|
2357 |
+
alias: ' - high_school_mathematics'
|
2358 |
+
acc,none: 0.32222222222222224
|
2359 |
+
acc_stderr,none: 0.028493465091028593
|
2360 |
+
mmlu_high_school_physics:
|
2361 |
+
alias: ' - high_school_physics'
|
2362 |
+
acc,none: 0.3576158940397351
|
2363 |
+
acc_stderr,none: 0.03913453431177258
|
2364 |
+
mmlu_high_school_statistics:
|
2365 |
+
alias: ' - high_school_statistics'
|
2366 |
+
acc,none: 0.4398148148148148
|
2367 |
+
acc_stderr,none: 0.033851779760448106
|
2368 |
+
mmlu_machine_learning:
|
2369 |
+
alias: ' - machine_learning'
|
2370 |
+
acc,none: 0.5089285714285714
|
2371 |
+
acc_stderr,none: 0.04745033255489123
|
2372 |
+
groups:
|
2373 |
+
mmlu:
|
2374 |
+
acc,none: 0.5817547357926222
|
2375 |
+
acc_stderr,none: 0.0039373066351597085
|
2376 |
+
alias: mmlu
|
2377 |
+
mmlu_humanities:
|
2378 |
+
alias: ' - humanities'
|
2379 |
+
acc,none: 0.5247608926673751
|
2380 |
+
acc_stderr,none: 0.006839745323517898
|
2381 |
+
mmlu_other:
|
2382 |
+
alias: ' - other'
|
2383 |
+
acc,none: 0.6678467975539105
|
2384 |
+
acc_stderr,none: 0.008199669520892388
|
2385 |
+
mmlu_social_sciences:
|
2386 |
+
alias: ' - social_sciences'
|
2387 |
+
acc,none: 0.6785830354241144
|
2388 |
+
acc_stderr,none: 0.00821975248078532
|
2389 |
+
mmlu_stem:
|
2390 |
+
alias: ' - stem'
|
2391 |
+
acc,none: 0.4874722486520774
|
2392 |
+
acc_stderr,none: 0.008583025767956746
|
2393 |
+
group_subtasks:
|
2394 |
+
mmlu_stem:
|
2395 |
+
- mmlu_college_computer_science
|
2396 |
+
- mmlu_college_chemistry
|
2397 |
+
- mmlu_college_biology
|
2398 |
+
- mmlu_astronomy
|
2399 |
+
- mmlu_anatomy
|
2400 |
+
- mmlu_abstract_algebra
|
2401 |
+
- mmlu_machine_learning
|
2402 |
+
- mmlu_high_school_statistics
|
2403 |
+
- mmlu_high_school_physics
|
2404 |
+
- mmlu_high_school_mathematics
|
2405 |
+
- mmlu_high_school_computer_science
|
2406 |
+
- mmlu_high_school_chemistry
|
2407 |
+
- mmlu_high_school_biology
|
2408 |
+
- mmlu_elementary_mathematics
|
2409 |
+
- mmlu_electrical_engineering
|
2410 |
+
- mmlu_conceptual_physics
|
2411 |
+
- mmlu_computer_security
|
2412 |
+
- mmlu_college_physics
|
2413 |
+
- mmlu_college_mathematics
|
2414 |
+
mmlu_other:
|
2415 |
+
- mmlu_clinical_knowledge
|
2416 |
+
- mmlu_business_ethics
|
2417 |
+
- mmlu_virology
|
2418 |
+
- mmlu_professional_medicine
|
2419 |
+
- mmlu_professional_accounting
|
2420 |
+
- mmlu_nutrition
|
2421 |
+
- mmlu_miscellaneous
|
2422 |
+
- mmlu_medical_genetics
|
2423 |
+
- mmlu_marketing
|
2424 |
+
- mmlu_management
|
2425 |
+
- mmlu_human_aging
|
2426 |
+
- mmlu_global_facts
|
2427 |
+
- mmlu_college_medicine
|
2428 |
+
mmlu_social_sciences:
|
2429 |
+
- mmlu_us_foreign_policy
|
2430 |
+
- mmlu_sociology
|
2431 |
+
- mmlu_security_studies
|
2432 |
+
- mmlu_public_relations
|
2433 |
+
- mmlu_professional_psychology
|
2434 |
+
- mmlu_human_sexuality
|
2435 |
+
- mmlu_high_school_psychology
|
2436 |
+
- mmlu_high_school_microeconomics
|
2437 |
+
- mmlu_high_school_macroeconomics
|
2438 |
+
- mmlu_high_school_government_and_politics
|
2439 |
+
- mmlu_high_school_geography
|
2440 |
+
- mmlu_econometrics
|
2441 |
+
mmlu_humanities:
|
2442 |
+
- mmlu_world_religions
|
2443 |
+
- mmlu_professional_law
|
2444 |
+
- mmlu_prehistory
|
2445 |
+
- mmlu_philosophy
|
2446 |
+
- mmlu_moral_scenarios
|
2447 |
+
- mmlu_moral_disputes
|
2448 |
+
- mmlu_logical_fallacies
|
2449 |
+
- mmlu_jurisprudence
|
2450 |
+
- mmlu_international_law
|
2451 |
+
- mmlu_high_school_world_history
|
2452 |
+
- mmlu_high_school_us_history
|
2453 |
+
- mmlu_high_school_european_history
|
2454 |
+
- mmlu_formal_logic
|
2455 |
+
mmlu:
|
2456 |
+
- mmlu_humanities
|
2457 |
+
- mmlu_social_sciences
|
2458 |
+
- mmlu_other
|
2459 |
+
- mmlu_stem
|
2460 |
+
configs:
|
2461 |
+
mmlu_abstract_algebra:
|
2462 |
+
task: mmlu_abstract_algebra
|
2463 |
+
task_alias: abstract_algebra
|
2464 |
+
group: mmlu_stem
|
2465 |
+
group_alias: stem
|
2466 |
+
dataset_path: hails/mmlu_no_train
|
2467 |
+
dataset_name: abstract_algebra
|
2468 |
+
test_split: test
|
2469 |
+
fewshot_split: dev
|
2470 |
+
doc_to_text: '{{question.strip()}}
|
2471 |
+
|
2472 |
+
A. {{choices[0]}}
|
2473 |
+
|
2474 |
+
B. {{choices[1]}}
|
2475 |
+
|
2476 |
+
C. {{choices[2]}}
|
2477 |
+
|
2478 |
+
D. {{choices[3]}}
|
2479 |
+
|
2480 |
+
Answer:'
|
2481 |
+
doc_to_target: answer
|
2482 |
+
doc_to_choice:
|
2483 |
+
- A
|
2484 |
+
- B
|
2485 |
+
- C
|
2486 |
+
- D
|
2487 |
+
description: 'The following are multiple choice questions (with answers)
|
2488 |
+
about abstract algebra.
|
2489 |
+
|
2490 |
+
|
2491 |
+
'
|
2492 |
+
target_delimiter: ' '
|
2493 |
+
fewshot_delimiter: '
|
2494 |
+
|
2495 |
+
|
2496 |
+
'
|
2497 |
+
fewshot_config:
|
2498 |
+
sampler: first_n
|
2499 |
+
metric_list:
|
2500 |
+
- metric: acc
|
2501 |
+
aggregation: mean
|
2502 |
+
higher_is_better: true
|
2503 |
+
output_type: multiple_choice
|
2504 |
+
repeats: 1
|
2505 |
+
should_decontaminate: false
|
2506 |
+
metadata:
|
2507 |
+
version: 0.0
|
2508 |
+
mmlu_anatomy:
|
2509 |
+
task: mmlu_anatomy
|
2510 |
+
task_alias: anatomy
|
2511 |
+
group: mmlu_stem
|
2512 |
+
group_alias: stem
|
2513 |
+
dataset_path: hails/mmlu_no_train
|
2514 |
+
dataset_name: anatomy
|
2515 |
+
test_split: test
|
2516 |
+
fewshot_split: dev
|
2517 |
+
doc_to_text: '{{question.strip()}}
|
2518 |
+
|
2519 |
+
A. {{choices[0]}}
|
2520 |
+
|
2521 |
+
B. {{choices[1]}}
|
2522 |
+
|
2523 |
+
C. {{choices[2]}}
|
2524 |
+
|
2525 |
+
D. {{choices[3]}}
|
2526 |
+
|
2527 |
+
Answer:'
|
2528 |
+
doc_to_target: answer
|
2529 |
+
doc_to_choice:
|
2530 |
+
- A
|
2531 |
+
- B
|
2532 |
+
- C
|
2533 |
+
- D
|
2534 |
+
description: 'The following are multiple choice questions (with answers)
|
2535 |
+
about anatomy.
|
2536 |
+
|
2537 |
+
|
2538 |
+
'
|
2539 |
+
target_delimiter: ' '
|
2540 |
+
fewshot_delimiter: '
|
2541 |
+
|
2542 |
+
|
2543 |
+
'
|
2544 |
+
fewshot_config:
|
2545 |
+
sampler: first_n
|
2546 |
+
metric_list:
|
2547 |
+
- metric: acc
|
2548 |
+
aggregation: mean
|
2549 |
+
higher_is_better: true
|
2550 |
+
output_type: multiple_choice
|
2551 |
+
repeats: 1
|
2552 |
+
should_decontaminate: false
|
2553 |
+
metadata:
|
2554 |
+
version: 0.0
|
2555 |
+
mmlu_astronomy:
|
2556 |
+
task: mmlu_astronomy
|
2557 |
+
task_alias: astronomy
|
2558 |
+
group: mmlu_stem
|
2559 |
+
group_alias: stem
|
2560 |
+
dataset_path: hails/mmlu_no_train
|
2561 |
+
dataset_name: astronomy
|
2562 |
+
test_split: test
|
2563 |
+
fewshot_split: dev
|
2564 |
+
doc_to_text: '{{question.strip()}}
|
2565 |
+
|
2566 |
+
A. {{choices[0]}}
|
2567 |
+
|
2568 |
+
B. {{choices[1]}}
|
2569 |
+
|
2570 |
+
C. {{choices[2]}}
|
2571 |
+
|
2572 |
+
D. {{choices[3]}}
|
2573 |
+
|
2574 |
+
Answer:'
|
2575 |
+
doc_to_target: answer
|
2576 |
+
doc_to_choice:
|
2577 |
+
- A
|
2578 |
+
- B
|
2579 |
+
- C
|
2580 |
+
- D
|
2581 |
+
description: 'The following are multiple choice questions (with answers)
|
2582 |
+
about astronomy.
|
2583 |
+
|
2584 |
+
|
2585 |
+
'
|
2586 |
+
target_delimiter: ' '
|
2587 |
+
fewshot_delimiter: '
|
2588 |
+
|
2589 |
+
|
2590 |
+
'
|
2591 |
+
fewshot_config:
|
2592 |
+
sampler: first_n
|
2593 |
+
metric_list:
|
2594 |
+
- metric: acc
|
2595 |
+
aggregation: mean
|
2596 |
+
higher_is_better: true
|
2597 |
+
output_type: multiple_choice
|
2598 |
+
repeats: 1
|
2599 |
+
should_decontaminate: false
|
2600 |
+
metadata:
|
2601 |
+
version: 0.0
|
2602 |
+
mmlu_business_ethics:
|
2603 |
+
task: mmlu_business_ethics
|
2604 |
+
task_alias: business_ethics
|
2605 |
+
group: mmlu_other
|
2606 |
+
group_alias: other
|
2607 |
+
dataset_path: hails/mmlu_no_train
|
2608 |
+
dataset_name: business_ethics
|
2609 |
+
test_split: test
|
2610 |
+
fewshot_split: dev
|
2611 |
+
doc_to_text: '{{question.strip()}}
|
2612 |
+
|
2613 |
+
A. {{choices[0]}}
|
2614 |
+
|
2615 |
+
B. {{choices[1]}}
|
2616 |
+
|
2617 |
+
C. {{choices[2]}}
|
2618 |
+
|
2619 |
+
D. {{choices[3]}}
|
2620 |
+
|
2621 |
+
Answer:'
|
2622 |
+
doc_to_target: answer
|
2623 |
+
doc_to_choice:
|
2624 |
+
- A
|
2625 |
+
- B
|
2626 |
+
- C
|
2627 |
+
- D
|
2628 |
+
description: 'The following are multiple choice questions (with answers)
|
2629 |
+
about business ethics.
|
2630 |
+
|
2631 |
+
|
2632 |
+
'
|
2633 |
+
target_delimiter: ' '
|
2634 |
+
fewshot_delimiter: '
|
2635 |
+
|
2636 |
+
|
2637 |
+
'
|
2638 |
+
fewshot_config:
|
2639 |
+
sampler: first_n
|
2640 |
+
metric_list:
|
2641 |
+
- metric: acc
|
2642 |
+
aggregation: mean
|
2643 |
+
higher_is_better: true
|
2644 |
+
output_type: multiple_choice
|
2645 |
+
repeats: 1
|
2646 |
+
should_decontaminate: false
|
2647 |
+
metadata:
|
2648 |
+
version: 0.0
|
2649 |
+
mmlu_clinical_knowledge:
|
2650 |
+
task: mmlu_clinical_knowledge
|
2651 |
+
task_alias: clinical_knowledge
|
2652 |
+
group: mmlu_other
|
2653 |
+
group_alias: other
|
2654 |
+
dataset_path: hails/mmlu_no_train
|
2655 |
+
dataset_name: clinical_knowledge
|
2656 |
+
test_split: test
|
2657 |
+
fewshot_split: dev
|
2658 |
+
doc_to_text: '{{question.strip()}}
|
2659 |
+
|
2660 |
+
A. {{choices[0]}}
|
2661 |
+
|
2662 |
+
B. {{choices[1]}}
|
2663 |
+
|
2664 |
+
C. {{choices[2]}}
|
2665 |
+
|
2666 |
+
D. {{choices[3]}}
|
2667 |
+
|
2668 |
+
Answer:'
|
2669 |
+
doc_to_target: answer
|
2670 |
+
doc_to_choice:
|
2671 |
+
- A
|
2672 |
+
- B
|
2673 |
+
- C
|
2674 |
+
- D
|
2675 |
+
description: 'The following are multiple choice questions (with answers)
|
2676 |
+
about clinical knowledge.
|
2677 |
+
|
2678 |
+
|
2679 |
+
'
|
2680 |
+
target_delimiter: ' '
|
2681 |
+
fewshot_delimiter: '
|
2682 |
+
|
2683 |
+
|
2684 |
+
'
|
2685 |
+
fewshot_config:
|
2686 |
+
sampler: first_n
|
2687 |
+
metric_list:
|
2688 |
+
- metric: acc
|
2689 |
+
aggregation: mean
|
2690 |
+
higher_is_better: true
|
2691 |
+
output_type: multiple_choice
|
2692 |
+
repeats: 1
|
2693 |
+
should_decontaminate: false
|
2694 |
+
metadata:
|
2695 |
+
version: 0.0
|
2696 |
+
mmlu_college_biology:
|
2697 |
+
task: mmlu_college_biology
|
2698 |
+
task_alias: college_biology
|
2699 |
+
group: mmlu_stem
|
2700 |
+
group_alias: stem
|
2701 |
+
dataset_path: hails/mmlu_no_train
|
2702 |
+
dataset_name: college_biology
|
2703 |
+
test_split: test
|
2704 |
+
fewshot_split: dev
|
2705 |
+
doc_to_text: '{{question.strip()}}
|
2706 |
+
|
2707 |
+
A. {{choices[0]}}
|
2708 |
+
|
2709 |
+
B. {{choices[1]}}
|
2710 |
+
|
2711 |
+
C. {{choices[2]}}
|
2712 |
+
|
2713 |
+
D. {{choices[3]}}
|
2714 |
+
|
2715 |
+
Answer:'
|
2716 |
+
doc_to_target: answer
|
2717 |
+
doc_to_choice:
|
2718 |
+
- A
|
2719 |
+
- B
|
2720 |
+
- C
|
2721 |
+
- D
|
2722 |
+
description: 'The following are multiple choice questions (with answers)
|
2723 |
+
about college biology.
|
2724 |
+
|
2725 |
+
|
2726 |
+
'
|
2727 |
+
target_delimiter: ' '
|
2728 |
+
fewshot_delimiter: '
|
2729 |
+
|
2730 |
+
|
2731 |
+
'
|
2732 |
+
fewshot_config:
|
2733 |
+
sampler: first_n
|
2734 |
+
metric_list:
|
2735 |
+
- metric: acc
|
2736 |
+
aggregation: mean
|
2737 |
+
higher_is_better: true
|
2738 |
+
output_type: multiple_choice
|
2739 |
+
repeats: 1
|
2740 |
+
should_decontaminate: false
|
2741 |
+
metadata:
|
2742 |
+
version: 0.0
|
2743 |
+
mmlu_college_chemistry:
|
2744 |
+
task: mmlu_college_chemistry
|
2745 |
+
task_alias: college_chemistry
|
2746 |
+
group: mmlu_stem
|
2747 |
+
group_alias: stem
|
2748 |
+
dataset_path: hails/mmlu_no_train
|
2749 |
+
dataset_name: college_chemistry
|
2750 |
+
test_split: test
|
2751 |
+
fewshot_split: dev
|
2752 |
+
doc_to_text: '{{question.strip()}}
|
2753 |
+
|
2754 |
+
A. {{choices[0]}}
|
2755 |
+
|
2756 |
+
B. {{choices[1]}}
|
2757 |
+
|
2758 |
+
C. {{choices[2]}}
|
2759 |
+
|
2760 |
+
D. {{choices[3]}}
|
2761 |
+
|
2762 |
+
Answer:'
|
2763 |
+
doc_to_target: answer
|
2764 |
+
doc_to_choice:
|
2765 |
+
- A
|
2766 |
+
- B
|
2767 |
+
- C
|
2768 |
+
- D
|
2769 |
+
description: 'The following are multiple choice questions (with answers)
|
2770 |
+
about college chemistry.
|
2771 |
+
|
2772 |
+
|
2773 |
+
'
|
2774 |
+
target_delimiter: ' '
|
2775 |
+
fewshot_delimiter: '
|
2776 |
+
|
2777 |
+
|
2778 |
+
'
|
2779 |
+
fewshot_config:
|
2780 |
+
sampler: first_n
|
2781 |
+
metric_list:
|
2782 |
+
- metric: acc
|
2783 |
+
aggregation: mean
|
2784 |
+
higher_is_better: true
|
2785 |
+
output_type: multiple_choice
|
2786 |
+
repeats: 1
|
2787 |
+
should_decontaminate: false
|
2788 |
+
metadata:
|
2789 |
+
version: 0.0
|
2790 |
+
mmlu_college_computer_science:
|
2791 |
+
task: mmlu_college_computer_science
|
2792 |
+
task_alias: college_computer_science
|
2793 |
+
group: mmlu_stem
|
2794 |
+
group_alias: stem
|
2795 |
+
dataset_path: hails/mmlu_no_train
|
2796 |
+
dataset_name: college_computer_science
|
2797 |
+
test_split: test
|
2798 |
+
fewshot_split: dev
|
2799 |
+
doc_to_text: '{{question.strip()}}
|
2800 |
+
|
2801 |
+
A. {{choices[0]}}
|
2802 |
+
|
2803 |
+
B. {{choices[1]}}
|
2804 |
+
|
2805 |
+
C. {{choices[2]}}
|
2806 |
+
|
2807 |
+
D. {{choices[3]}}
|
2808 |
+
|
2809 |
+
Answer:'
|
2810 |
+
doc_to_target: answer
|
2811 |
+
doc_to_choice:
|
2812 |
+
- A
|
2813 |
+
- B
|
2814 |
+
- C
|
2815 |
+
- D
|
2816 |
+
description: 'The following are multiple choice questions (with answers)
|
2817 |
+
about college computer science.
|
2818 |
+
|
2819 |
+
|
2820 |
+
'
|
2821 |
+
target_delimiter: ' '
|
2822 |
+
fewshot_delimiter: '
|
2823 |
+
|
2824 |
+
|
2825 |
+
'
|
2826 |
+
fewshot_config:
|
2827 |
+
sampler: first_n
|
2828 |
+
metric_list:
|
2829 |
+
- metric: acc
|
2830 |
+
aggregation: mean
|
2831 |
+
higher_is_better: true
|
2832 |
+
output_type: multiple_choice
|
2833 |
+
repeats: 1
|
2834 |
+
should_decontaminate: false
|
2835 |
+
metadata:
|
2836 |
+
version: 0.0
|
2837 |
+
mmlu_college_mathematics:
|
2838 |
+
task: mmlu_college_mathematics
|
2839 |
+
task_alias: college_mathematics
|
2840 |
+
group: mmlu_stem
|
2841 |
+
group_alias: stem
|
2842 |
+
dataset_path: hails/mmlu_no_train
|
2843 |
+
dataset_name: college_mathematics
|
2844 |
+
test_split: test
|
2845 |
+
fewshot_split: dev
|
2846 |
+
doc_to_text: '{{question.strip()}}
|
2847 |
+
|
2848 |
+
A. {{choices[0]}}
|
2849 |
+
|
2850 |
+
B. {{choices[1]}}
|
2851 |
+
|
2852 |
+
C. {{choices[2]}}
|
2853 |
+
|
2854 |
+
D. {{choices[3]}}
|
2855 |
+
|
2856 |
+
Answer:'
|
2857 |
+
doc_to_target: answer
|
2858 |
+
doc_to_choice:
|
2859 |
+
- A
|
2860 |
+
- B
|
2861 |
+
- C
|
2862 |
+
- D
|
2863 |
+
description: 'The following are multiple choice questions (with answers)
|
2864 |
+
about college mathematics.
|
2865 |
+
|
2866 |
+
|
2867 |
+
'
|
2868 |
+
target_delimiter: ' '
|
2869 |
+
fewshot_delimiter: '
|
2870 |
+
|
2871 |
+
|
2872 |
+
'
|
2873 |
+
fewshot_config:
|
2874 |
+
sampler: first_n
|
2875 |
+
metric_list:
|
2876 |
+
- metric: acc
|
2877 |
+
aggregation: mean
|
2878 |
+
higher_is_better: true
|
2879 |
+
output_type: multiple_choice
|
2880 |
+
repeats: 1
|
2881 |
+
should_decontaminate: false
|
2882 |
+
metadata:
|
2883 |
+
version: 0.0
|
2884 |
+
mmlu_college_medicine:
|
2885 |
+
task: mmlu_college_medicine
|
2886 |
+
task_alias: college_medicine
|
2887 |
+
group: mmlu_other
|
2888 |
+
group_alias: other
|
2889 |
+
dataset_path: hails/mmlu_no_train
|
2890 |
+
dataset_name: college_medicine
|
2891 |
+
test_split: test
|
2892 |
+
fewshot_split: dev
|
2893 |
+
doc_to_text: '{{question.strip()}}
|
2894 |
+
|
2895 |
+
A. {{choices[0]}}
|
2896 |
+
|
2897 |
+
B. {{choices[1]}}
|
2898 |
+
|
2899 |
+
C. {{choices[2]}}
|
2900 |
+
|
2901 |
+
D. {{choices[3]}}
|
2902 |
+
|
2903 |
+
Answer:'
|
2904 |
+
doc_to_target: answer
|
2905 |
+
doc_to_choice:
|
2906 |
+
- A
|
2907 |
+
- B
|
2908 |
+
- C
|
2909 |
+
- D
|
2910 |
+
description: 'The following are multiple choice questions (with answers)
|
2911 |
+
about college medicine.
|
2912 |
+
|
2913 |
+
|
2914 |
+
'
|
2915 |
+
target_delimiter: ' '
|
2916 |
+
fewshot_delimiter: '
|
2917 |
+
|
2918 |
+
|
2919 |
+
'
|
2920 |
+
fewshot_config:
|
2921 |
+
sampler: first_n
|
2922 |
+
metric_list:
|
2923 |
+
- metric: acc
|
2924 |
+
aggregation: mean
|
2925 |
+
higher_is_better: true
|
2926 |
+
output_type: multiple_choice
|
2927 |
+
repeats: 1
|
2928 |
+
should_decontaminate: false
|
2929 |
+
metadata:
|
2930 |
+
version: 0.0
|
2931 |
+
mmlu_college_physics:
|
2932 |
+
task: mmlu_college_physics
|
2933 |
+
task_alias: college_physics
|
2934 |
+
group: mmlu_stem
|
2935 |
+
group_alias: stem
|
2936 |
+
dataset_path: hails/mmlu_no_train
|
2937 |
+
dataset_name: college_physics
|
2938 |
+
test_split: test
|
2939 |
+
fewshot_split: dev
|
2940 |
+
doc_to_text: '{{question.strip()}}
|
2941 |
+
|
2942 |
+
A. {{choices[0]}}
|
2943 |
+
|
2944 |
+
B. {{choices[1]}}
|
2945 |
+
|
2946 |
+
C. {{choices[2]}}
|
2947 |
+
|
2948 |
+
D. {{choices[3]}}
|
2949 |
+
|
2950 |
+
Answer:'
|
2951 |
+
doc_to_target: answer
|
2952 |
+
doc_to_choice:
|
2953 |
+
- A
|
2954 |
+
- B
|
2955 |
+
- C
|
2956 |
+
- D
|
2957 |
+
description: 'The following are multiple choice questions (with answers)
|
2958 |
+
about college physics.
|
2959 |
+
|
2960 |
+
|
2961 |
+
'
|
2962 |
+
target_delimiter: ' '
|
2963 |
+
fewshot_delimiter: '
|
2964 |
+
|
2965 |
+
|
2966 |
+
'
|
2967 |
+
fewshot_config:
|
2968 |
+
sampler: first_n
|
2969 |
+
metric_list:
|
2970 |
+
- metric: acc
|
2971 |
+
aggregation: mean
|
2972 |
+
higher_is_better: true
|
2973 |
+
output_type: multiple_choice
|
2974 |
+
repeats: 1
|
2975 |
+
should_decontaminate: false
|
2976 |
+
metadata:
|
2977 |
+
version: 0.0
|
2978 |
+
mmlu_computer_security:
|
2979 |
+
task: mmlu_computer_security
|
2980 |
+
task_alias: computer_security
|
2981 |
+
group: mmlu_stem
|
2982 |
+
group_alias: stem
|
2983 |
+
dataset_path: hails/mmlu_no_train
|
2984 |
+
dataset_name: computer_security
|
2985 |
+
test_split: test
|
2986 |
+
fewshot_split: dev
|
2987 |
+
doc_to_text: '{{question.strip()}}
|
2988 |
+
|
2989 |
+
A. {{choices[0]}}
|
2990 |
+
|
2991 |
+
B. {{choices[1]}}
|
2992 |
+
|
2993 |
+
C. {{choices[2]}}
|
2994 |
+
|
2995 |
+
D. {{choices[3]}}
|
2996 |
+
|
2997 |
+
Answer:'
|
2998 |
+
doc_to_target: answer
|
2999 |
+
doc_to_choice:
|
3000 |
+
- A
|
3001 |
+
- B
|
3002 |
+
- C
|
3003 |
+
- D
|
3004 |
+
description: 'The following are multiple choice questions (with answers)
|
3005 |
+
about computer security.
|
3006 |
+
|
3007 |
+
|
3008 |
+
'
|
3009 |
+
target_delimiter: ' '
|
3010 |
+
fewshot_delimiter: '
|
3011 |
+
|
3012 |
+
|
3013 |
+
'
|
3014 |
+
fewshot_config:
|
3015 |
+
sampler: first_n
|
3016 |
+
metric_list:
|
3017 |
+
- metric: acc
|
3018 |
+
aggregation: mean
|
3019 |
+
higher_is_better: true
|
3020 |
+
output_type: multiple_choice
|
3021 |
+
repeats: 1
|
3022 |
+
should_decontaminate: false
|
3023 |
+
metadata:
|
3024 |
+
version: 0.0
|
3025 |
+
mmlu_conceptual_physics:
|
3026 |
+
task: mmlu_conceptual_physics
|
3027 |
+
task_alias: conceptual_physics
|
3028 |
+
group: mmlu_stem
|
3029 |
+
group_alias: stem
|
3030 |
+
dataset_path: hails/mmlu_no_train
|
3031 |
+
dataset_name: conceptual_physics
|
3032 |
+
test_split: test
|
3033 |
+
fewshot_split: dev
|
3034 |
+
doc_to_text: '{{question.strip()}}
|
3035 |
+
|
3036 |
+
A. {{choices[0]}}
|
3037 |
+
|
3038 |
+
B. {{choices[1]}}
|
3039 |
+
|
3040 |
+
C. {{choices[2]}}
|
3041 |
+
|
3042 |
+
D. {{choices[3]}}
|
3043 |
+
|
3044 |
+
Answer:'
|
3045 |
+
doc_to_target: answer
|
3046 |
+
doc_to_choice:
|
3047 |
+
- A
|
3048 |
+
- B
|
3049 |
+
- C
|
3050 |
+
- D
|
3051 |
+
description: 'The following are multiple choice questions (with answers)
|
3052 |
+
about conceptual physics.
|
3053 |
+
|
3054 |
+
|
3055 |
+
'
|
3056 |
+
target_delimiter: ' '
|
3057 |
+
fewshot_delimiter: '
|
3058 |
+
|
3059 |
+
|
3060 |
+
'
|
3061 |
+
fewshot_config:
|
3062 |
+
sampler: first_n
|
3063 |
+
metric_list:
|
3064 |
+
- metric: acc
|
3065 |
+
aggregation: mean
|
3066 |
+
higher_is_better: true
|
3067 |
+
output_type: multiple_choice
|
3068 |
+
repeats: 1
|
3069 |
+
should_decontaminate: false
|
3070 |
+
metadata:
|
3071 |
+
version: 0.0
|
3072 |
+
mmlu_econometrics:
|
3073 |
+
task: mmlu_econometrics
|
3074 |
+
task_alias: econometrics
|
3075 |
+
group: mmlu_social_sciences
|
3076 |
+
group_alias: social_sciences
|
3077 |
+
dataset_path: hails/mmlu_no_train
|
3078 |
+
dataset_name: econometrics
|
3079 |
+
test_split: test
|
3080 |
+
fewshot_split: dev
|
3081 |
+
doc_to_text: '{{question.strip()}}
|
3082 |
+
|
3083 |
+
A. {{choices[0]}}
|
3084 |
+
|
3085 |
+
B. {{choices[1]}}
|
3086 |
+
|
3087 |
+
C. {{choices[2]}}
|
3088 |
+
|
3089 |
+
D. {{choices[3]}}
|
3090 |
+
|
3091 |
+
Answer:'
|
3092 |
+
doc_to_target: answer
|
3093 |
+
doc_to_choice:
|
3094 |
+
- A
|
3095 |
+
- B
|
3096 |
+
- C
|
3097 |
+
- D
|
3098 |
+
description: 'The following are multiple choice questions (with answers)
|
3099 |
+
about econometrics.
|
3100 |
+
|
3101 |
+
|
3102 |
+
'
|
3103 |
+
target_delimiter: ' '
|
3104 |
+
fewshot_delimiter: '
|
3105 |
+
|
3106 |
+
|
3107 |
+
'
|
3108 |
+
fewshot_config:
|
3109 |
+
sampler: first_n
|
3110 |
+
metric_list:
|
3111 |
+
- metric: acc
|
3112 |
+
aggregation: mean
|
3113 |
+
higher_is_better: true
|
3114 |
+
output_type: multiple_choice
|
3115 |
+
repeats: 1
|
3116 |
+
should_decontaminate: false
|
3117 |
+
metadata:
|
3118 |
+
version: 0.0
|
3119 |
+
mmlu_electrical_engineering:
|
3120 |
+
task: mmlu_electrical_engineering
|
3121 |
+
task_alias: electrical_engineering
|
3122 |
+
group: mmlu_stem
|
3123 |
+
group_alias: stem
|
3124 |
+
dataset_path: hails/mmlu_no_train
|
3125 |
+
dataset_name: electrical_engineering
|
3126 |
+
test_split: test
|
3127 |
+
fewshot_split: dev
|
3128 |
+
doc_to_text: '{{question.strip()}}
|
3129 |
+
|
3130 |
+
A. {{choices[0]}}
|
3131 |
+
|
3132 |
+
B. {{choices[1]}}
|
3133 |
+
|
3134 |
+
C. {{choices[2]}}
|
3135 |
+
|
3136 |
+
D. {{choices[3]}}
|
3137 |
+
|
3138 |
+
Answer:'
|
3139 |
+
doc_to_target: answer
|
3140 |
+
doc_to_choice:
|
3141 |
+
- A
|
3142 |
+
- B
|
3143 |
+
- C
|
3144 |
+
- D
|
3145 |
+
description: 'The following are multiple choice questions (with answers)
|
3146 |
+
about electrical engineering.
|
3147 |
+
|
3148 |
+
|
3149 |
+
'
|
3150 |
+
target_delimiter: ' '
|
3151 |
+
fewshot_delimiter: '
|
3152 |
+
|
3153 |
+
|
3154 |
+
'
|
3155 |
+
fewshot_config:
|
3156 |
+
sampler: first_n
|
3157 |
+
metric_list:
|
3158 |
+
- metric: acc
|
3159 |
+
aggregation: mean
|
3160 |
+
higher_is_better: true
|
3161 |
+
output_type: multiple_choice
|
3162 |
+
repeats: 1
|
3163 |
+
should_decontaminate: false
|
3164 |
+
metadata:
|
3165 |
+
version: 0.0
|
3166 |
+
mmlu_elementary_mathematics:
|
3167 |
+
task: mmlu_elementary_mathematics
|
3168 |
+
task_alias: elementary_mathematics
|
3169 |
+
group: mmlu_stem
|
3170 |
+
group_alias: stem
|
3171 |
+
dataset_path: hails/mmlu_no_train
|
3172 |
+
dataset_name: elementary_mathematics
|
3173 |
+
test_split: test
|
3174 |
+
fewshot_split: dev
|
3175 |
+
doc_to_text: '{{question.strip()}}
|
3176 |
+
|
3177 |
+
A. {{choices[0]}}
|
3178 |
+
|
3179 |
+
B. {{choices[1]}}
|
3180 |
+
|
3181 |
+
C. {{choices[2]}}
|
3182 |
+
|
3183 |
+
D. {{choices[3]}}
|
3184 |
+
|
3185 |
+
Answer:'
|
3186 |
+
doc_to_target: answer
|
3187 |
+
doc_to_choice:
|
3188 |
+
- A
|
3189 |
+
- B
|
3190 |
+
- C
|
3191 |
+
- D
|
3192 |
+
description: 'The following are multiple choice questions (with answers)
|
3193 |
+
about elementary mathematics.
|
3194 |
+
|
3195 |
+
|
3196 |
+
'
|
3197 |
+
target_delimiter: ' '
|
3198 |
+
fewshot_delimiter: '
|
3199 |
+
|
3200 |
+
|
3201 |
+
'
|
3202 |
+
fewshot_config:
|
3203 |
+
sampler: first_n
|
3204 |
+
metric_list:
|
3205 |
+
- metric: acc
|
3206 |
+
aggregation: mean
|
3207 |
+
higher_is_better: true
|
3208 |
+
output_type: multiple_choice
|
3209 |
+
repeats: 1
|
3210 |
+
should_decontaminate: false
|
3211 |
+
metadata:
|
3212 |
+
version: 0.0
|
3213 |
+
mmlu_formal_logic:
|
3214 |
+
task: mmlu_formal_logic
|
3215 |
+
task_alias: formal_logic
|
3216 |
+
group: mmlu_humanities
|
3217 |
+
group_alias: humanities
|
3218 |
+
dataset_path: hails/mmlu_no_train
|
3219 |
+
dataset_name: formal_logic
|
3220 |
+
test_split: test
|
3221 |
+
fewshot_split: dev
|
3222 |
+
doc_to_text: '{{question.strip()}}
|
3223 |
+
|
3224 |
+
A. {{choices[0]}}
|
3225 |
+
|
3226 |
+
B. {{choices[1]}}
|
3227 |
+
|
3228 |
+
C. {{choices[2]}}
|
3229 |
+
|
3230 |
+
D. {{choices[3]}}
|
3231 |
+
|
3232 |
+
Answer:'
|
3233 |
+
doc_to_target: answer
|
3234 |
+
doc_to_choice:
|
3235 |
+
- A
|
3236 |
+
- B
|
3237 |
+
- C
|
3238 |
+
- D
|
3239 |
+
description: 'The following are multiple choice questions (with answers)
|
3240 |
+
about formal logic.
|
3241 |
+
|
3242 |
+
|
3243 |
+
'
|
3244 |
+
target_delimiter: ' '
|
3245 |
+
fewshot_delimiter: '
|
3246 |
+
|
3247 |
+
|
3248 |
+
'
|
3249 |
+
fewshot_config:
|
3250 |
+
sampler: first_n
|
3251 |
+
metric_list:
|
3252 |
+
- metric: acc
|
3253 |
+
aggregation: mean
|
3254 |
+
higher_is_better: true
|
3255 |
+
output_type: multiple_choice
|
3256 |
+
repeats: 1
|
3257 |
+
should_decontaminate: false
|
3258 |
+
metadata:
|
3259 |
+
version: 0.0
|
3260 |
+
mmlu_global_facts:
|
3261 |
+
task: mmlu_global_facts
|
3262 |
+
task_alias: global_facts
|
3263 |
+
group: mmlu_other
|
3264 |
+
group_alias: other
|
3265 |
+
dataset_path: hails/mmlu_no_train
|
3266 |
+
dataset_name: global_facts
|
3267 |
+
test_split: test
|
3268 |
+
fewshot_split: dev
|
3269 |
+
doc_to_text: '{{question.strip()}}
|
3270 |
+
|
3271 |
+
A. {{choices[0]}}
|
3272 |
+
|
3273 |
+
B. {{choices[1]}}
|
3274 |
+
|
3275 |
+
C. {{choices[2]}}
|
3276 |
+
|
3277 |
+
D. {{choices[3]}}
|
3278 |
+
|
3279 |
+
Answer:'
|
3280 |
+
doc_to_target: answer
|
3281 |
+
doc_to_choice:
|
3282 |
+
- A
|
3283 |
+
- B
|
3284 |
+
- C
|
3285 |
+
- D
|
3286 |
+
description: 'The following are multiple choice questions (with answers)
|
3287 |
+
about global facts.
|
3288 |
+
|
3289 |
+
|
3290 |
+
'
|
3291 |
+
target_delimiter: ' '
|
3292 |
+
fewshot_delimiter: '
|
3293 |
+
|
3294 |
+
|
3295 |
+
'
|
3296 |
+
fewshot_config:
|
3297 |
+
sampler: first_n
|
3298 |
+
metric_list:
|
3299 |
+
- metric: acc
|
3300 |
+
aggregation: mean
|
3301 |
+
higher_is_better: true
|
3302 |
+
output_type: multiple_choice
|
3303 |
+
repeats: 1
|
3304 |
+
should_decontaminate: false
|
3305 |
+
metadata:
|
3306 |
+
version: 0.0
|
3307 |
+
mmlu_high_school_biology:
|
3308 |
+
task: mmlu_high_school_biology
|
3309 |
+
task_alias: high_school_biology
|
3310 |
+
group: mmlu_stem
|
3311 |
+
group_alias: stem
|
3312 |
+
dataset_path: hails/mmlu_no_train
|
3313 |
+
dataset_name: high_school_biology
|
3314 |
+
test_split: test
|
3315 |
+
fewshot_split: dev
|
3316 |
+
doc_to_text: '{{question.strip()}}
|
3317 |
+
|
3318 |
+
A. {{choices[0]}}
|
3319 |
+
|
3320 |
+
B. {{choices[1]}}
|
3321 |
+
|
3322 |
+
C. {{choices[2]}}
|
3323 |
+
|
3324 |
+
D. {{choices[3]}}
|
3325 |
+
|
3326 |
+
Answer:'
|
3327 |
+
doc_to_target: answer
|
3328 |
+
doc_to_choice:
|
3329 |
+
- A
|
3330 |
+
- B
|
3331 |
+
- C
|
3332 |
+
- D
|
3333 |
+
description: 'The following are multiple choice questions (with answers)
|
3334 |
+
about high school biology.
|
3335 |
+
|
3336 |
+
|
3337 |
+
'
|
3338 |
+
target_delimiter: ' '
|
3339 |
+
fewshot_delimiter: '
|
3340 |
+
|
3341 |
+
|
3342 |
+
'
|
3343 |
+
fewshot_config:
|
3344 |
+
sampler: first_n
|
3345 |
+
metric_list:
|
3346 |
+
- metric: acc
|
3347 |
+
aggregation: mean
|
3348 |
+
higher_is_better: true
|
3349 |
+
output_type: multiple_choice
|
3350 |
+
repeats: 1
|
3351 |
+
should_decontaminate: false
|
3352 |
+
metadata:
|
3353 |
+
version: 0.0
|
3354 |
+
mmlu_high_school_chemistry:
|
3355 |
+
task: mmlu_high_school_chemistry
|
3356 |
+
task_alias: high_school_chemistry
|
3357 |
+
group: mmlu_stem
|
3358 |
+
group_alias: stem
|
3359 |
+
dataset_path: hails/mmlu_no_train
|
3360 |
+
dataset_name: high_school_chemistry
|
3361 |
+
test_split: test
|
3362 |
+
fewshot_split: dev
|
3363 |
+
doc_to_text: '{{question.strip()}}
|
3364 |
+
|
3365 |
+
A. {{choices[0]}}
|
3366 |
+
|
3367 |
+
B. {{choices[1]}}
|
3368 |
+
|
3369 |
+
C. {{choices[2]}}
|
3370 |
+
|
3371 |
+
D. {{choices[3]}}
|
3372 |
+
|
3373 |
+
Answer:'
|
3374 |
+
doc_to_target: answer
|
3375 |
+
doc_to_choice:
|
3376 |
+
- A
|
3377 |
+
- B
|
3378 |
+
- C
|
3379 |
+
- D
|
3380 |
+
description: 'The following are multiple choice questions (with answers)
|
3381 |
+
about high school chemistry.
|
3382 |
+
|
3383 |
+
|
3384 |
+
'
|
3385 |
+
target_delimiter: ' '
|
3386 |
+
fewshot_delimiter: '
|
3387 |
+
|
3388 |
+
|
3389 |
+
'
|
3390 |
+
fewshot_config:
|
3391 |
+
sampler: first_n
|
3392 |
+
metric_list:
|
3393 |
+
- metric: acc
|
3394 |
+
aggregation: mean
|
3395 |
+
higher_is_better: true
|
3396 |
+
output_type: multiple_choice
|
3397 |
+
repeats: 1
|
3398 |
+
should_decontaminate: false
|
3399 |
+
metadata:
|
3400 |
+
version: 0.0
|
3401 |
+
mmlu_high_school_computer_science:
|
3402 |
+
task: mmlu_high_school_computer_science
|
3403 |
+
task_alias: high_school_computer_science
|
3404 |
+
group: mmlu_stem
|
3405 |
+
group_alias: stem
|
3406 |
+
dataset_path: hails/mmlu_no_train
|
3407 |
+
dataset_name: high_school_computer_science
|
3408 |
+
test_split: test
|
3409 |
+
fewshot_split: dev
|
3410 |
+
doc_to_text: '{{question.strip()}}
|
3411 |
+
|
3412 |
+
A. {{choices[0]}}
|
3413 |
+
|
3414 |
+
B. {{choices[1]}}
|
3415 |
+
|
3416 |
+
C. {{choices[2]}}
|
3417 |
+
|
3418 |
+
D. {{choices[3]}}
|
3419 |
+
|
3420 |
+
Answer:'
|
3421 |
+
doc_to_target: answer
|
3422 |
+
doc_to_choice:
|
3423 |
+
- A
|
3424 |
+
- B
|
3425 |
+
- C
|
3426 |
+
- D
|
3427 |
+
description: 'The following are multiple choice questions (with answers)
|
3428 |
+
about high school computer science.
|
3429 |
+
|
3430 |
+
|
3431 |
+
'
|
3432 |
+
target_delimiter: ' '
|
3433 |
+
fewshot_delimiter: '
|
3434 |
+
|
3435 |
+
|
3436 |
+
'
|
3437 |
+
fewshot_config:
|
3438 |
+
sampler: first_n
|
3439 |
+
metric_list:
|
3440 |
+
- metric: acc
|
3441 |
+
aggregation: mean
|
3442 |
+
higher_is_better: true
|
3443 |
+
output_type: multiple_choice
|
3444 |
+
repeats: 1
|
3445 |
+
should_decontaminate: false
|
3446 |
+
metadata:
|
3447 |
+
version: 0.0
|
3448 |
+
mmlu_high_school_european_history:
|
3449 |
+
task: mmlu_high_school_european_history
|
3450 |
+
task_alias: high_school_european_history
|
3451 |
+
group: mmlu_humanities
|
3452 |
+
group_alias: humanities
|
3453 |
+
dataset_path: hails/mmlu_no_train
|
3454 |
+
dataset_name: high_school_european_history
|
3455 |
+
test_split: test
|
3456 |
+
fewshot_split: dev
|
3457 |
+
doc_to_text: '{{question.strip()}}
|
3458 |
+
|
3459 |
+
A. {{choices[0]}}
|
3460 |
+
|
3461 |
+
B. {{choices[1]}}
|
3462 |
+
|
3463 |
+
C. {{choices[2]}}
|
3464 |
+
|
3465 |
+
D. {{choices[3]}}
|
3466 |
+
|
3467 |
+
Answer:'
|
3468 |
+
doc_to_target: answer
|
3469 |
+
doc_to_choice:
|
3470 |
+
- A
|
3471 |
+
- B
|
3472 |
+
- C
|
3473 |
+
- D
|
3474 |
+
description: 'The following are multiple choice questions (with answers)
|
3475 |
+
about high school european history.
|
3476 |
+
|
3477 |
+
|
3478 |
+
'
|
3479 |
+
target_delimiter: ' '
|
3480 |
+
fewshot_delimiter: '
|
3481 |
+
|
3482 |
+
|
3483 |
+
'
|
3484 |
+
fewshot_config:
|
3485 |
+
sampler: first_n
|
3486 |
+
metric_list:
|
3487 |
+
- metric: acc
|
3488 |
+
aggregation: mean
|
3489 |
+
higher_is_better: true
|
3490 |
+
output_type: multiple_choice
|
3491 |
+
repeats: 1
|
3492 |
+
should_decontaminate: false
|
3493 |
+
metadata:
|
3494 |
+
version: 0.0
|
3495 |
+
mmlu_high_school_geography:
|
3496 |
+
task: mmlu_high_school_geography
|
3497 |
+
task_alias: high_school_geography
|
3498 |
+
group: mmlu_social_sciences
|
3499 |
+
group_alias: social_sciences
|
3500 |
+
dataset_path: hails/mmlu_no_train
|
3501 |
+
dataset_name: high_school_geography
|
3502 |
+
test_split: test
|
3503 |
+
fewshot_split: dev
|
3504 |
+
doc_to_text: '{{question.strip()}}
|
3505 |
+
|
3506 |
+
A. {{choices[0]}}
|
3507 |
+
|
3508 |
+
B. {{choices[1]}}
|
3509 |
+
|
3510 |
+
C. {{choices[2]}}
|
3511 |
+
|
3512 |
+
D. {{choices[3]}}
|
3513 |
+
|
3514 |
+
Answer:'
|
3515 |
+
doc_to_target: answer
|
3516 |
+
doc_to_choice:
|
3517 |
+
- A
|
3518 |
+
- B
|
3519 |
+
- C
|
3520 |
+
- D
|
3521 |
+
description: 'The following are multiple choice questions (with answers)
|
3522 |
+
about high school geography.
|
3523 |
+
|
3524 |
+
|
3525 |
+
'
|
3526 |
+
target_delimiter: ' '
|
3527 |
+
fewshot_delimiter: '
|
3528 |
+
|
3529 |
+
|
3530 |
+
'
|
3531 |
+
fewshot_config:
|
3532 |
+
sampler: first_n
|
3533 |
+
metric_list:
|
3534 |
+
- metric: acc
|
3535 |
+
aggregation: mean
|
3536 |
+
higher_is_better: true
|
3537 |
+
output_type: multiple_choice
|
3538 |
+
repeats: 1
|
3539 |
+
should_decontaminate: false
|
3540 |
+
metadata:
|
3541 |
+
version: 0.0
|
3542 |
+
mmlu_high_school_government_and_politics:
|
3543 |
+
task: mmlu_high_school_government_and_politics
|
3544 |
+
task_alias: high_school_government_and_politics
|
3545 |
+
group: mmlu_social_sciences
|
3546 |
+
group_alias: social_sciences
|
3547 |
+
dataset_path: hails/mmlu_no_train
|
3548 |
+
dataset_name: high_school_government_and_politics
|
3549 |
+
test_split: test
|
3550 |
+
fewshot_split: dev
|
3551 |
+
doc_to_text: '{{question.strip()}}
|
3552 |
+
|
3553 |
+
A. {{choices[0]}}
|
3554 |
+
|
3555 |
+
B. {{choices[1]}}
|
3556 |
+
|
3557 |
+
C. {{choices[2]}}
|
3558 |
+
|
3559 |
+
D. {{choices[3]}}
|
3560 |
+
|
3561 |
+
Answer:'
|
3562 |
+
doc_to_target: answer
|
3563 |
+
doc_to_choice:
|
3564 |
+
- A
|
3565 |
+
- B
|
3566 |
+
- C
|
3567 |
+
- D
|
3568 |
+
description: 'The following are multiple choice questions (with answers)
|
3569 |
+
about high school government and politics.
|
3570 |
+
|
3571 |
+
|
3572 |
+
'
|
3573 |
+
target_delimiter: ' '
|
3574 |
+
fewshot_delimiter: '
|
3575 |
+
|
3576 |
+
|
3577 |
+
'
|
3578 |
+
fewshot_config:
|
3579 |
+
sampler: first_n
|
3580 |
+
metric_list:
|
3581 |
+
- metric: acc
|
3582 |
+
aggregation: mean
|
3583 |
+
higher_is_better: true
|
3584 |
+
output_type: multiple_choice
|
3585 |
+
repeats: 1
|
3586 |
+
should_decontaminate: false
|
3587 |
+
metadata:
|
3588 |
+
version: 0.0
|
3589 |
+
mmlu_high_school_macroeconomics:
|
3590 |
+
task: mmlu_high_school_macroeconomics
|
3591 |
+
task_alias: high_school_macroeconomics
|
3592 |
+
group: mmlu_social_sciences
|
3593 |
+
group_alias: social_sciences
|
3594 |
+
dataset_path: hails/mmlu_no_train
|
3595 |
+
dataset_name: high_school_macroeconomics
|
3596 |
+
test_split: test
|
3597 |
+
fewshot_split: dev
|
3598 |
+
doc_to_text: '{{question.strip()}}
|
3599 |
+
|
3600 |
+
A. {{choices[0]}}
|
3601 |
+
|
3602 |
+
B. {{choices[1]}}
|
3603 |
+
|
3604 |
+
C. {{choices[2]}}
|
3605 |
+
|
3606 |
+
D. {{choices[3]}}
|
3607 |
+
|
3608 |
+
Answer:'
|
3609 |
+
doc_to_target: answer
|
3610 |
+
doc_to_choice:
|
3611 |
+
- A
|
3612 |
+
- B
|
3613 |
+
- C
|
3614 |
+
- D
|
3615 |
+
description: 'The following are multiple choice questions (with answers)
|
3616 |
+
about high school macroeconomics.
|
3617 |
+
|
3618 |
+
|
3619 |
+
'
|
3620 |
+
target_delimiter: ' '
|
3621 |
+
fewshot_delimiter: '
|
3622 |
+
|
3623 |
+
|
3624 |
+
'
|
3625 |
+
fewshot_config:
|
3626 |
+
sampler: first_n
|
3627 |
+
metric_list:
|
3628 |
+
- metric: acc
|
3629 |
+
aggregation: mean
|
3630 |
+
higher_is_better: true
|
3631 |
+
output_type: multiple_choice
|
3632 |
+
repeats: 1
|
3633 |
+
should_decontaminate: false
|
3634 |
+
metadata:
|
3635 |
+
version: 0.0
|
3636 |
+
mmlu_high_school_mathematics:
|
3637 |
+
task: mmlu_high_school_mathematics
|
3638 |
+
task_alias: high_school_mathematics
|
3639 |
+
group: mmlu_stem
|
3640 |
+
group_alias: stem
|
3641 |
+
dataset_path: hails/mmlu_no_train
|
3642 |
+
dataset_name: high_school_mathematics
|
3643 |
+
test_split: test
|
3644 |
+
fewshot_split: dev
|
3645 |
+
doc_to_text: '{{question.strip()}}
|
3646 |
+
|
3647 |
+
A. {{choices[0]}}
|
3648 |
+
|
3649 |
+
B. {{choices[1]}}
|
3650 |
+
|
3651 |
+
C. {{choices[2]}}
|
3652 |
+
|
3653 |
+
D. {{choices[3]}}
|
3654 |
+
|
3655 |
+
Answer:'
|
3656 |
+
doc_to_target: answer
|
3657 |
+
doc_to_choice:
|
3658 |
+
- A
|
3659 |
+
- B
|
3660 |
+
- C
|
3661 |
+
- D
|
3662 |
+
description: 'The following are multiple choice questions (with answers)
|
3663 |
+
about high school mathematics.
|
3664 |
+
|
3665 |
+
|
3666 |
+
'
|
3667 |
+
target_delimiter: ' '
|
3668 |
+
fewshot_delimiter: '
|
3669 |
+
|
3670 |
+
|
3671 |
+
'
|
3672 |
+
fewshot_config:
|
3673 |
+
sampler: first_n
|
3674 |
+
metric_list:
|
3675 |
+
- metric: acc
|
3676 |
+
aggregation: mean
|
3677 |
+
higher_is_better: true
|
3678 |
+
output_type: multiple_choice
|
3679 |
+
repeats: 1
|
3680 |
+
should_decontaminate: false
|
3681 |
+
metadata:
|
3682 |
+
version: 0.0
|
3683 |
+
mmlu_high_school_microeconomics:
|
3684 |
+
task: mmlu_high_school_microeconomics
|
3685 |
+
task_alias: high_school_microeconomics
|
3686 |
+
group: mmlu_social_sciences
|
3687 |
+
group_alias: social_sciences
|
3688 |
+
dataset_path: hails/mmlu_no_train
|
3689 |
+
dataset_name: high_school_microeconomics
|
3690 |
+
test_split: test
|
3691 |
+
fewshot_split: dev
|
3692 |
+
doc_to_text: '{{question.strip()}}
|
3693 |
+
|
3694 |
+
A. {{choices[0]}}
|
3695 |
+
|
3696 |
+
B. {{choices[1]}}
|
3697 |
+
|
3698 |
+
C. {{choices[2]}}
|
3699 |
+
|
3700 |
+
D. {{choices[3]}}
|
3701 |
+
|
3702 |
+
Answer:'
|
3703 |
+
doc_to_target: answer
|
3704 |
+
doc_to_choice:
|
3705 |
+
- A
|
3706 |
+
- B
|
3707 |
+
- C
|
3708 |
+
- D
|
3709 |
+
description: 'The following are multiple choice questions (with answers)
|
3710 |
+
about high school microeconomics.
|
3711 |
+
|
3712 |
+
|
3713 |
+
'
|
3714 |
+
target_delimiter: ' '
|
3715 |
+
fewshot_delimiter: '
|
3716 |
+
|
3717 |
+
|
3718 |
+
'
|
3719 |
+
fewshot_config:
|
3720 |
+
sampler: first_n
|
3721 |
+
metric_list:
|
3722 |
+
- metric: acc
|
3723 |
+
aggregation: mean
|
3724 |
+
higher_is_better: true
|
3725 |
+
output_type: multiple_choice
|
3726 |
+
repeats: 1
|
3727 |
+
should_decontaminate: false
|
3728 |
+
metadata:
|
3729 |
+
version: 0.0
|
3730 |
+
mmlu_high_school_physics:
|
3731 |
+
task: mmlu_high_school_physics
|
3732 |
+
task_alias: high_school_physics
|
3733 |
+
group: mmlu_stem
|
3734 |
+
group_alias: stem
|
3735 |
+
dataset_path: hails/mmlu_no_train
|
3736 |
+
dataset_name: high_school_physics
|
3737 |
+
test_split: test
|
3738 |
+
fewshot_split: dev
|
3739 |
+
doc_to_text: '{{question.strip()}}
|
3740 |
+
|
3741 |
+
A. {{choices[0]}}
|
3742 |
+
|
3743 |
+
B. {{choices[1]}}
|
3744 |
+
|
3745 |
+
C. {{choices[2]}}
|
3746 |
+
|
3747 |
+
D. {{choices[3]}}
|
3748 |
+
|
3749 |
+
Answer:'
|
3750 |
+
doc_to_target: answer
|
3751 |
+
doc_to_choice:
|
3752 |
+
- A
|
3753 |
+
- B
|
3754 |
+
- C
|
3755 |
+
- D
|
3756 |
+
description: 'The following are multiple choice questions (with answers)
|
3757 |
+
about high school physics.
|
3758 |
+
|
3759 |
+
|
3760 |
+
'
|
3761 |
+
target_delimiter: ' '
|
3762 |
+
fewshot_delimiter: '
|
3763 |
+
|
3764 |
+
|
3765 |
+
'
|
3766 |
+
fewshot_config:
|
3767 |
+
sampler: first_n
|
3768 |
+
metric_list:
|
3769 |
+
- metric: acc
|
3770 |
+
aggregation: mean
|
3771 |
+
higher_is_better: true
|
3772 |
+
output_type: multiple_choice
|
3773 |
+
repeats: 1
|
3774 |
+
should_decontaminate: false
|
3775 |
+
metadata:
|
3776 |
+
version: 0.0
|
3777 |
+
mmlu_high_school_psychology:
|
3778 |
+
task: mmlu_high_school_psychology
|
3779 |
+
task_alias: high_school_psychology
|
3780 |
+
group: mmlu_social_sciences
|
3781 |
+
group_alias: social_sciences
|
3782 |
+
dataset_path: hails/mmlu_no_train
|
3783 |
+
dataset_name: high_school_psychology
|
3784 |
+
test_split: test
|
3785 |
+
fewshot_split: dev
|
3786 |
+
doc_to_text: '{{question.strip()}}
|
3787 |
+
|
3788 |
+
A. {{choices[0]}}
|
3789 |
+
|
3790 |
+
B. {{choices[1]}}
|
3791 |
+
|
3792 |
+
C. {{choices[2]}}
|
3793 |
+
|
3794 |
+
D. {{choices[3]}}
|
3795 |
+
|
3796 |
+
Answer:'
|
3797 |
+
doc_to_target: answer
|
3798 |
+
doc_to_choice:
|
3799 |
+
- A
|
3800 |
+
- B
|
3801 |
+
- C
|
3802 |
+
- D
|
3803 |
+
description: 'The following are multiple choice questions (with answers)
|
3804 |
+
about high school psychology.
|
3805 |
+
|
3806 |
+
|
3807 |
+
'
|
3808 |
+
target_delimiter: ' '
|
3809 |
+
fewshot_delimiter: '
|
3810 |
+
|
3811 |
+
|
3812 |
+
'
|
3813 |
+
fewshot_config:
|
3814 |
+
sampler: first_n
|
3815 |
+
metric_list:
|
3816 |
+
- metric: acc
|
3817 |
+
aggregation: mean
|
3818 |
+
higher_is_better: true
|
3819 |
+
output_type: multiple_choice
|
3820 |
+
repeats: 1
|
3821 |
+
should_decontaminate: false
|
3822 |
+
metadata:
|
3823 |
+
version: 0.0
|
3824 |
+
mmlu_high_school_statistics:
|
3825 |
+
task: mmlu_high_school_statistics
|
3826 |
+
task_alias: high_school_statistics
|
3827 |
+
group: mmlu_stem
|
3828 |
+
group_alias: stem
|
3829 |
+
dataset_path: hails/mmlu_no_train
|
3830 |
+
dataset_name: high_school_statistics
|
3831 |
+
test_split: test
|
3832 |
+
fewshot_split: dev
|
3833 |
+
doc_to_text: '{{question.strip()}}
|
3834 |
+
|
3835 |
+
A. {{choices[0]}}
|
3836 |
+
|
3837 |
+
B. {{choices[1]}}
|
3838 |
+
|
3839 |
+
C. {{choices[2]}}
|
3840 |
+
|
3841 |
+
D. {{choices[3]}}
|
3842 |
+
|
3843 |
+
Answer:'
|
3844 |
+
doc_to_target: answer
|
3845 |
+
doc_to_choice:
|
3846 |
+
- A
|
3847 |
+
- B
|
3848 |
+
- C
|
3849 |
+
- D
|
3850 |
+
description: 'The following are multiple choice questions (with answers)
|
3851 |
+
about high school statistics.
|
3852 |
+
|
3853 |
+
|
3854 |
+
'
|
3855 |
+
target_delimiter: ' '
|
3856 |
+
fewshot_delimiter: '
|
3857 |
+
|
3858 |
+
|
3859 |
+
'
|
3860 |
+
fewshot_config:
|
3861 |
+
sampler: first_n
|
3862 |
+
metric_list:
|
3863 |
+
- metric: acc
|
3864 |
+
aggregation: mean
|
3865 |
+
higher_is_better: true
|
3866 |
+
output_type: multiple_choice
|
3867 |
+
repeats: 1
|
3868 |
+
should_decontaminate: false
|
3869 |
+
metadata:
|
3870 |
+
version: 0.0
|
3871 |
+
mmlu_high_school_us_history:
|
3872 |
+
task: mmlu_high_school_us_history
|
3873 |
+
task_alias: high_school_us_history
|
3874 |
+
group: mmlu_humanities
|
3875 |
+
group_alias: humanities
|
3876 |
+
dataset_path: hails/mmlu_no_train
|
3877 |
+
dataset_name: high_school_us_history
|
3878 |
+
test_split: test
|
3879 |
+
fewshot_split: dev
|
3880 |
+
doc_to_text: '{{question.strip()}}
|
3881 |
+
|
3882 |
+
A. {{choices[0]}}
|
3883 |
+
|
3884 |
+
B. {{choices[1]}}
|
3885 |
+
|
3886 |
+
C. {{choices[2]}}
|
3887 |
+
|
3888 |
+
D. {{choices[3]}}
|
3889 |
+
|
3890 |
+
Answer:'
|
3891 |
+
doc_to_target: answer
|
3892 |
+
doc_to_choice:
|
3893 |
+
- A
|
3894 |
+
- B
|
3895 |
+
- C
|
3896 |
+
- D
|
3897 |
+
description: 'The following are multiple choice questions (with answers)
|
3898 |
+
about high school us history.
|
3899 |
+
|
3900 |
+
|
3901 |
+
'
|
3902 |
+
target_delimiter: ' '
|
3903 |
+
fewshot_delimiter: '
|
3904 |
+
|
3905 |
+
|
3906 |
+
'
|
3907 |
+
fewshot_config:
|
3908 |
+
sampler: first_n
|
3909 |
+
metric_list:
|
3910 |
+
- metric: acc
|
3911 |
+
aggregation: mean
|
3912 |
+
higher_is_better: true
|
3913 |
+
output_type: multiple_choice
|
3914 |
+
repeats: 1
|
3915 |
+
should_decontaminate: false
|
3916 |
+
metadata:
|
3917 |
+
version: 0.0
|
3918 |
+
mmlu_high_school_world_history:
|
3919 |
+
task: mmlu_high_school_world_history
|
3920 |
+
task_alias: high_school_world_history
|
3921 |
+
group: mmlu_humanities
|
3922 |
+
group_alias: humanities
|
3923 |
+
dataset_path: hails/mmlu_no_train
|
3924 |
+
dataset_name: high_school_world_history
|
3925 |
+
test_split: test
|
3926 |
+
fewshot_split: dev
|
3927 |
+
doc_to_text: '{{question.strip()}}
|
3928 |
+
|
3929 |
+
A. {{choices[0]}}
|
3930 |
+
|
3931 |
+
B. {{choices[1]}}
|
3932 |
+
|
3933 |
+
C. {{choices[2]}}
|
3934 |
+
|
3935 |
+
D. {{choices[3]}}
|
3936 |
+
|
3937 |
+
Answer:'
|
3938 |
+
doc_to_target: answer
|
3939 |
+
doc_to_choice:
|
3940 |
+
- A
|
3941 |
+
- B
|
3942 |
+
- C
|
3943 |
+
- D
|
3944 |
+
description: 'The following are multiple choice questions (with answers)
|
3945 |
+
about high school world history.
|
3946 |
+
|
3947 |
+
|
3948 |
+
'
|
3949 |
+
target_delimiter: ' '
|
3950 |
+
fewshot_delimiter: '
|
3951 |
+
|
3952 |
+
|
3953 |
+
'
|
3954 |
+
fewshot_config:
|
3955 |
+
sampler: first_n
|
3956 |
+
metric_list:
|
3957 |
+
- metric: acc
|
3958 |
+
aggregation: mean
|
3959 |
+
higher_is_better: true
|
3960 |
+
output_type: multiple_choice
|
3961 |
+
repeats: 1
|
3962 |
+
should_decontaminate: false
|
3963 |
+
metadata:
|
3964 |
+
version: 0.0
|
3965 |
+
mmlu_human_aging:
|
3966 |
+
task: mmlu_human_aging
|
3967 |
+
task_alias: human_aging
|
3968 |
+
group: mmlu_other
|
3969 |
+
group_alias: other
|
3970 |
+
dataset_path: hails/mmlu_no_train
|
3971 |
+
dataset_name: human_aging
|
3972 |
+
test_split: test
|
3973 |
+
fewshot_split: dev
|
3974 |
+
doc_to_text: '{{question.strip()}}
|
3975 |
+
|
3976 |
+
A. {{choices[0]}}
|
3977 |
+
|
3978 |
+
B. {{choices[1]}}
|
3979 |
+
|
3980 |
+
C. {{choices[2]}}
|
3981 |
+
|
3982 |
+
D. {{choices[3]}}
|
3983 |
+
|
3984 |
+
Answer:'
|
3985 |
+
doc_to_target: answer
|
3986 |
+
doc_to_choice:
|
3987 |
+
- A
|
3988 |
+
- B
|
3989 |
+
- C
|
3990 |
+
- D
|
3991 |
+
description: 'The following are multiple choice questions (with answers)
|
3992 |
+
about human aging.
|
3993 |
+
|
3994 |
+
|
3995 |
+
'
|
3996 |
+
target_delimiter: ' '
|
3997 |
+
fewshot_delimiter: '
|
3998 |
+
|
3999 |
+
|
4000 |
+
'
|
4001 |
+
fewshot_config:
|
4002 |
+
sampler: first_n
|
4003 |
+
metric_list:
|
4004 |
+
- metric: acc
|
4005 |
+
aggregation: mean
|
4006 |
+
higher_is_better: true
|
4007 |
+
output_type: multiple_choice
|
4008 |
+
repeats: 1
|
4009 |
+
should_decontaminate: false
|
4010 |
+
metadata:
|
4011 |
+
version: 0.0
|
4012 |
+
mmlu_human_sexuality:
|
4013 |
+
task: mmlu_human_sexuality
|
4014 |
+
task_alias: human_sexuality
|
4015 |
+
group: mmlu_social_sciences
|
4016 |
+
group_alias: social_sciences
|
4017 |
+
dataset_path: hails/mmlu_no_train
|
4018 |
+
dataset_name: human_sexuality
|
4019 |
+
test_split: test
|
4020 |
+
fewshot_split: dev
|
4021 |
+
doc_to_text: '{{question.strip()}}
|
4022 |
+
|
4023 |
+
A. {{choices[0]}}
|
4024 |
+
|
4025 |
+
B. {{choices[1]}}
|
4026 |
+
|
4027 |
+
C. {{choices[2]}}
|
4028 |
+
|
4029 |
+
D. {{choices[3]}}
|
4030 |
+
|
4031 |
+
Answer:'
|
4032 |
+
doc_to_target: answer
|
4033 |
+
doc_to_choice:
|
4034 |
+
- A
|
4035 |
+
- B
|
4036 |
+
- C
|
4037 |
+
- D
|
4038 |
+
description: 'The following are multiple choice questions (with answers)
|
4039 |
+
about human sexuality.
|
4040 |
+
|
4041 |
+
|
4042 |
+
'
|
4043 |
+
target_delimiter: ' '
|
4044 |
+
fewshot_delimiter: '
|
4045 |
+
|
4046 |
+
|
4047 |
+
'
|
4048 |
+
fewshot_config:
|
4049 |
+
sampler: first_n
|
4050 |
+
metric_list:
|
4051 |
+
- metric: acc
|
4052 |
+
aggregation: mean
|
4053 |
+
higher_is_better: true
|
4054 |
+
output_type: multiple_choice
|
4055 |
+
repeats: 1
|
4056 |
+
should_decontaminate: false
|
4057 |
+
metadata:
|
4058 |
+
version: 0.0
|
4059 |
+
mmlu_international_law:
|
4060 |
+
task: mmlu_international_law
|
4061 |
+
task_alias: international_law
|
4062 |
+
group: mmlu_humanities
|
4063 |
+
group_alias: humanities
|
4064 |
+
dataset_path: hails/mmlu_no_train
|
4065 |
+
dataset_name: international_law
|
4066 |
+
test_split: test
|
4067 |
+
fewshot_split: dev
|
4068 |
+
doc_to_text: '{{question.strip()}}
|
4069 |
+
|
4070 |
+
A. {{choices[0]}}
|
4071 |
+
|
4072 |
+
B. {{choices[1]}}
|
4073 |
+
|
4074 |
+
C. {{choices[2]}}
|
4075 |
+
|
4076 |
+
D. {{choices[3]}}
|
4077 |
+
|
4078 |
+
Answer:'
|
4079 |
+
doc_to_target: answer
|
4080 |
+
doc_to_choice:
|
4081 |
+
- A
|
4082 |
+
- B
|
4083 |
+
- C
|
4084 |
+
- D
|
4085 |
+
description: 'The following are multiple choice questions (with answers)
|
4086 |
+
about international law.
|
4087 |
+
|
4088 |
+
|
4089 |
+
'
|
4090 |
+
target_delimiter: ' '
|
4091 |
+
fewshot_delimiter: '
|
4092 |
+
|
4093 |
+
|
4094 |
+
'
|
4095 |
+
fewshot_config:
|
4096 |
+
sampler: first_n
|
4097 |
+
metric_list:
|
4098 |
+
- metric: acc
|
4099 |
+
aggregation: mean
|
4100 |
+
higher_is_better: true
|
4101 |
+
output_type: multiple_choice
|
4102 |
+
repeats: 1
|
4103 |
+
should_decontaminate: false
|
4104 |
+
metadata:
|
4105 |
+
version: 0.0
|
4106 |
+
mmlu_jurisprudence:
|
4107 |
+
task: mmlu_jurisprudence
|
4108 |
+
task_alias: jurisprudence
|
4109 |
+
group: mmlu_humanities
|
4110 |
+
group_alias: humanities
|
4111 |
+
dataset_path: hails/mmlu_no_train
|
4112 |
+
dataset_name: jurisprudence
|
4113 |
+
test_split: test
|
4114 |
+
fewshot_split: dev
|
4115 |
+
doc_to_text: '{{question.strip()}}
|
4116 |
+
|
4117 |
+
A. {{choices[0]}}
|
4118 |
+
|
4119 |
+
B. {{choices[1]}}
|
4120 |
+
|
4121 |
+
C. {{choices[2]}}
|
4122 |
+
|
4123 |
+
D. {{choices[3]}}
|
4124 |
+
|
4125 |
+
Answer:'
|
4126 |
+
doc_to_target: answer
|
4127 |
+
doc_to_choice:
|
4128 |
+
- A
|
4129 |
+
- B
|
4130 |
+
- C
|
4131 |
+
- D
|
4132 |
+
description: 'The following are multiple choice questions (with answers)
|
4133 |
+
about jurisprudence.
|
4134 |
+
|
4135 |
+
|
4136 |
+
'
|
4137 |
+
target_delimiter: ' '
|
4138 |
+
fewshot_delimiter: '
|
4139 |
+
|
4140 |
+
|
4141 |
+
'
|
4142 |
+
fewshot_config:
|
4143 |
+
sampler: first_n
|
4144 |
+
metric_list:
|
4145 |
+
- metric: acc
|
4146 |
+
aggregation: mean
|
4147 |
+
higher_is_better: true
|
4148 |
+
output_type: multiple_choice
|
4149 |
+
repeats: 1
|
4150 |
+
should_decontaminate: false
|
4151 |
+
metadata:
|
4152 |
+
version: 0.0
|
4153 |
+
mmlu_logical_fallacies:
|
4154 |
+
task: mmlu_logical_fallacies
|
4155 |
+
task_alias: logical_fallacies
|
4156 |
+
group: mmlu_humanities
|
4157 |
+
group_alias: humanities
|
4158 |
+
dataset_path: hails/mmlu_no_train
|
4159 |
+
dataset_name: logical_fallacies
|
4160 |
+
test_split: test
|
4161 |
+
fewshot_split: dev
|
4162 |
+
doc_to_text: '{{question.strip()}}
|
4163 |
+
|
4164 |
+
A. {{choices[0]}}
|
4165 |
+
|
4166 |
+
B. {{choices[1]}}
|
4167 |
+
|
4168 |
+
C. {{choices[2]}}
|
4169 |
+
|
4170 |
+
D. {{choices[3]}}
|
4171 |
+
|
4172 |
+
Answer:'
|
4173 |
+
doc_to_target: answer
|
4174 |
+
doc_to_choice:
|
4175 |
+
- A
|
4176 |
+
- B
|
4177 |
+
- C
|
4178 |
+
- D
|
4179 |
+
description: 'The following are multiple choice questions (with answers)
|
4180 |
+
about logical fallacies.
|
4181 |
+
|
4182 |
+
|
4183 |
+
'
|
4184 |
+
target_delimiter: ' '
|
4185 |
+
fewshot_delimiter: '
|
4186 |
+
|
4187 |
+
|
4188 |
+
'
|
4189 |
+
fewshot_config:
|
4190 |
+
sampler: first_n
|
4191 |
+
metric_list:
|
4192 |
+
- metric: acc
|
4193 |
+
aggregation: mean
|
4194 |
+
higher_is_better: true
|
4195 |
+
output_type: multiple_choice
|
4196 |
+
repeats: 1
|
4197 |
+
should_decontaminate: false
|
4198 |
+
metadata:
|
4199 |
+
version: 0.0
|
4200 |
+
mmlu_machine_learning:
|
4201 |
+
task: mmlu_machine_learning
|
4202 |
+
task_alias: machine_learning
|
4203 |
+
group: mmlu_stem
|
4204 |
+
group_alias: stem
|
4205 |
+
dataset_path: hails/mmlu_no_train
|
4206 |
+
dataset_name: machine_learning
|
4207 |
+
test_split: test
|
4208 |
+
fewshot_split: dev
|
4209 |
+
doc_to_text: '{{question.strip()}}
|
4210 |
+
|
4211 |
+
A. {{choices[0]}}
|
4212 |
+
|
4213 |
+
B. {{choices[1]}}
|
4214 |
+
|
4215 |
+
C. {{choices[2]}}
|
4216 |
+
|
4217 |
+
D. {{choices[3]}}
|
4218 |
+
|
4219 |
+
Answer:'
|
4220 |
+
doc_to_target: answer
|
4221 |
+
doc_to_choice:
|
4222 |
+
- A
|
4223 |
+
- B
|
4224 |
+
- C
|
4225 |
+
- D
|
4226 |
+
description: 'The following are multiple choice questions (with answers)
|
4227 |
+
about machine learning.
|
4228 |
+
|
4229 |
+
|
4230 |
+
'
|
4231 |
+
target_delimiter: ' '
|
4232 |
+
fewshot_delimiter: '
|
4233 |
+
|
4234 |
+
|
4235 |
+
'
|
4236 |
+
fewshot_config:
|
4237 |
+
sampler: first_n
|
4238 |
+
metric_list:
|
4239 |
+
- metric: acc
|
4240 |
+
aggregation: mean
|
4241 |
+
higher_is_better: true
|
4242 |
+
output_type: multiple_choice
|
4243 |
+
repeats: 1
|
4244 |
+
should_decontaminate: false
|
4245 |
+
metadata:
|
4246 |
+
version: 0.0
|
4247 |
+
mmlu_management:
|
4248 |
+
task: mmlu_management
|
4249 |
+
task_alias: management
|
4250 |
+
group: mmlu_other
|
4251 |
+
group_alias: other
|
4252 |
+
dataset_path: hails/mmlu_no_train
|
4253 |
+
dataset_name: management
|
4254 |
+
test_split: test
|
4255 |
+
fewshot_split: dev
|
4256 |
+
doc_to_text: '{{question.strip()}}
|
4257 |
+
|
4258 |
+
A. {{choices[0]}}
|
4259 |
+
|
4260 |
+
B. {{choices[1]}}
|
4261 |
+
|
4262 |
+
C. {{choices[2]}}
|
4263 |
+
|
4264 |
+
D. {{choices[3]}}
|
4265 |
+
|
4266 |
+
Answer:'
|
4267 |
+
doc_to_target: answer
|
4268 |
+
doc_to_choice:
|
4269 |
+
- A
|
4270 |
+
- B
|
4271 |
+
- C
|
4272 |
+
- D
|
4273 |
+
description: 'The following are multiple choice questions (with answers)
|
4274 |
+
about management.
|
4275 |
+
|
4276 |
+
|
4277 |
+
'
|
4278 |
+
target_delimiter: ' '
|
4279 |
+
fewshot_delimiter: '
|
4280 |
+
|
4281 |
+
|
4282 |
+
'
|
4283 |
+
fewshot_config:
|
4284 |
+
sampler: first_n
|
4285 |
+
metric_list:
|
4286 |
+
- metric: acc
|
4287 |
+
aggregation: mean
|
4288 |
+
higher_is_better: true
|
4289 |
+
output_type: multiple_choice
|
4290 |
+
repeats: 1
|
4291 |
+
should_decontaminate: false
|
4292 |
+
metadata:
|
4293 |
+
version: 0.0
|
4294 |
+
mmlu_marketing:
|
4295 |
+
task: mmlu_marketing
|
4296 |
+
task_alias: marketing
|
4297 |
+
group: mmlu_other
|
4298 |
+
group_alias: other
|
4299 |
+
dataset_path: hails/mmlu_no_train
|
4300 |
+
dataset_name: marketing
|
4301 |
+
test_split: test
|
4302 |
+
fewshot_split: dev
|
4303 |
+
doc_to_text: '{{question.strip()}}
|
4304 |
+
|
4305 |
+
A. {{choices[0]}}
|
4306 |
+
|
4307 |
+
B. {{choices[1]}}
|
4308 |
+
|
4309 |
+
C. {{choices[2]}}
|
4310 |
+
|
4311 |
+
D. {{choices[3]}}
|
4312 |
+
|
4313 |
+
Answer:'
|
4314 |
+
doc_to_target: answer
|
4315 |
+
doc_to_choice:
|
4316 |
+
- A
|
4317 |
+
- B
|
4318 |
+
- C
|
4319 |
+
- D
|
4320 |
+
description: 'The following are multiple choice questions (with answers)
|
4321 |
+
about marketing.
|
4322 |
+
|
4323 |
+
|
4324 |
+
'
|
4325 |
+
target_delimiter: ' '
|
4326 |
+
fewshot_delimiter: '
|
4327 |
+
|
4328 |
+
|
4329 |
+
'
|
4330 |
+
fewshot_config:
|
4331 |
+
sampler: first_n
|
4332 |
+
metric_list:
|
4333 |
+
- metric: acc
|
4334 |
+
aggregation: mean
|
4335 |
+
higher_is_better: true
|
4336 |
+
output_type: multiple_choice
|
4337 |
+
repeats: 1
|
4338 |
+
should_decontaminate: false
|
4339 |
+
metadata:
|
4340 |
+
version: 0.0
|
4341 |
+
mmlu_medical_genetics:
|
4342 |
+
task: mmlu_medical_genetics
|
4343 |
+
task_alias: medical_genetics
|
4344 |
+
group: mmlu_other
|
4345 |
+
group_alias: other
|
4346 |
+
dataset_path: hails/mmlu_no_train
|
4347 |
+
dataset_name: medical_genetics
|
4348 |
+
test_split: test
|
4349 |
+
fewshot_split: dev
|
4350 |
+
doc_to_text: '{{question.strip()}}
|
4351 |
+
|
4352 |
+
A. {{choices[0]}}
|
4353 |
+
|
4354 |
+
B. {{choices[1]}}
|
4355 |
+
|
4356 |
+
C. {{choices[2]}}
|
4357 |
+
|
4358 |
+
D. {{choices[3]}}
|
4359 |
+
|
4360 |
+
Answer:'
|
4361 |
+
doc_to_target: answer
|
4362 |
+
doc_to_choice:
|
4363 |
+
- A
|
4364 |
+
- B
|
4365 |
+
- C
|
4366 |
+
- D
|
4367 |
+
description: 'The following are multiple choice questions (with answers)
|
4368 |
+
about medical genetics.
|
4369 |
+
|
4370 |
+
|
4371 |
+
'
|
4372 |
+
target_delimiter: ' '
|
4373 |
+
fewshot_delimiter: '
|
4374 |
+
|
4375 |
+
|
4376 |
+
'
|
4377 |
+
fewshot_config:
|
4378 |
+
sampler: first_n
|
4379 |
+
metric_list:
|
4380 |
+
- metric: acc
|
4381 |
+
aggregation: mean
|
4382 |
+
higher_is_better: true
|
4383 |
+
output_type: multiple_choice
|
4384 |
+
repeats: 1
|
4385 |
+
should_decontaminate: false
|
4386 |
+
metadata:
|
4387 |
+
version: 0.0
|
4388 |
+
mmlu_miscellaneous:
|
4389 |
+
task: mmlu_miscellaneous
|
4390 |
+
task_alias: miscellaneous
|
4391 |
+
group: mmlu_other
|
4392 |
+
group_alias: other
|
4393 |
+
dataset_path: hails/mmlu_no_train
|
4394 |
+
dataset_name: miscellaneous
|
4395 |
+
test_split: test
|
4396 |
+
fewshot_split: dev
|
4397 |
+
doc_to_text: '{{question.strip()}}
|
4398 |
+
|
4399 |
+
A. {{choices[0]}}
|
4400 |
+
|
4401 |
+
B. {{choices[1]}}
|
4402 |
+
|
4403 |
+
C. {{choices[2]}}
|
4404 |
+
|
4405 |
+
D. {{choices[3]}}
|
4406 |
+
|
4407 |
+
Answer:'
|
4408 |
+
doc_to_target: answer
|
4409 |
+
doc_to_choice:
|
4410 |
+
- A
|
4411 |
+
- B
|
4412 |
+
- C
|
4413 |
+
- D
|
4414 |
+
description: 'The following are multiple choice questions (with answers)
|
4415 |
+
about miscellaneous.
|
4416 |
+
|
4417 |
+
|
4418 |
+
'
|
4419 |
+
target_delimiter: ' '
|
4420 |
+
fewshot_delimiter: '
|
4421 |
+
|
4422 |
+
|
4423 |
+
'
|
4424 |
+
fewshot_config:
|
4425 |
+
sampler: first_n
|
4426 |
+
metric_list:
|
4427 |
+
- metric: acc
|
4428 |
+
aggregation: mean
|
4429 |
+
higher_is_better: true
|
4430 |
+
output_type: multiple_choice
|
4431 |
+
repeats: 1
|
4432 |
+
should_decontaminate: false
|
4433 |
+
metadata:
|
4434 |
+
version: 0.0
|
4435 |
+
mmlu_moral_disputes:
|
4436 |
+
task: mmlu_moral_disputes
|
4437 |
+
task_alias: moral_disputes
|
4438 |
+
group: mmlu_humanities
|
4439 |
+
group_alias: humanities
|
4440 |
+
dataset_path: hails/mmlu_no_train
|
4441 |
+
dataset_name: moral_disputes
|
4442 |
+
test_split: test
|
4443 |
+
fewshot_split: dev
|
4444 |
+
doc_to_text: '{{question.strip()}}
|
4445 |
+
|
4446 |
+
A. {{choices[0]}}
|
4447 |
+
|
4448 |
+
B. {{choices[1]}}
|
4449 |
+
|
4450 |
+
C. {{choices[2]}}
|
4451 |
+
|
4452 |
+
D. {{choices[3]}}
|
4453 |
+
|
4454 |
+
Answer:'
|
4455 |
+
doc_to_target: answer
|
4456 |
+
doc_to_choice:
|
4457 |
+
- A
|
4458 |
+
- B
|
4459 |
+
- C
|
4460 |
+
- D
|
4461 |
+
description: 'The following are multiple choice questions (with answers)
|
4462 |
+
about moral disputes.
|
4463 |
+
|
4464 |
+
|
4465 |
+
'
|
4466 |
+
target_delimiter: ' '
|
4467 |
+
fewshot_delimiter: '
|
4468 |
+
|
4469 |
+
|
4470 |
+
'
|
4471 |
+
fewshot_config:
|
4472 |
+
sampler: first_n
|
4473 |
+
metric_list:
|
4474 |
+
- metric: acc
|
4475 |
+
aggregation: mean
|
4476 |
+
higher_is_better: true
|
4477 |
+
output_type: multiple_choice
|
4478 |
+
repeats: 1
|
4479 |
+
should_decontaminate: false
|
4480 |
+
metadata:
|
4481 |
+
version: 0.0
|
4482 |
+
mmlu_moral_scenarios:
|
4483 |
+
task: mmlu_moral_scenarios
|
4484 |
+
task_alias: moral_scenarios
|
4485 |
+
group: mmlu_humanities
|
4486 |
+
group_alias: humanities
|
4487 |
+
dataset_path: hails/mmlu_no_train
|
4488 |
+
dataset_name: moral_scenarios
|
4489 |
+
test_split: test
|
4490 |
+
fewshot_split: dev
|
4491 |
+
doc_to_text: '{{question.strip()}}
|
4492 |
+
|
4493 |
+
A. {{choices[0]}}
|
4494 |
+
|
4495 |
+
B. {{choices[1]}}
|
4496 |
+
|
4497 |
+
C. {{choices[2]}}
|
4498 |
+
|
4499 |
+
D. {{choices[3]}}
|
4500 |
+
|
4501 |
+
Answer:'
|
4502 |
+
doc_to_target: answer
|
4503 |
+
doc_to_choice:
|
4504 |
+
- A
|
4505 |
+
- B
|
4506 |
+
- C
|
4507 |
+
- D
|
4508 |
+
description: 'The following are multiple choice questions (with answers)
|
4509 |
+
about moral scenarios.
|
4510 |
+
|
4511 |
+
|
4512 |
+
'
|
4513 |
+
target_delimiter: ' '
|
4514 |
+
fewshot_delimiter: '
|
4515 |
+
|
4516 |
+
|
4517 |
+
'
|
4518 |
+
fewshot_config:
|
4519 |
+
sampler: first_n
|
4520 |
+
metric_list:
|
4521 |
+
- metric: acc
|
4522 |
+
aggregation: mean
|
4523 |
+
higher_is_better: true
|
4524 |
+
output_type: multiple_choice
|
4525 |
+
repeats: 1
|
4526 |
+
should_decontaminate: false
|
4527 |
+
metadata:
|
4528 |
+
version: 0.0
|
4529 |
+
mmlu_nutrition:
|
4530 |
+
task: mmlu_nutrition
|
4531 |
+
task_alias: nutrition
|
4532 |
+
group: mmlu_other
|
4533 |
+
group_alias: other
|
4534 |
+
dataset_path: hails/mmlu_no_train
|
4535 |
+
dataset_name: nutrition
|
4536 |
+
test_split: test
|
4537 |
+
fewshot_split: dev
|
4538 |
+
doc_to_text: '{{question.strip()}}
|
4539 |
+
|
4540 |
+
A. {{choices[0]}}
|
4541 |
+
|
4542 |
+
B. {{choices[1]}}
|
4543 |
+
|
4544 |
+
C. {{choices[2]}}
|
4545 |
+
|
4546 |
+
D. {{choices[3]}}
|
4547 |
+
|
4548 |
+
Answer:'
|
4549 |
+
doc_to_target: answer
|
4550 |
+
doc_to_choice:
|
4551 |
+
- A
|
4552 |
+
- B
|
4553 |
+
- C
|
4554 |
+
- D
|
4555 |
+
description: 'The following are multiple choice questions (with answers)
|
4556 |
+
about nutrition.
|
4557 |
+
|
4558 |
+
|
4559 |
+
'
|
4560 |
+
target_delimiter: ' '
|
4561 |
+
fewshot_delimiter: '
|
4562 |
+
|
4563 |
+
|
4564 |
+
'
|
4565 |
+
fewshot_config:
|
4566 |
+
sampler: first_n
|
4567 |
+
metric_list:
|
4568 |
+
- metric: acc
|
4569 |
+
aggregation: mean
|
4570 |
+
higher_is_better: true
|
4571 |
+
output_type: multiple_choice
|
4572 |
+
repeats: 1
|
4573 |
+
should_decontaminate: false
|
4574 |
+
metadata:
|
4575 |
+
version: 0.0
|
4576 |
+
mmlu_philosophy:
|
4577 |
+
task: mmlu_philosophy
|
4578 |
+
task_alias: philosophy
|
4579 |
+
group: mmlu_humanities
|
4580 |
+
group_alias: humanities
|
4581 |
+
dataset_path: hails/mmlu_no_train
|
4582 |
+
dataset_name: philosophy
|
4583 |
+
test_split: test
|
4584 |
+
fewshot_split: dev
|
4585 |
+
doc_to_text: '{{question.strip()}}
|
4586 |
+
|
4587 |
+
A. {{choices[0]}}
|
4588 |
+
|
4589 |
+
B. {{choices[1]}}
|
4590 |
+
|
4591 |
+
C. {{choices[2]}}
|
4592 |
+
|
4593 |
+
D. {{choices[3]}}
|
4594 |
+
|
4595 |
+
Answer:'
|
4596 |
+
doc_to_target: answer
|
4597 |
+
doc_to_choice:
|
4598 |
+
- A
|
4599 |
+
- B
|
4600 |
+
- C
|
4601 |
+
- D
|
4602 |
+
description: 'The following are multiple choice questions (with answers)
|
4603 |
+
about philosophy.
|
4604 |
+
|
4605 |
+
|
4606 |
+
'
|
4607 |
+
target_delimiter: ' '
|
4608 |
+
fewshot_delimiter: '
|
4609 |
+
|
4610 |
+
|
4611 |
+
'
|
4612 |
+
fewshot_config:
|
4613 |
+
sampler: first_n
|
4614 |
+
metric_list:
|
4615 |
+
- metric: acc
|
4616 |
+
aggregation: mean
|
4617 |
+
higher_is_better: true
|
4618 |
+
output_type: multiple_choice
|
4619 |
+
repeats: 1
|
4620 |
+
should_decontaminate: false
|
4621 |
+
metadata:
|
4622 |
+
version: 0.0
|
4623 |
+
mmlu_prehistory:
|
4624 |
+
task: mmlu_prehistory
|
4625 |
+
task_alias: prehistory
|
4626 |
+
group: mmlu_humanities
|
4627 |
+
group_alias: humanities
|
4628 |
+
dataset_path: hails/mmlu_no_train
|
4629 |
+
dataset_name: prehistory
|
4630 |
+
test_split: test
|
4631 |
+
fewshot_split: dev
|
4632 |
+
doc_to_text: '{{question.strip()}}
|
4633 |
+
|
4634 |
+
A. {{choices[0]}}
|
4635 |
+
|
4636 |
+
B. {{choices[1]}}
|
4637 |
+
|
4638 |
+
C. {{choices[2]}}
|
4639 |
+
|
4640 |
+
D. {{choices[3]}}
|
4641 |
+
|
4642 |
+
Answer:'
|
4643 |
+
doc_to_target: answer
|
4644 |
+
doc_to_choice:
|
4645 |
+
- A
|
4646 |
+
- B
|
4647 |
+
- C
|
4648 |
+
- D
|
4649 |
+
description: 'The following are multiple choice questions (with answers)
|
4650 |
+
about prehistory.
|
4651 |
+
|
4652 |
+
|
4653 |
+
'
|
4654 |
+
target_delimiter: ' '
|
4655 |
+
fewshot_delimiter: '
|
4656 |
+
|
4657 |
+
|
4658 |
+
'
|
4659 |
+
fewshot_config:
|
4660 |
+
sampler: first_n
|
4661 |
+
metric_list:
|
4662 |
+
- metric: acc
|
4663 |
+
aggregation: mean
|
4664 |
+
higher_is_better: true
|
4665 |
+
output_type: multiple_choice
|
4666 |
+
repeats: 1
|
4667 |
+
should_decontaminate: false
|
4668 |
+
metadata:
|
4669 |
+
version: 0.0
|
4670 |
+
mmlu_professional_accounting:
|
4671 |
+
task: mmlu_professional_accounting
|
4672 |
+
task_alias: professional_accounting
|
4673 |
+
group: mmlu_other
|
4674 |
+
group_alias: other
|
4675 |
+
dataset_path: hails/mmlu_no_train
|
4676 |
+
dataset_name: professional_accounting
|
4677 |
+
test_split: test
|
4678 |
+
fewshot_split: dev
|
4679 |
+
doc_to_text: '{{question.strip()}}
|
4680 |
+
|
4681 |
+
A. {{choices[0]}}
|
4682 |
+
|
4683 |
+
B. {{choices[1]}}
|
4684 |
+
|
4685 |
+
C. {{choices[2]}}
|
4686 |
+
|
4687 |
+
D. {{choices[3]}}
|
4688 |
+
|
4689 |
+
Answer:'
|
4690 |
+
doc_to_target: answer
|
4691 |
+
doc_to_choice:
|
4692 |
+
- A
|
4693 |
+
- B
|
4694 |
+
- C
|
4695 |
+
- D
|
4696 |
+
description: 'The following are multiple choice questions (with answers)
|
4697 |
+
about professional accounting.
|
4698 |
+
|
4699 |
+
|
4700 |
+
'
|
4701 |
+
target_delimiter: ' '
|
4702 |
+
fewshot_delimiter: '
|
4703 |
+
|
4704 |
+
|
4705 |
+
'
|
4706 |
+
fewshot_config:
|
4707 |
+
sampler: first_n
|
4708 |
+
metric_list:
|
4709 |
+
- metric: acc
|
4710 |
+
aggregation: mean
|
4711 |
+
higher_is_better: true
|
4712 |
+
output_type: multiple_choice
|
4713 |
+
repeats: 1
|
4714 |
+
should_decontaminate: false
|
4715 |
+
metadata:
|
4716 |
+
version: 0.0
|
4717 |
+
mmlu_professional_law:
|
4718 |
+
task: mmlu_professional_law
|
4719 |
+
task_alias: professional_law
|
4720 |
+
group: mmlu_humanities
|
4721 |
+
group_alias: humanities
|
4722 |
+
dataset_path: hails/mmlu_no_train
|
4723 |
+
dataset_name: professional_law
|
4724 |
+
test_split: test
|
4725 |
+
fewshot_split: dev
|
4726 |
+
doc_to_text: '{{question.strip()}}
|
4727 |
+
|
4728 |
+
A. {{choices[0]}}
|
4729 |
+
|
4730 |
+
B. {{choices[1]}}
|
4731 |
+
|
4732 |
+
C. {{choices[2]}}
|
4733 |
+
|
4734 |
+
D. {{choices[3]}}
|
4735 |
+
|
4736 |
+
Answer:'
|
4737 |
+
doc_to_target: answer
|
4738 |
+
doc_to_choice:
|
4739 |
+
- A
|
4740 |
+
- B
|
4741 |
+
- C
|
4742 |
+
- D
|
4743 |
+
description: 'The following are multiple choice questions (with answers)
|
4744 |
+
about professional law.
|
4745 |
+
|
4746 |
+
|
4747 |
+
'
|
4748 |
+
target_delimiter: ' '
|
4749 |
+
fewshot_delimiter: '
|
4750 |
+
|
4751 |
+
|
4752 |
+
'
|
4753 |
+
fewshot_config:
|
4754 |
+
sampler: first_n
|
4755 |
+
metric_list:
|
4756 |
+
- metric: acc
|
4757 |
+
aggregation: mean
|
4758 |
+
higher_is_better: true
|
4759 |
+
output_type: multiple_choice
|
4760 |
+
repeats: 1
|
4761 |
+
should_decontaminate: false
|
4762 |
+
metadata:
|
4763 |
+
version: 0.0
|
4764 |
+
mmlu_professional_medicine:
|
4765 |
+
task: mmlu_professional_medicine
|
4766 |
+
task_alias: professional_medicine
|
4767 |
+
group: mmlu_other
|
4768 |
+
group_alias: other
|
4769 |
+
dataset_path: hails/mmlu_no_train
|
4770 |
+
dataset_name: professional_medicine
|
4771 |
+
test_split: test
|
4772 |
+
fewshot_split: dev
|
4773 |
+
doc_to_text: '{{question.strip()}}
|
4774 |
+
|
4775 |
+
A. {{choices[0]}}
|
4776 |
+
|
4777 |
+
B. {{choices[1]}}
|
4778 |
+
|
4779 |
+
C. {{choices[2]}}
|
4780 |
+
|
4781 |
+
D. {{choices[3]}}
|
4782 |
+
|
4783 |
+
Answer:'
|
4784 |
+
doc_to_target: answer
|
4785 |
+
doc_to_choice:
|
4786 |
+
- A
|
4787 |
+
- B
|
4788 |
+
- C
|
4789 |
+
- D
|
4790 |
+
description: 'The following are multiple choice questions (with answers)
|
4791 |
+
about professional medicine.
|
4792 |
+
|
4793 |
+
|
4794 |
+
'
|
4795 |
+
target_delimiter: ' '
|
4796 |
+
fewshot_delimiter: '
|
4797 |
+
|
4798 |
+
|
4799 |
+
'
|
4800 |
+
fewshot_config:
|
4801 |
+
sampler: first_n
|
4802 |
+
metric_list:
|
4803 |
+
- metric: acc
|
4804 |
+
aggregation: mean
|
4805 |
+
higher_is_better: true
|
4806 |
+
output_type: multiple_choice
|
4807 |
+
repeats: 1
|
4808 |
+
should_decontaminate: false
|
4809 |
+
metadata:
|
4810 |
+
version: 0.0
|
4811 |
+
mmlu_professional_psychology:
|
4812 |
+
task: mmlu_professional_psychology
|
4813 |
+
task_alias: professional_psychology
|
4814 |
+
group: mmlu_social_sciences
|
4815 |
+
group_alias: social_sciences
|
4816 |
+
dataset_path: hails/mmlu_no_train
|
4817 |
+
dataset_name: professional_psychology
|
4818 |
+
test_split: test
|
4819 |
+
fewshot_split: dev
|
4820 |
+
doc_to_text: '{{question.strip()}}
|
4821 |
+
|
4822 |
+
A. {{choices[0]}}
|
4823 |
+
|
4824 |
+
B. {{choices[1]}}
|
4825 |
+
|
4826 |
+
C. {{choices[2]}}
|
4827 |
+
|
4828 |
+
D. {{choices[3]}}
|
4829 |
+
|
4830 |
+
Answer:'
|
4831 |
+
doc_to_target: answer
|
4832 |
+
doc_to_choice:
|
4833 |
+
- A
|
4834 |
+
- B
|
4835 |
+
- C
|
4836 |
+
- D
|
4837 |
+
description: 'The following are multiple choice questions (with answers)
|
4838 |
+
about professional psychology.
|
4839 |
+
|
4840 |
+
|
4841 |
+
'
|
4842 |
+
target_delimiter: ' '
|
4843 |
+
fewshot_delimiter: '
|
4844 |
+
|
4845 |
+
|
4846 |
+
'
|
4847 |
+
fewshot_config:
|
4848 |
+
sampler: first_n
|
4849 |
+
metric_list:
|
4850 |
+
- metric: acc
|
4851 |
+
aggregation: mean
|
4852 |
+
higher_is_better: true
|
4853 |
+
output_type: multiple_choice
|
4854 |
+
repeats: 1
|
4855 |
+
should_decontaminate: false
|
4856 |
+
metadata:
|
4857 |
+
version: 0.0
|
4858 |
+
mmlu_public_relations:
|
4859 |
+
task: mmlu_public_relations
|
4860 |
+
task_alias: public_relations
|
4861 |
+
group: mmlu_social_sciences
|
4862 |
+
group_alias: social_sciences
|
4863 |
+
dataset_path: hails/mmlu_no_train
|
4864 |
+
dataset_name: public_relations
|
4865 |
+
test_split: test
|
4866 |
+
fewshot_split: dev
|
4867 |
+
doc_to_text: '{{question.strip()}}
|
4868 |
+
|
4869 |
+
A. {{choices[0]}}
|
4870 |
+
|
4871 |
+
B. {{choices[1]}}
|
4872 |
+
|
4873 |
+
C. {{choices[2]}}
|
4874 |
+
|
4875 |
+
D. {{choices[3]}}
|
4876 |
+
|
4877 |
+
Answer:'
|
4878 |
+
doc_to_target: answer
|
4879 |
+
doc_to_choice:
|
4880 |
+
- A
|
4881 |
+
- B
|
4882 |
+
- C
|
4883 |
+
- D
|
4884 |
+
description: 'The following are multiple choice questions (with answers)
|
4885 |
+
about public relations.
|
4886 |
+
|
4887 |
+
|
4888 |
+
'
|
4889 |
+
target_delimiter: ' '
|
4890 |
+
fewshot_delimiter: '
|
4891 |
+
|
4892 |
+
|
4893 |
+
'
|
4894 |
+
fewshot_config:
|
4895 |
+
sampler: first_n
|
4896 |
+
metric_list:
|
4897 |
+
- metric: acc
|
4898 |
+
aggregation: mean
|
4899 |
+
higher_is_better: true
|
4900 |
+
output_type: multiple_choice
|
4901 |
+
repeats: 1
|
4902 |
+
should_decontaminate: false
|
4903 |
+
metadata:
|
4904 |
+
version: 0.0
|
4905 |
+
mmlu_security_studies:
|
4906 |
+
task: mmlu_security_studies
|
4907 |
+
task_alias: security_studies
|
4908 |
+
group: mmlu_social_sciences
|
4909 |
+
group_alias: social_sciences
|
4910 |
+
dataset_path: hails/mmlu_no_train
|
4911 |
+
dataset_name: security_studies
|
4912 |
+
test_split: test
|
4913 |
+
fewshot_split: dev
|
4914 |
+
doc_to_text: '{{question.strip()}}
|
4915 |
+
|
4916 |
+
A. {{choices[0]}}
|
4917 |
+
|
4918 |
+
B. {{choices[1]}}
|
4919 |
+
|
4920 |
+
C. {{choices[2]}}
|
4921 |
+
|
4922 |
+
D. {{choices[3]}}
|
4923 |
+
|
4924 |
+
Answer:'
|
4925 |
+
doc_to_target: answer
|
4926 |
+
doc_to_choice:
|
4927 |
+
- A
|
4928 |
+
- B
|
4929 |
+
- C
|
4930 |
+
- D
|
4931 |
+
description: 'The following are multiple choice questions (with answers)
|
4932 |
+
about security studies.
|
4933 |
+
|
4934 |
+
|
4935 |
+
'
|
4936 |
+
target_delimiter: ' '
|
4937 |
+
fewshot_delimiter: '
|
4938 |
+
|
4939 |
+
|
4940 |
+
'
|
4941 |
+
fewshot_config:
|
4942 |
+
sampler: first_n
|
4943 |
+
metric_list:
|
4944 |
+
- metric: acc
|
4945 |
+
aggregation: mean
|
4946 |
+
higher_is_better: true
|
4947 |
+
output_type: multiple_choice
|
4948 |
+
repeats: 1
|
4949 |
+
should_decontaminate: false
|
4950 |
+
metadata:
|
4951 |
+
version: 0.0
|
4952 |
+
mmlu_sociology:
|
4953 |
+
task: mmlu_sociology
|
4954 |
+
task_alias: sociology
|
4955 |
+
group: mmlu_social_sciences
|
4956 |
+
group_alias: social_sciences
|
4957 |
+
dataset_path: hails/mmlu_no_train
|
4958 |
+
dataset_name: sociology
|
4959 |
+
test_split: test
|
4960 |
+
fewshot_split: dev
|
4961 |
+
doc_to_text: '{{question.strip()}}
|
4962 |
+
|
4963 |
+
A. {{choices[0]}}
|
4964 |
+
|
4965 |
+
B. {{choices[1]}}
|
4966 |
+
|
4967 |
+
C. {{choices[2]}}
|
4968 |
+
|
4969 |
+
D. {{choices[3]}}
|
4970 |
+
|
4971 |
+
Answer:'
|
4972 |
+
doc_to_target: answer
|
4973 |
+
doc_to_choice:
|
4974 |
+
- A
|
4975 |
+
- B
|
4976 |
+
- C
|
4977 |
+
- D
|
4978 |
+
description: 'The following are multiple choice questions (with answers)
|
4979 |
+
about sociology.
|
4980 |
+
|
4981 |
+
|
4982 |
+
'
|
4983 |
+
target_delimiter: ' '
|
4984 |
+
fewshot_delimiter: '
|
4985 |
+
|
4986 |
+
|
4987 |
+
'
|
4988 |
+
fewshot_config:
|
4989 |
+
sampler: first_n
|
4990 |
+
metric_list:
|
4991 |
+
- metric: acc
|
4992 |
+
aggregation: mean
|
4993 |
+
higher_is_better: true
|
4994 |
+
output_type: multiple_choice
|
4995 |
+
repeats: 1
|
4996 |
+
should_decontaminate: false
|
4997 |
+
metadata:
|
4998 |
+
version: 0.0
|
4999 |
+
mmlu_us_foreign_policy:
|
5000 |
+
task: mmlu_us_foreign_policy
|
5001 |
+
task_alias: us_foreign_policy
|
5002 |
+
group: mmlu_social_sciences
|
5003 |
+
group_alias: social_sciences
|
5004 |
+
dataset_path: hails/mmlu_no_train
|
5005 |
+
dataset_name: us_foreign_policy
|
5006 |
+
test_split: test
|
5007 |
+
fewshot_split: dev
|
5008 |
+
doc_to_text: '{{question.strip()}}
|
5009 |
+
|
5010 |
+
A. {{choices[0]}}
|
5011 |
+
|
5012 |
+
B. {{choices[1]}}
|
5013 |
+
|
5014 |
+
C. {{choices[2]}}
|
5015 |
+
|
5016 |
+
D. {{choices[3]}}
|
5017 |
+
|
5018 |
+
Answer:'
|
5019 |
+
doc_to_target: answer
|
5020 |
+
doc_to_choice:
|
5021 |
+
- A
|
5022 |
+
- B
|
5023 |
+
- C
|
5024 |
+
- D
|
5025 |
+
description: 'The following are multiple choice questions (with answers)
|
5026 |
+
about us foreign policy.
|
5027 |
+
|
5028 |
+
|
5029 |
+
'
|
5030 |
+
target_delimiter: ' '
|
5031 |
+
fewshot_delimiter: '
|
5032 |
+
|
5033 |
+
|
5034 |
+
'
|
5035 |
+
fewshot_config:
|
5036 |
+
sampler: first_n
|
5037 |
+
metric_list:
|
5038 |
+
- metric: acc
|
5039 |
+
aggregation: mean
|
5040 |
+
higher_is_better: true
|
5041 |
+
output_type: multiple_choice
|
5042 |
+
repeats: 1
|
5043 |
+
should_decontaminate: false
|
5044 |
+
metadata:
|
5045 |
+
version: 0.0
|
5046 |
+
mmlu_virology:
|
5047 |
+
task: mmlu_virology
|
5048 |
+
task_alias: virology
|
5049 |
+
group: mmlu_other
|
5050 |
+
group_alias: other
|
5051 |
+
dataset_path: hails/mmlu_no_train
|
5052 |
+
dataset_name: virology
|
5053 |
+
test_split: test
|
5054 |
+
fewshot_split: dev
|
5055 |
+
doc_to_text: '{{question.strip()}}
|
5056 |
+
|
5057 |
+
A. {{choices[0]}}
|
5058 |
+
|
5059 |
+
B. {{choices[1]}}
|
5060 |
+
|
5061 |
+
C. {{choices[2]}}
|
5062 |
+
|
5063 |
+
D. {{choices[3]}}
|
5064 |
+
|
5065 |
+
Answer:'
|
5066 |
+
doc_to_target: answer
|
5067 |
+
doc_to_choice:
|
5068 |
+
- A
|
5069 |
+
- B
|
5070 |
+
- C
|
5071 |
+
- D
|
5072 |
+
description: 'The following are multiple choice questions (with answers)
|
5073 |
+
about virology.
|
5074 |
+
|
5075 |
+
|
5076 |
+
'
|
5077 |
+
target_delimiter: ' '
|
5078 |
+
fewshot_delimiter: '
|
5079 |
+
|
5080 |
+
|
5081 |
+
'
|
5082 |
+
fewshot_config:
|
5083 |
+
sampler: first_n
|
5084 |
+
metric_list:
|
5085 |
+
- metric: acc
|
5086 |
+
aggregation: mean
|
5087 |
+
higher_is_better: true
|
5088 |
+
output_type: multiple_choice
|
5089 |
+
repeats: 1
|
5090 |
+
should_decontaminate: false
|
5091 |
+
metadata:
|
5092 |
+
version: 0.0
|
5093 |
+
mmlu_world_religions:
|
5094 |
+
task: mmlu_world_religions
|
5095 |
+
task_alias: world_religions
|
5096 |
+
group: mmlu_humanities
|
5097 |
+
group_alias: humanities
|
5098 |
+
dataset_path: hails/mmlu_no_train
|
5099 |
+
dataset_name: world_religions
|
5100 |
+
test_split: test
|
5101 |
+
fewshot_split: dev
|
5102 |
+
doc_to_text: '{{question.strip()}}
|
5103 |
+
|
5104 |
+
A. {{choices[0]}}
|
5105 |
+
|
5106 |
+
B. {{choices[1]}}
|
5107 |
+
|
5108 |
+
C. {{choices[2]}}
|
5109 |
+
|
5110 |
+
D. {{choices[3]}}
|
5111 |
+
|
5112 |
+
Answer:'
|
5113 |
+
doc_to_target: answer
|
5114 |
+
doc_to_choice:
|
5115 |
+
- A
|
5116 |
+
- B
|
5117 |
+
- C
|
5118 |
+
- D
|
5119 |
+
description: 'The following are multiple choice questions (with answers)
|
5120 |
+
about world religions.
|
5121 |
+
|
5122 |
+
|
5123 |
+
'
|
5124 |
+
target_delimiter: ' '
|
5125 |
+
fewshot_delimiter: '
|
5126 |
+
|
5127 |
+
|
5128 |
+
'
|
5129 |
+
fewshot_config:
|
5130 |
+
sampler: first_n
|
5131 |
+
metric_list:
|
5132 |
+
- metric: acc
|
5133 |
+
aggregation: mean
|
5134 |
+
higher_is_better: true
|
5135 |
+
output_type: multiple_choice
|
5136 |
+
repeats: 1
|
5137 |
+
should_decontaminate: false
|
5138 |
+
metadata:
|
5139 |
+
version: 0.0
|
5140 |
+
versions:
|
5141 |
+
mmlu_abstract_algebra: 0.0
|
5142 |
+
mmlu_anatomy: 0.0
|
5143 |
+
mmlu_astronomy: 0.0
|
5144 |
+
mmlu_business_ethics: 0.0
|
5145 |
+
mmlu_clinical_knowledge: 0.0
|
5146 |
+
mmlu_college_biology: 0.0
|
5147 |
+
mmlu_college_chemistry: 0.0
|
5148 |
+
mmlu_college_computer_science: 0.0
|
5149 |
+
mmlu_college_mathematics: 0.0
|
5150 |
+
mmlu_college_medicine: 0.0
|
5151 |
+
mmlu_college_physics: 0.0
|
5152 |
+
mmlu_computer_security: 0.0
|
5153 |
+
mmlu_conceptual_physics: 0.0
|
5154 |
+
mmlu_econometrics: 0.0
|
5155 |
+
mmlu_electrical_engineering: 0.0
|
5156 |
+
mmlu_elementary_mathematics: 0.0
|
5157 |
+
mmlu_formal_logic: 0.0
|
5158 |
+
mmlu_global_facts: 0.0
|
5159 |
+
mmlu_high_school_biology: 0.0
|
5160 |
+
mmlu_high_school_chemistry: 0.0
|
5161 |
+
mmlu_high_school_computer_science: 0.0
|
5162 |
+
mmlu_high_school_european_history: 0.0
|
5163 |
+
mmlu_high_school_geography: 0.0
|
5164 |
+
mmlu_high_school_government_and_politics: 0.0
|
5165 |
+
mmlu_high_school_macroeconomics: 0.0
|
5166 |
+
mmlu_high_school_mathematics: 0.0
|
5167 |
+
mmlu_high_school_microeconomics: 0.0
|
5168 |
+
mmlu_high_school_physics: 0.0
|
5169 |
+
mmlu_high_school_psychology: 0.0
|
5170 |
+
mmlu_high_school_statistics: 0.0
|
5171 |
+
mmlu_high_school_us_history: 0.0
|
5172 |
+
mmlu_high_school_world_history: 0.0
|
5173 |
+
mmlu_human_aging: 0.0
|
5174 |
+
mmlu_human_sexuality: 0.0
|
5175 |
+
mmlu_international_law: 0.0
|
5176 |
+
mmlu_jurisprudence: 0.0
|
5177 |
+
mmlu_logical_fallacies: 0.0
|
5178 |
+
mmlu_machine_learning: 0.0
|
5179 |
+
mmlu_management: 0.0
|
5180 |
+
mmlu_marketing: 0.0
|
5181 |
+
mmlu_medical_genetics: 0.0
|
5182 |
+
mmlu_miscellaneous: 0.0
|
5183 |
+
mmlu_moral_disputes: 0.0
|
5184 |
+
mmlu_moral_scenarios: 0.0
|
5185 |
+
mmlu_nutrition: 0.0
|
5186 |
+
mmlu_philosophy: 0.0
|
5187 |
+
mmlu_prehistory: 0.0
|
5188 |
+
mmlu_professional_accounting: 0.0
|
5189 |
+
mmlu_professional_law: 0.0
|
5190 |
+
mmlu_professional_medicine: 0.0
|
5191 |
+
mmlu_professional_psychology: 0.0
|
5192 |
+
mmlu_public_relations: 0.0
|
5193 |
+
mmlu_security_studies: 0.0
|
5194 |
+
mmlu_sociology: 0.0
|
5195 |
+
mmlu_us_foreign_policy: 0.0
|
5196 |
+
mmlu_virology: 0.0
|
5197 |
+
mmlu_world_religions: 0.0
|
5198 |
+
n-shot:
|
5199 |
+
mmlu: 0
|
5200 |
+
config:
|
5201 |
+
model: vllm
|
5202 |
+
model_args: pretrained=DiscoResearch/Llama3-DiscoLeo-Instruct-8B-v0.1,tensor_parallel_size=1,dtype=auto,gpu_memory_utilization=0.8,max_model_len=2048,trust_remote_code=True
|
5203 |
+
batch_size: auto
|
5204 |
+
batch_sizes: []
|
5205 |
+
bootstrap_iters: 100000
|
5206 |
+
git_hash: cddf85d
|
5207 |
+
pretty_env_info: 'PyTorch version: 2.1.2+cu121
|
5208 |
+
|
5209 |
+
Is debug build: False
|
5210 |
+
|
5211 |
+
CUDA used to build PyTorch: 12.1
|
5212 |
+
|
5213 |
+
ROCM used to build PyTorch: N/A
|
5214 |
+
|
5215 |
+
|
5216 |
+
OS: Ubuntu 22.04.3 LTS (x86_64)
|
5217 |
+
|
5218 |
+
GCC version: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
|
5219 |
+
|
5220 |
+
Clang version: Could not collect
|
5221 |
+
|
5222 |
+
CMake version: version 3.25.0
|
5223 |
+
|
5224 |
+
Libc version: glibc-2.35
|
5225 |
+
|
5226 |
+
|
5227 |
+
Python version: 3.10.12 (main, Jun 11 2023, 05:26:28) [GCC 11.4.0] (64-bit
|
5228 |
+
runtime)
|
5229 |
+
|
5230 |
+
Python platform: Linux-6.5.0-35-generic-x86_64-with-glibc2.35
|
5231 |
+
|
5232 |
+
Is CUDA available: True
|
5233 |
+
|
5234 |
+
CUDA runtime version: 11.8.89
|
5235 |
+
|
5236 |
+
CUDA_MODULE_LOADING set to: LAZY
|
5237 |
+
|
5238 |
+
GPU models and configuration: GPU 0: NVIDIA GeForce RTX 4090
|
5239 |
+
|
5240 |
+
Nvidia driver version: 550.54.15
|
5241 |
+
|
5242 |
+
cuDNN version: Could not collect
|
5243 |
+
|
5244 |
+
HIP runtime version: N/A
|
5245 |
+
|
5246 |
+
MIOpen runtime version: N/A
|
5247 |
+
|
5248 |
+
Is XNNPACK available: True
|
5249 |
+
|
5250 |
+
|
5251 |
+
CPU:
|
5252 |
+
|
5253 |
+
Architecture: x86_64
|
5254 |
+
|
5255 |
+
CPU op-mode(s): 32-bit, 64-bit
|
5256 |
+
|
5257 |
+
Address sizes: 52 bits physical, 57 bits virtual
|
5258 |
+
|
5259 |
+
Byte Order: Little Endian
|
5260 |
+
|
5261 |
+
CPU(s): 64
|
5262 |
+
|
5263 |
+
On-line CPU(s) list: 0-63
|
5264 |
+
|
5265 |
+
Vendor ID: AuthenticAMD
|
5266 |
+
|
5267 |
+
Model name: AMD EPYC 9354 32-Core Processor
|
5268 |
+
|
5269 |
+
CPU family: 25
|
5270 |
+
|
5271 |
+
Model: 17
|
5272 |
+
|
5273 |
+
Thread(s) per core: 2
|
5274 |
+
|
5275 |
+
Core(s) per socket: 32
|
5276 |
+
|
5277 |
+
Socket(s): 1
|
5278 |
+
|
5279 |
+
Stepping: 1
|
5280 |
+
|
5281 |
+
Frequency boost: enabled
|
5282 |
+
|
5283 |
+
CPU max MHz: 3799.0720
|
5284 |
+
|
5285 |
+
CPU min MHz: 1500.0000
|
5286 |
+
|
5287 |
+
BogoMIPS: 6499.74
|
5288 |
+
|
5289 |
+
Flags: fpu vme de pse tsc msr pae mce cx8 apic
|
5290 |
+
sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx
|
5291 |
+
mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good amd_lbr_v2 nopl
|
5292 |
+
nonstop_tsc cpuid extd_apicid aperfmperf rapl pni pclmulqdq monitor ssse3
|
5293 |
+
fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand
|
5294 |
+
lahf_lm cmp_legacy svm extapic cr8_legacy abm sse4a misalignsse 3dnowprefetch
|
5295 |
+
osvw ibs skinit wdt tce topoext perfctr_core perfctr_nb bpext perfctr_llc
|
5296 |
+
mwaitx cpb cat_l3 cdp_l3 invpcid_single hw_pstate ssbd mba perfmon_v2 ibrs
|
5297 |
+
ibpb stibp ibrs_enhanced vmmcall fsgsbase bmi1 avx2 smep bmi2 erms invpcid
|
5298 |
+
cqm rdt_a avx512f avx512dq rdseed adx smap avx512ifma clflushopt clwb avx512cd
|
5299 |
+
sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc
|
5300 |
+
cqm_mbm_total cqm_mbm_local avx512_bf16 clzero irperf xsaveerptr rdpru wbnoinvd
|
5301 |
+
amd_ppin cppc arat npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid
|
5302 |
+
decodeassists pausefilter pfthreshold avic v_vmsave_vmload vgif x2avic v_spec_ctrl
|
5303 |
+
vnmi avx512vbmi umip pku ospke avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni
|
5304 |
+
avx512_bitalg avx512_vpopcntdq la57 rdpid overflow_recov succor smca fsrm
|
5305 |
+
flush_l1d
|
5306 |
+
|
5307 |
+
Virtualization: AMD-V
|
5308 |
+
|
5309 |
+
L1d cache: 1 MiB (32 instances)
|
5310 |
+
|
5311 |
+
L1i cache: 1 MiB (32 instances)
|
5312 |
+
|
5313 |
+
L2 cache: 32 MiB (32 instances)
|
5314 |
+
|
5315 |
+
L3 cache: 256 MiB (8 instances)
|
5316 |
+
|
5317 |
+
NUMA node(s): 1
|
5318 |
+
|
5319 |
+
NUMA node0 CPU(s): 0-63
|
5320 |
+
|
5321 |
+
Vulnerability Gather data sampling: Not affected
|
5322 |
+
|
5323 |
+
Vulnerability Itlb multihit: Not affected
|
5324 |
+
|
5325 |
+
Vulnerability L1tf: Not affected
|
5326 |
+
|
5327 |
+
Vulnerability Mds: Not affected
|
5328 |
+
|
5329 |
+
Vulnerability Meltdown: Not affected
|
5330 |
+
|
5331 |
+
Vulnerability Mmio stale data: Not affected
|
5332 |
+
|
5333 |
+
Vulnerability Retbleed: Not affected
|
5334 |
+
|
5335 |
+
Vulnerability Spec rstack overflow: Mitigation; Safe RET
|
5336 |
+
|
5337 |
+
Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass
|
5338 |
+
disabled via prctl
|
5339 |
+
|
5340 |
+
Vulnerability Spectre v1: Mitigation; usercopy/swapgs barriers
|
5341 |
+
and __user pointer sanitization
|
5342 |
+
|
5343 |
+
Vulnerability Spectre v2: Mitigation; Enhanced / Automatic IBRS;
|
5344 |
+
IBPB conditional; STIBP always-on; RSB filling; PBRSB-eIBRS Not affected;
|
5345 |
+
BHI Not affected
|
5346 |
+
|
5347 |
+
Vulnerability Srbds: Not affected
|
5348 |
+
|
5349 |
+
Vulnerability Tsx async abort: Not affected
|
5350 |
+
|
5351 |
+
|
5352 |
Versions of relevant libraries:
|
5353 |
|
5354 |
[pip3] numpy==1.24.1
|