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- lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_hi/mmlu_hi_high_school_psychology.yaml +147 -0
- lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_hi/mmlu_hi_prehistory.yaml +142 -0
- lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_hi/mmlu_hi_professional_accounting.yaml +152 -0
- lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_hi/mmlu_hi_professional_law.yaml +434 -0
- lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_hi/mmlu_hi_professional_medicine.yaml +261 -0
- lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_hi/mmlu_hi_professional_psychology.yaml +170 -0
- lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_hi/mmlu_hi_public_relations.yaml +122 -0
- lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_hi/mmlu_hi_sociology.yaml +134 -0
- lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_hi/mmlu_hi_us_foreign_policy.yaml +138 -0
- lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_hi/mmlu_hi_world_religions.yaml +68 -0
- lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_hi/utils.py +104 -0
- lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/_mmlu_it_humanities.yaml +11 -0
- lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/_mmlu_it_other.yaml +11 -0
- lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_astronomy.yaml +65 -0
- lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_clinical_knowledge.yaml +54 -0
- lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_college_biology.yaml +58 -0
- lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_college_chemistry.yaml +59 -0
- lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_college_computer_science.yaml +81 -0
- lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_college_mathematics.yaml +64 -0
- lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_college_physics.yaml +62 -0
- lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_conceptual_physics.yaml +53 -0
- lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_econometrics.yaml +64 -0
- lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_elementary_mathematics.yaml +58 -0
- lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_formal_logic.yaml +63 -0
- lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_global_facts.yaml +57 -0
- lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_high_school_chemistry.yaml +58 -0
- lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_high_school_computer_science.yaml +83 -0
- lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_high_school_european_history.yaml +194 -0
- lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_high_school_geography.yaml +58 -0
- lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_high_school_government_and_politics.yaml +60 -0
- lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_high_school_macroeconomics.yaml +52 -0
- lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_high_school_mathematics.yaml +61 -0
- lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_high_school_microeconomics.yaml +54 -0
- lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_high_school_physics.yaml +62 -0
- lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_high_school_psychology.yaml +63 -0
- lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_high_school_statistics.yaml +72 -0
- lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_high_school_us_history.yaml +163 -0
- lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_high_school_world_history.yaml +104 -0
- lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_human_aging.yaml +53 -0
- lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_human_sexuality.yaml +53 -0
- lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_international_law.yaml +71 -0
- lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_jurisprudence.yaml +54 -0
- lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_logical_fallacies.yaml +60 -0
- lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_machine_learning.yaml +74 -0
- lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_management.yaml +51 -0
- lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_marketing.yaml +59 -0
- lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_medical_genetics.yaml +50 -0
- lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_miscellaneous.yaml +51 -0
- lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_moral_disputes.yaml +59 -0
- lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_moral_scenarios.yaml +70 -0
lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_hi/mmlu_hi_high_school_psychology.yaml
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| 1 |
+
fewshot_config:
|
| 2 |
+
sampler: first_n
|
| 3 |
+
samples:
|
| 4 |
+
- input_choice_list:
|
| 5 |
+
A: "\u090F\u0915 \u092E\u091C\u092C\u0942\u0924 \u0938\u0941\u092A\u0930\u0907\
|
| 6 |
+
\u0917\u094B."
|
| 7 |
+
B: "\u0915\u092E \u0906\u0924\u094D\u092E \u0938\u092E\u094D\u092E\u093E\u0928\
|
| 8 |
+
\u0964"
|
| 9 |
+
C: "\u0915\u092E \u0906\u0924\u094D\u092E-\u092A\u094D\u0930\u092D\u093E\u0935\
|
| 10 |
+
\u0915\u093E\u0930\u093F\u0924\u093E."
|
| 11 |
+
D: "\u0928\u093F\u092F\u0902\u0924\u094D\u0930\u0923 \u0915\u093E \u090F\u0915\
|
| 12 |
+
\ \u0906\u0902\u0924\u0930\u093F\u0915 \u0938\u094D\u0925\u093E\u0928."
|
| 13 |
+
input_correct_responses:
|
| 14 |
+
- D
|
| 15 |
+
input_question: "\u0905\u0928\u0940 \u0915\u093E \u092E\u093E\u0928\u0928\u093E\
|
| 16 |
+
\ \u0939\u0948 \u0915\u093F \u0909\u0938\u0915\u0947 \u0938\u093E\u0925 \u091C\
|
| 17 |
+
\u094B \u0939\u094B\u0924\u093E \u0939\u0948 \u0909\u0938\u092E\u0947\u0902\
|
| 18 |
+
\ \u0909\u0938\u0915\u093E \u0926\u0943\u0937\u094D\u091F\u093F\u0915\u094B\u0923\
|
| 19 |
+
\ \u0914\u0930 \u0935\u094D\u092F\u0935\u0939\u093E\u0930 \u0915\u0947\u0902\
|
| 20 |
+
\u0926\u094D\u0930\u0940\u092F \u092D\u0942\u092E\u093F\u0915\u093E \u0928\u093F\
|
| 21 |
+
\u092D\u093E\u0924\u093E \u0939\u0948\u0964 \u0910\u0938\u0940 \u092E\u093E\u0928\
|
| 22 |
+
\u094D\u092F\u0924\u093E \u091C\u0941\u0921\u093C\u0940 \u0939\u094B\u0928\u0947\
|
| 23 |
+
\ \u0915\u0940 \u0938\u0902\u092D\u093E\u0935\u0928\u093E \u0939\u0948"
|
| 24 |
+
- input_choice_list:
|
| 25 |
+
A: "\u0917\u094D\u0930\u093E\u0939\u0915 \u0915\u0940 \u0935\u0930\u094D\u0924\
|
| 26 |
+
\u092E\u093E\u0928 \u0938\u092E\u0938\u094D\u092F\u093E\u0913\u0902 \u0915\
|
| 27 |
+
\u0947 \u0915\u093E\u0930\u0923\u094B\u0902 \u0914\u0930 \u0938\u092E\u093E\
|
| 28 |
+
\u0927\u093E\u0928\u094B\u0902 \u0915\u0940 \u092A\u0939\u091A\u093E\u0928\
|
| 29 |
+
\ \u0915\u0930\u0928\u093E"
|
| 30 |
+
B: "\u0915\u093F\u0938\u0940 \u0938\u092E\u0938\u094D\u092F\u093E \u0938\u0947\
|
| 31 |
+
\ \u0928\u093F\u092A\u091F\u0928\u0947 \u092E\u0947\u0902 \u092A\u0930\u093E\
|
| 32 |
+
\u092E\u0930\u094D\u0936\u0926\u093E\u0924\u093E \u0915\u0940 \u0915\u0920\
|
| 33 |
+
\u093F\u0928\u093E\u0907\u092F\u094B\u0902 \u0915\u0947 \u0915\u093E\u0930\
|
| 34 |
+
\u0923\u094B\u0902 \u0915\u0940 \u092A\u0939\u091A\u093E\u0928 \u0915\u0930\
|
| 35 |
+
\u0928\u093E \u0914\u0930 \u0909\u0928\u094D\u0939\u0947\u0902 \u0926\u0942\
|
| 36 |
+
\u0930 \u0915\u0930\u0928\u093E"
|
| 37 |
+
C: "\u092A\u094D\u0930\u092D\u093E\u0935\u0940 \u0928\u093F\u0930\u094D\u0923\
|
| 38 |
+
\u092F \u0932\u0947\u0928\u0947 \u092E\u0947\u0902 \u0938\u0915\u094D\u0937\
|
| 39 |
+
\u092E \u092C\u0928\u093E\u0928\u0947 \u0915\u0947 \u0932\u093F\u090F \u092A\
|
| 40 |
+
\u094D\u0930\u093E\u0927\u093F\u0915\u093E\u0930 \u0915\u093E \u090F\u0915\
|
| 41 |
+
\ \u092A\u0926\u093E\u0928\u0941\u0915\u094D\u0930\u092E \u0938\u094D\u0925\
|
| 42 |
+
\u093E\u092A\u093F\u0924 \u0915\u0930\u0928\u093E"
|
| 43 |
+
D: "\u0915\u094C\u0936\u0932 \u0915\u0940 \u0915\u092E\u0940 \u0915\u094B \u0926\
|
| 44 |
+
\u0942\u0930 \u0915\u0930\u0928\u0947 \u0915\u0947 \u0932\u093F\u090F \u0938\
|
| 45 |
+
\u0932\u093E\u0939\u0915\u093E\u0930 \u0915\u0947 \u0932\u093F\u090F \u090F\
|
| 46 |
+
\u0915\u0932, \u0905\u091A\u094D\u091B\u0940 \u0924\u0930\u0939 \u0938\u0947\
|
| 47 |
+
\ \u092A\u0930\u093F\u092D\u093E\u0937\u093F\u0924 \u0914\u0930 \u0938\u094D\
|
| 48 |
+
\u092A\u0937\u094D\u091F \u0915\u093E\u0930\u094D\u0930\u0935\u093E\u0908\
|
| 49 |
+
\ \u0915\u093E \u092A\u093E\u0920\u094D\u092F\u0915\u094D\u0930\u092E \u092A\
|
| 50 |
+
\u094D\u0930\u0938\u094D\u0924\u0941\u0924 \u0915\u0930\u0928\u093E"
|
| 51 |
+
input_correct_responses:
|
| 52 |
+
- B
|
| 53 |
+
input_question: "\u092A\u0930\u093E\u092E\u0930\u094D\u0936\u0926\u093E\u0924\u093E\
|
| 54 |
+
-\u0915\u0947\u0902\u0926\u094D\u0930\u093F\u0924 \u0915\u0947\u0938 \u092A\u0930\
|
| 55 |
+
\u093E\u092E\u0930\u094D\u0936 \u0915\u0947 \u0915\u0948\u092A\u0932\u0928 \u092E\
|
| 56 |
+
\u0949\u0921\u0932 \u0915\u0947 \u0905\u0928\u0941\u0938\u093E\u0930, \u0938\
|
| 57 |
+
\u0932\u093E\u0939\u0915\u093E\u0930 \u092E\u0941\u0916\u094D\u092F \u0930\u0942\
|
| 58 |
+
\u092A \u0938\u0947 \u0907\u0938\u092E\u0947\u0902 \u0930\u0941\u091A\u093F\
|
| 59 |
+
\ \u0930\u0916\u0924\u093E \u0939\u0948"
|
| 60 |
+
- input_choice_list:
|
| 61 |
+
A: "\u0938\u0902\u0926\u0947\u0936 \u0925\u0948\u0932\u0947\u092E\u0938 \u0938\
|
| 62 |
+
\u0947 \u0938\u0940\u0927\u0947 \u0905\u092E\u093F\u0917\u0921\u093E\u0932\
|
| 63 |
+
\u093E \u0915\u094B \u092D\u0947\u091C\u0947 \u091C\u093E\u0924\u0947 \u0939\
|
| 64 |
+
\u0948\u0902\u0964"
|
| 65 |
+
B: "\u0938\u0902\u0926\u0947\u0936 \u0925\u0948\u0932\u0947\u092E\u0938 \u0938\
|
| 66 |
+
\u0947 "\u0915\u094D\u092F\u093E" \u0914\u0930 "\u0915\u0939\
|
| 67 |
+
\u093E\u0902" \u092E\u093E\u0930\u094D\u0917 \u092A\u0930 \u092D\u0947\
|
| 68 |
+
\u091C\u0947 \u091C\u093E\u0924\u0947 \u0939\u0948\u0902\u0964"
|
| 69 |
+
C: "\u0938\u0902\u0926\u0947\u0936 \u092A\u0948\u0930\u093E\u0938\u093F\u092E\
|
| 70 |
+
\u094D\u092A\u0947\u0925\u0947\u091F\u093F\u0915 \u0924\u0902\u0924\u094D\u0930\
|
| 71 |
+
\u093F\u0915\u093E \u0924\u0902\u0924\u094D\u0930 \u0938\u0947 \u0938\u0947\
|
| 72 |
+
\u0930\u0947\u092C\u094D\u0930\u0932 \u0915\u0949\u0930\u094D\u091F\u0947\u0915\
|
| 73 |
+
\u094D\u0938 \u0924\u0915 \u092D\u0947\u091C\u0947 \u091C\u093E\u0924\u0947\
|
| 74 |
+
\ \u0939\u0948\u0902\u0964"
|
| 75 |
+
D: "\u0938\u0902\u0926\u0947\u0936 \u0932\u0932\u093E\u091F \u0932\u094B\u092C\
|
| 76 |
+
\ \u0938\u0947 \u092A\u093F\u091F\u094D\u092F\u0942\u091F\u0930\u0940 \u0917\
|
| 77 |
+
\u094D\u0930\u0902\u0925\u093F \u0924\u0915 \u092D\u0947\u091C\u0947 \u091C\
|
| 78 |
+
\u093E\u0924\u0947 \u0939\u0948\u0902\u0964"
|
| 79 |
+
input_correct_responses:
|
| 80 |
+
- A
|
| 81 |
+
input_question: "\u0938\u092E\u0941\u0926\u094D\u0930 \u092E\u0947\u0902 \u0924\
|
| 82 |
+
\u0948\u0930\u0924\u0947 \u0938\u092E\u092F, \u0907\u0935\u093E\u0928 \u092A\
|
| 83 |
+
\u093E\u0928\u0940 \u092E\u0947\u0902 \u090F\u0915 \u0905\u0902\u0927\u0947\u0930\
|
| 84 |
+
\u0940 \u091B\u093E\u092F\u093E \u0938\u0947 \u0921\u0930 \u091C\u093E\u0924\
|
| 85 |
+
\u093E \u0939\u0948, \u0907\u0938\u0938\u0947 \u092A\u0939\u0932\u0947 \u0915\
|
| 86 |
+
\u093F \u0909\u0938\u0947 \u092F\u0939 \u092A\u0939\u091A\u093E\u0928\u0928\u0947\
|
| 87 |
+
\ \u0915\u093E \u092E\u094C\u0915\u093E \u092E\u093F\u0932\u0947 \u0915\u093F\
|
| 88 |
+
\ \u0935\u0939 \u091B\u093E\u092F\u093E \u0915\u094D\u092F\u093E \u0939\u0948\
|
| 89 |
+
\u0964 \u092D\u092F \u0915\u0940 \u0907\u0938 \u0918\u091F\u0928\u093E \u0915\
|
| 90 |
+
\u0947 \u0926\u094C\u0930\u093E\u0928 \u0939\u094B\u0928\u0947 \u0935\u093E\u0932\
|
| 91 |
+
\u0947 \u0938\u093F\u0928\u0948\u092A\u094D\u091F\u093F\u0915 \u0915\u0928\u0947\
|
| 92 |
+
\u0915\u094D\u0936\u0928\u094B\u0902 \u0915\u094B \u0928\u093F\u092E\u094D\u0928\
|
| 93 |
+
\u0932\u093F\u0916\u093F\u0924 \u092E\u0947\u0902 \u0938\u0947 \u0915\u093F\u0938\
|
| 94 |
+
\u0915\u0947 \u0926\u094D\u0935\u093E\u0930\u093E \u0938\u092C\u0938\u0947 \u0905\
|
| 95 |
+
\u091A\u094D\u091B\u093E \u0935\u0930\u094D\u0923\u0928 \u0915\u093F\u092F\u093E\
|
| 96 |
+
\ \u0917\u092F\u093E \u0939\u0948?"
|
| 97 |
+
- input_choice_list:
|
| 98 |
+
A: "\u092C\u091A\u094D\u091A\u0947 \u0915\u094B \u0928\u090F \u0935\u093E\u0924\
|
| 99 |
+
\u093E\u0935\u0930\u0923 \u092E\u0947\u0902 \u092A\u0930\u0940\u0915\u094D\
|
| 100 |
+
\u0937\u0923 \u0905\u0935\u0927\u093F \u0926\u0947\u0902"
|
| 101 |
+
B: "\u092E\u093E\u0924\u093E-\u092A\u093F\u0924\u093E \u0915\u094B \u0932\u093F\
|
| 102 |
+
\u0916\u093F\u0924 \u0930\u0942\u092A \u0938\u0947 \u0938\u0942\u091A\u093F\
|
| 103 |
+
\u0924 \u0915\u0930\u0947\u0902"
|
| 104 |
+
C: "\u0938\u094D\u0915\u0942\u0932 \u092C\u094B\u0930\u094D\u0921 \u0915\u0940\
|
| 105 |
+
\ \u092E\u0902\u091C\u0942\u0930\u0940 \u092A\u094D\u0930\u093E\u092A\u094D\
|
| 106 |
+
\u0924 \u0915\u0930\u0947\u0902"
|
| 107 |
+
D: "\u092E\u093E\u0924\u093E-\u092A\u093F\u0924\u093E \u0915\u0940 \u0938\u0939\
|
| 108 |
+
\u092E\u0924\u093F \u092A\u094D\u0930\u093E\u092A\u094D\u0924 \u0915\u0930\
|
| 109 |
+
\u0947\u0902"
|
| 110 |
+
input_correct_responses:
|
| 111 |
+
- B
|
| 112 |
+
input_question: "\u0935\u093F\u0915\u0932\u093E\u0902\u0917 \u0935\u094D\u092F\
|
| 113 |
+
\u0915\u094D\u0924\u093F \u0936\u093F\u0915\u094D\u0937\u093E \u0938\u0941\u0927\
|
| 114 |
+
\u093E\u0930 \u0905\u0927\u093F\u0928\u093F\u092F\u092E \u0915\u0947 \u0905\u0928\
|
| 115 |
+
\u0941\u0938\u093E\u0930, \u090F\u0915 \u0936\u0948\u0915\u094D\u0937\u093F\u0915\
|
| 116 |
+
\ \u090F\u091C\u0947\u0902\u0938\u0940 \u0915\u094B \u0935\u093F\u0915\u0932\
|
| 117 |
+
\u093E\u0902\u0917 \u091B\u093E\u0924\u094D\u0930 \u0915\u0947 \u0936\u0948\u0915\
|
| 118 |
+
\u094D\u0937\u093F\u0915 \u092A\u094D\u0932\u0947\u0938\u092E\u0947\u0902\u091F\
|
| 119 |
+
\ \u0915\u094B \u092C\u0926\u0932\u0928\u0947 \u0938\u0947 \u092A\u0939\u0932\
|
| 120 |
+
\u0947 \u0928\u093F\u092E\u094D\u0928\u0932\u093F\u0916\u093F\u0924 \u092E\u0947\
|
| 121 |
+
\u0902 \u0938\u0947 \u0915\u094D\u092F\u093E \u0915\u0930\u0928\u093E \u091A\
|
| 122 |
+
\u093E\u0939\u093F\u090F?"
|
| 123 |
+
- input_choice_list:
|
| 124 |
+
A: "\u0938\u093E\u092E\u093E\u091C\u093F\u0915-\u0938\u093E\u0902\u0938\u094D\
|
| 125 |
+
\u0915\u0943\u0924\u093F\u0915"
|
| 126 |
+
B: "\u0915\u094D\u0932\u0940\u0928\u093F\u0915\u0932"
|
| 127 |
+
C: "\u0938\u0902\u091C\u094D\u091E\u093E\u0928\u093E\u0924\u094D\u092E\u0915"
|
| 128 |
+
D: "\u0935\u094D\u092F\u0935\u0939\u093E\u0930\u0935\u093E\u0926\u0940"
|
| 129 |
+
input_correct_responses:
|
| 130 |
+
- C
|
| 131 |
+
input_question: "\u092A\u093E\u0938\u094D\u0915\u0932 \u0909\u0928 \u092A\u094D\
|
| 132 |
+
\u0930\u0938\u0902\u0938\u094D\u0915\u0930\u0923 \u0930\u0923\u0928\u0940\u0924\
|
| 133 |
+
\u093F\u092F\u094B\u0902 \u092E\u0947\u0902 \u0930\u0941\u091A\u093F \u0930\u0916\
|
| 134 |
+
\u0924\u093E \u0939\u0948 \u091C\u093F\u0928\u0915\u093E \u0909\u092A\u092F\u094B\
|
| 135 |
+
\u0917 \u092C\u091A\u094D\u091A\u0947 \u0928\u0908 \u091C\u093E\u0928\u0915\u093E\
|
| 136 |
+
\u0930\u0940 \u0938\u0940\u0916\u0928\u0947 \u0915\u0947 \u0932\u093F\u090F\
|
| 137 |
+
\ \u0915\u0930\u0924\u0947 \u0939\u0948\u0902\u0964 \u092A\u093E\u0938\u094D\
|
| 138 |
+
\u0915\u0932 \u0915\u094B \u0915\u093F\u0938 \u092A\u094D\u0930\u0915\u093E\u0930\
|
| 139 |
+
\ \u0915\u0947 \u092E\u0928\u094B\u0935\u0948\u091C\u094D\u091E\u093E\u0928\u093F\
|
| 140 |
+
\u0915 \u0915\u0947 \u0930\u0942\u092A \u092E\u0947\u0902 \u0935\u0930\u094D\
|
| 141 |
+
\u0917\u0940\u0915\u0943\u0924 \u0915\u093F\u092F\u093E \u091C\u093E\u090F\u0917\
|
| 142 |
+
\u093E?"
|
| 143 |
+
include: _continuation_template_yaml
|
| 144 |
+
process_docs: !function utils.process_docs_high_school_psychology
|
| 145 |
+
tag: mmlu_hi_llama_social_sciences_tasks
|
| 146 |
+
task: mmlu_hi_llama_high_school_psychology
|
| 147 |
+
task_alias: high_school_psychology
|
lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_hi/mmlu_hi_prehistory.yaml
ADDED
|
@@ -0,0 +1,142 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
fewshot_config:
|
| 2 |
+
sampler: first_n
|
| 3 |
+
samples:
|
| 4 |
+
- input_choice_list:
|
| 5 |
+
A: "\u0936\u0915\u094D\u0924\u093F\u0936\u093E\u0932\u0940 \u092E\u093E\u092F\
|
| 6 |
+
\u093E \u0916\u0917\u094B\u0932\u0936\u093E\u0938\u094D\u0924\u094D\u0930\u0940\
|
| 7 |
+
\ \u092A\u0941\u091C\u093E\u0930\u093F\u092F\u094B\u0902 \u0915\u094B \u0938\
|
| 8 |
+
\u0902\u0924\u0941\u0937\u094D\u091F \u0915\u0930\u0947\u0902\u0964"
|
| 9 |
+
B: "\u0906\u092E \u0932\u094B\u0917\u094B\u0902 \u0915\u0947 \u092A\u094D\u0930\
|
| 10 |
+
\u0924\u093F \u0905\u092A\u0928\u0940 \u0909\u0926\u093E\u0930\u0924\u093E\
|
| 11 |
+
\ \u092A\u094D\u0930\u0926\u0930\u094D\u0936\u093F\u0924 \u0915\u0930\u0947\
|
| 12 |
+
\u0902, \u0915\u094D\u092F\u094B\u0902\u0915\u093F \u0909\u0928\u094D\u0939\
|
| 13 |
+
\u0947\u0902 \u092E\u0902\u0926\u093F\u0930\u094B\u0902 \u092E\u0947\u0902\
|
| 14 |
+
\ \u0930\u0939\u0928\u0947 \u0915\u0940 \u0905\u0928\u0941\u092E\u0924\u093F\
|
| 15 |
+
\ \u0925\u0940\u0964"
|
| 16 |
+
C: "\u0936\u0924\u094D\u0930\u0941\u0913\u0902 \u0915\u094B, \u0935\u093F\u0936\
|
| 17 |
+
\u0947\u0937\u0915\u0930 \u0938\u094D\u092A\u0947\u0928\u093F\u092F\u094B\u0902\
|
| 18 |
+
\ \u0915\u094B, \u0921\u0930\u093E \u0926\u0947\u0902\u0964"
|
| 19 |
+
D: "\u0909\u0938\u0915\u0947 \u0930\u093E\u091C\u0924\u094D\u0935 \u0915\u094B\
|
| 20 |
+
\ \u0935\u0948\u0927 \u092C\u0928\u093E\u0928\u093E, \u0915\u094D\u092F\u094B\
|
| 21 |
+
\u0902\u0915\u093F \u0909\u0938\u0915\u0947 \u092A\u093F\u0924\u093E \u0930\
|
| 22 |
+
\u093E\u091C\u0938\u0940 \u0928\u0939\u0940\u0902 \u0925\u0947\u0964"
|
| 23 |
+
input_correct_responses:
|
| 24 |
+
- D
|
| 25 |
+
input_question: "\u092E\u0939\u093E\u0928 \u092E\u093E\u092F\u093E \u0930\u093E\
|
| 26 |
+
\u091C\u093E \u092A\u0948\u0915\u0932 \u0928\u0947 \u092A\u0948\u0932\u0947\u0928\
|
| 27 |
+
\u0915 \u0936\u0939\u0930 \u092E\u0947\u0902 \u092E\u0902\u0926\u093F\u0930\u094B\
|
| 28 |
+
\u0902 \u0915\u093E \u0928\u093F\u0930\u094D\u092E\u093E\u0923 \u0915\u0930\u0935\
|
| 29 |
+
\u093E\u092F\u093E:"
|
| 30 |
+
- input_choice_list:
|
| 31 |
+
A: "\u092A\u094D\u0930\u093E\u0930\u0902\u092D\u093F\u0915 \u0930\u093E\u091C\
|
| 32 |
+
\u094D\u092F\u094B\u0902 \u0915\u0947 \u0909\u0926\u092F \u0915\u0947 \u0938\
|
| 33 |
+
\u092E\u093E\u0928 \u0938\u094D\u0925\u093F\u0924\u093F\u092F\u094B\u0902\
|
| 34 |
+
\ \u0935\u093E\u0932\u093E \u092E\u093F\u0938\u093F\u0938\u093F\u092A\u093F\
|
| 35 |
+
\u092F\u093E\u0908 \u0938\u092D\u094D\u092F\u0924\u093E \u0915\u093E \u090F\
|
| 36 |
+
\u0915 \u0915\u0947\u0902\u0926\u094D\u0930\u0964"
|
| 37 |
+
B: "\u0938\u092E\u0924\u093E\u0935\u093E\u0926\u0940 \u0935\u0928\u0935\u093E\
|
| 38 |
+
\u0938\u093F\u092F\u094B\u0902 \u0915\u0947 \u092E\u0942\u0932 \u0905\u092E\
|
| 39 |
+
\u0947\u0930\u093F\u0915\u0940 \u0938\u092E\u093E\u091C \u092E\u0947\u0902\
|
| 40 |
+
\ \u0905\u0927\u093F\u0915\u093E\u0930 \u0915\u0940 \u0938\u0940\u092E\u093E\
|
| 41 |
+
\u090F\u0901\u0964"
|
| 42 |
+
C: "1500 \u0908. \u0924\u0915 \u090F\u0915 \u0938\u093E\u0927\u093E\u0930\u0923\
|
| 43 |
+
\ \u092E\u0941\u0916\u093F\u092F\u093E\u0924\u0902\u0924\u094D\u0930 \u092F\
|
| 44 |
+
\u093E \u0936\u093E\u092F\u0926 \u090F\u0915 \u091C\u091F\u093F\u0932 \u092E\
|
| 45 |
+
\u0941\u0916\u093F\u092F\u093E\u0924\u0902\u0924\u094D\u0930 \u0935\u093F\u0915\
|
| 46 |
+
\u0938\u093F\u0924 \u0939\u094B \u091A\u0941\u0915\u093E \u0925\u093E\u0964"
|
| 47 |
+
D: "\u092E\u093F\u0938\u093F\u0938\u093F\u092A\u093F\u092F\u093E\u0908 \u0938\
|
| 48 |
+
\u092D\u094D\u092F\u0924\u093E \u0915\u093E \u090F\u0915 \u0915\u0947\u0902\
|
| 49 |
+
\u0926\u094D\u0930 \u091C\u093F\u0938\u0915\u0940 \u0938\u094D\u0925\u093F\
|
| 50 |
+
\u0924\u093F\u092F\u093E\u0901 \u0909\u0924\u094D\u0924\u0930\u0940 \u0905\
|
| 51 |
+
\u092E\u0947\u0930\u093F\u0915\u093E \u0915\u0947 \u0909\u0924\u094D\u0924\
|
| 52 |
+
\u0930-\u092A\u0936\u094D\u091A\u093F\u092E\u0940 \u0924\u091F \u0915\u0947\
|
| 53 |
+
\ \u0938\u092E\u093E\u091C\u094B\u0902 \u0915\u0947 \u0938\u092E\u093E\u0928\
|
| 54 |
+
\ \u0939\u0948\u0902\u0964"
|
| 55 |
+
input_correct_responses:
|
| 56 |
+
- A
|
| 57 |
+
input_question: "\u091F\u093F\u092E\u094B\u0925\u0940 \u092A\u0949\u0915\u0947\
|
| 58 |
+
\u091F\u091F \u0915\u0947 \u0905\u0928\u0941\u0938\u093E\u0930, \u0915\u093E\
|
| 59 |
+
\u0939\u094B\u0915\u093F\u092F\u093E \u092E\u0947\u0902 \u0938\u093E\u092E\u093E\
|
| 60 |
+
\u091C\u093F\u0915 \u0938\u094D\u0924\u0930\u0940\u0915\u0930\u0923 \u0914\u0930\
|
| 61 |
+
\ \u0930\u093E\u091C\u0928\u0940\u0924\u093F\u0915 \u0936\u0915\u094D\u0924\u093F\
|
| 62 |
+
\ \u0915\u0947 \u0938\u093E\u0915\u094D\u0937\u094D\u092F \u092C\u0924\u093E\
|
| 63 |
+
\u0924\u0947 \u0939\u0948\u0902:"
|
| 64 |
+
- input_choice_list:
|
| 65 |
+
A: "\u0915\u093F\u0938\u0940 \u092A\u094D\u0930\u0915\u093E\u0930 \u0915\u0940\
|
| 66 |
+
\ \u092A\u094D\u0930\u0932\u092F, \u091C\u0948\u0938\u0947 \u092D\u0942\u0915\
|
| 67 |
+
\u0902\u092A, \u091C\u094D\u0935\u093E\u0932\u093E\u092E\u0941\u0916\u0940\
|
| 68 |
+
\ \u092F\u093E \u0938\u0941\u0928\u093E\u092E\u0940\u0964"
|
| 69 |
+
B: "\u0915\u093E\u091F \u0915\u0930 \u091C\u0932\u093E\u0913 \u0915\u0943\u0937\
|
| 70 |
+
\u093F \u0924\u0915\u0928\u0940\u0915\u094B\u0902 \u0915\u0947 \u092A\u0930\
|
| 71 |
+
\u093F\u0923\u093E\u092E\u0938\u094D\u0935\u0930\u0942\u092A \u092A\u093E\u0930\
|
| 72 |
+
\u093F\u0938\u094D\u0925\u093F\u0924\u093F\u0915 \u0915\u094D\u0937\u0930\u0923\
|
| 73 |
+
\u0964"
|
| 74 |
+
C: "\u092A\u0921\u093C\u094B\u0938\u0940 \u092E\u093E\u092F\u093E \u0936\u0939\
|
| 75 |
+
\u0930-\u0930\u093E\u091C\u094D\u092F\u094B\u0902 \u0915\u0947 \u092C\u0940\
|
| 76 |
+
\u091A \u0905\u0902\u0924\u0939\u0940\u0928 \u092F\u0941\u0926\u094D\u0927\
|
| 77 |
+
\u0964"
|
| 78 |
+
D: "\u0905\u0902\u0924\u0930-\u092A\u094D\u0930\u091C\u0928\u0928 \u0915\u0940\
|
| 79 |
+
\ \u092A\u094D\u0930\u0925\u093E\u0913\u0902 \u0915\u0947 \u0915\u093E\u0930\
|
| 80 |
+
\u0923 \u091C\u0928\u094D\u092E\u091C\u093E\u0924 \u0935\u093F\u0915\u093E\
|
| 81 |
+
\u0930\u094B\u0902 \u092E\u0947\u0902 \u092D\u093E\u0930\u0940 \u0935\u0943\
|
| 82 |
+
\u0926\u094D\u0927\u093F \u0939\u0941\u0908\u0964"
|
| 83 |
+
input_correct_responses:
|
| 84 |
+
- B
|
| 85 |
+
input_question: "\u0936\u094B\u0927\u0915\u0930\u094D\u0924\u093E \u0905\u092C\
|
| 86 |
+
\ \u092E\u093E\u0928\u0924\u0947 \u0939\u0948\u0902 \u0915\u093F \u092E\u093E\
|
| 87 |
+
\u092F\u093E \u0915\u093E \u092A\u0924\u0928 \u092E\u0941\u0916\u094D\u092F\u0924\
|
| 88 |
+
\u0903 \u0928\u093F\u092E\u094D\u0928 \u0915\u093E\u0930\u0923\u094B\u0902 \u0938\
|
| 89 |
+
\u0947 \u0939\u0941\u0906:"
|
| 90 |
+
- input_choice_list:
|
| 91 |
+
A: "\u092C\u0921\u093C\u0940 \u092E\u093E\u0924\u094D\u0930\u093E \u092E\u0947\
|
| 92 |
+
\u0902 \u092A\u094D\u0930\u091C\u093E\u0924\u093F\u092F\u094B\u0902 \u0915\
|
| 93 |
+
\u0940 \u0935\u093F\u0935\u093F\u0927\u0924\u093E, \u092F\u093E \u090F\u0915\
|
| 94 |
+
\ \u0939\u0940 \u092A\u094D\u0930\u091C\u093E\u0924\u093F \u091C\u093F\u0938\
|
| 95 |
+
\u0928\u0947 \u092C\u0939\u0941\u0924 \u0905\u0927\u093F\u0915 \u0935\u093F\
|
| 96 |
+
\u0935\u093F\u0927\u0924\u093E \u092A\u094D\u0930\u0926\u0930\u094D\u0936\u093F\
|
| 97 |
+
\u0924 \u0915\u0940\u0964"
|
| 98 |
+
B: "\u0907\u0938 \u0905\u0935\u0927\u093F \u0915\u0947 \u0926\u094C\u0930\u093E\
|
| 99 |
+
\u0928 \u092A\u094D\u0930\u091C\u093E\u0924\u093F\u092F\u094B\u0902 \u0915\
|
| 100 |
+
\u0940 \u0935\u093F\u0935\u093F\u0927\u0924\u093E \u092C\u0939\u0941\u0924\
|
| 101 |
+
\ \u0915\u092E \u0925\u0940 \u0914\u0930 \u0939\u094B\u092E\u093F\u0928\u093F\
|
| 102 |
+
\u0921 \u092D\u0940 \u092C\u0939\u0941\u0924 \u0915\u092E \u0925\u0947\u0964"
|
| 103 |
+
C: "\u0932\u0902\u092C\u0947 \u0938\u092E\u092F \u0924\u0915 \u0939\u093F\u092E\
|
| 104 |
+
\u092F\u0941\u0917 \u0914\u0930 \u0909\u0938\u0915\u0947 \u092C\u093E\u0926\
|
| 105 |
+
\ \u092D\u092F\u0902\u0915\u0930 \u0938\u0942\u0916\u0947 \u0915\u0947 \u0915\
|
| 106 |
+
\u093E\u0930\u0923 \u092A\u094D\u0930\u091C\u093E\u0924\u093F\u092F\u094B\u0902\
|
| 107 |
+
\ \u0915\u0940 \u0935\u093F\u0935\u093F\u0927\u0924\u093E \u092E\u0947\u0902\
|
| 108 |
+
\ \u0915\u092E\u0940 \u0906\u0908\u0964"
|
| 109 |
+
D: "\u092A\u094D\u0930\u091C\u093E\u0924\u093F\u092F\u094B\u0902 \u0915\u0940\
|
| 110 |
+
\ \u0935\u093F\u0935\u093F\u0927\u0924\u093E \u092E\u0947\u0902 \u0915\u092E\
|
| 111 |
+
\u0940 \u0906\u0908 \u0932\u0947\u0915\u093F\u0928 \u0939\u0925\u094C\u0921\
|
| 112 |
+
\u093C\u0947 \u0915\u0947 \u092A\u0924\u094D\u0925\u0930\u094B\u0902 \u0914\
|
| 113 |
+
\u0930 \u0917\u0941\u091A\u094D\u091B\u094B\u0902 \u0915\u0940 \u0938\u0902\
|
| 114 |
+
\u0916\u094D\u092F\u093E \u092E\u0947\u0902 \u0935\u0943\u0926\u094D\u0927\
|
| 115 |
+
\u093F \u0939\u0941\u0908, \u091C\u094B \u092A\u0924\u094D\u0925\u0930 \u0915\
|
| 116 |
+
\u0947 \u0914\u091C\u093E\u0930\u094B\u0902 \u0915\u0947 \u0928\u093F\u0930\
|
| 117 |
+
\u094D\u092E\u093E\u0923 \u0915\u093E \u0938\u0902\u0915\u0947\u0924 \u0939\
|
| 118 |
+
\u0948\u0964"
|
| 119 |
+
input_correct_responses:
|
| 120 |
+
- A
|
| 121 |
+
input_question: "\u092E\u0927\u094D\u092F \u092A\u094D\u0932\u093F\u092F\u094B\
|
| 122 |
+
\u0938\u0940\u0928 \u0938\u0947 \u0938\u0902\u092C\u0902\u0927\u093F\u0924 \u0939\
|
| 123 |
+
\u094B\u092E\u093F\u0928\u093F\u0921 \u092A\u094D\u0930\u091C\u093E\u0924\u093F\
|
| 124 |
+
\u092F\u094B\u0902 \u092A\u0930 \u0939\u093E\u0932\u093F\u092F\u093E \u0936\u094B\
|
| 125 |
+
\u0927 \u0938\u0947 \u0938\u0902\u0915\u0947\u0924 \u092E\u093F\u0932\u0924\u093E\
|
| 126 |
+
\ \u0939\u0948 \u0915\u093F (2020 \u0924\u0915):"
|
| 127 |
+
- input_choice_list:
|
| 128 |
+
A: "650 \u0938\u0940\u0938\u0940 \u0938\u0947 \u0915\u092E"
|
| 129 |
+
B: "\u0932\u0917\u092D\u0917 800 \u0938\u0940.\u0938\u0940"
|
| 130 |
+
C: "\u092C\u0938 1000 \u0938\u0940\u0938\u0940 \u0938\u0947 \u0915\u092E"
|
| 131 |
+
D: "1200 \u0938\u0940.\u0938\u0940"
|
| 132 |
+
input_correct_responses:
|
| 133 |
+
- C
|
| 134 |
+
input_question: "\u0939\u094B\u092E\u094B \u0907\u0930\u0947\u0915\u094D\u091F\
|
| 135 |
+
\u0938 \u0915\u0940 \u0905\u0928\u0941\u092E\u093E\u0928\u093F\u0924 \u0914\u0938\
|
| 136 |
+
\u0924 \u0915\u092A\u093E\u0932 \u0915\u094D\u0937\u092E\u0924\u093E \u0915\u094D\
|
| 137 |
+
\u092F\u093E \u0939\u0948?"
|
| 138 |
+
include: _continuation_template_yaml
|
| 139 |
+
process_docs: !function utils.process_docs_prehistory
|
| 140 |
+
tag: mmlu_hi_llama_humanities_tasks
|
| 141 |
+
task: mmlu_hi_llama_prehistory
|
| 142 |
+
task_alias: prehistory
|
lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_hi/mmlu_hi_professional_accounting.yaml
ADDED
|
@@ -0,0 +1,152 @@
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|
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|
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|
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|
|
|
|
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|
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|
|
|
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|
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|
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|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
fewshot_config:
|
| 2 |
+
sampler: first_n
|
| 3 |
+
samples:
|
| 4 |
+
- input_choice_list:
|
| 5 |
+
A: $70,000
|
| 6 |
+
B: $75,000
|
| 7 |
+
C: $80,000
|
| 8 |
+
D: '100000'
|
| 9 |
+
input_correct_responses:
|
| 10 |
+
- D
|
| 11 |
+
input_question: "\u092C\u0949\u0915\u094D\u0938 \u090F\u0915 \u0917\u0948\u0930\
|
| 12 |
+
-\u0938\u0930\u0915\u093E\u0930\u0940 \u0917\u0948\u0930-\u0932\u093E\u092D\u0915\
|
| 13 |
+
\u093E\u0930\u0940 \u0938\u0902\u0917\u0920\u0928 \u0928\u0947 \u0935\u0930\u094D\
|
| 14 |
+
\u0937 \u0915\u0947 \u0926\u094C\u0930\u093E\u0928 \u0928\u093F\u092E\u094D\u0928\
|
| 15 |
+
\u0932\u093F\u0916\u093F\u0924 \u0932\u0947\u0928\u0926\u0947\u0928 \u0915\u093F\
|
| 16 |
+
\u090F: \u0928\u093F\u0935\u0947\u0936 \u0915\u0940 \u092C\u093F\u0915\u094D\
|
| 17 |
+
\u0930\u0940 \u0938\u0947 \u092A\u094D\u0930\u093E\u092A\u094D\u0924 \u0906\u092F\
|
| 18 |
+
\ $80000 \u0938\u0902\u092A\u0924\u094D\u0924\u093F \u0938\u0902\u092F\u0902\
|
| 19 |
+
\u0924\u094D\u0930 \u0914\u0930 \u0909\u092A\u0915\u0930\u0923 \u0915\u0940\
|
| 20 |
+
\ \u0916\u0930\u0940\u0926 $10000 \u0926\u0940\u0930\u094D\u0918\u0915\u093E\
|
| 21 |
+
\u0932\u093F\u0915 \u090B\u0923 \u0938\u0947 \u0906\u092F $100000 \u0928\u093F\
|
| 22 |
+
\u0935\u0947\u0936 \u0915\u0940 \u092C\u093F\u0915\u094D\u0930\u0940 \u092A\u0930\
|
| 23 |
+
\ \u0939\u093E\u0928\u093F $5000 \u0915\u093F\u0924\u0928\u0940 \u0930\u093E\
|
| 24 |
+
\u0936\u093F \u0915\u094B \u0936\u0941\u0926\u094D\u0927 \u0915\u0947 \u0930\
|
| 25 |
+
\u0942\u092A \u092E\u0947\u0902 \u0930\u093F\u092A\u094B\u0930\u094D\u091F \u0915\
|
| 26 |
+
\u093F\u092F\u093E \u091C\u093E\u0928\u093E \u091A\u093E\u0939\u093F\u090F \u092C\
|
| 27 |
+
\u0949\u0915\u094D\u0938 \u0915\u0947 \u0928\u0915\u0926\u0940 \u092A\u094D\u0930\
|
| 28 |
+
\u0935\u093E\u0939 \u0935\u093F\u0935\u0930\u0923 \u092E\u0947\u0902 \u0935\u093F\
|
| 29 |
+
\u0924\u094D\u0924\u0940\u092F \u0917\u0924\u093F\u0935\u093F\u0927\u093F\u092F\
|
| 30 |
+
\u094B\u0902 \u0926\u094D\u0935\u093E\u0930\u093E \u092A\u094D\u0930\u0926\u093E\
|
| 31 |
+
\u0928 \u0915\u0940 \u0917\u0908 \u0928\u0915\u0926\u0940?"
|
| 32 |
+
- input_choice_list:
|
| 33 |
+
A: $13,000
|
| 34 |
+
B: $600
|
| 35 |
+
C: $15,000
|
| 36 |
+
D: $28,000
|
| 37 |
+
input_correct_responses:
|
| 38 |
+
- A
|
| 39 |
+
input_question: "\u0938\u094C \u0938\u093E\u0932 \u092A\u0939\u0932\u0947, \u0906\
|
| 40 |
+
\u092A\u0915\u0940 \u092A\u0930\u0926\u093E\u0926\u0940 \u0928\u0947 5% \u0935\
|
| 41 |
+
\u093E\u0930\u094D\u0937\u093F\u0915 \u092C\u094D\u092F\u093E\u091C \u092A\u0930\
|
| 42 |
+
\ 100 \u0921\u0949\u0932\u0930 \u0915\u093E \u0928\u093F\u0935\u0947\u0936 \u0915\
|
| 43 |
+
\u093F\u092F\u093E \u0925\u093E\u0964 \u0906\u091C \u0928\u093F\u0935\u0947\u0936\
|
| 44 |
+
\ \u0915\u093E \u092E\u0942\u0932\u094D\u092F \u0915\u094D\u092F\u093E \u0939\
|
| 45 |
+
\u0948?"
|
| 46 |
+
- input_choice_list:
|
| 47 |
+
A: $0
|
| 48 |
+
B: $500
|
| 49 |
+
C: $1,650
|
| 50 |
+
D: $16,500
|
| 51 |
+
input_correct_responses:
|
| 52 |
+
- A
|
| 53 |
+
input_question: "\u0915\u094D\u0930\u0947\u0924\u0947 \u090F\u0915 \u0905\u0935\
|
| 54 |
+
\u093F\u0935\u093E\u0939\u093F\u0924 \u0915\u0930\u0926\u093E\u0924\u093E \u0939\
|
| 55 |
+
\u0948 \u091C\u093F\u0938\u0915\u0940 \u0906\u092F \u0935\u093F\u0936\u0947\u0937\
|
| 56 |
+
\ \u0930\u0942\u092A \u0938\u0947 \u092E\u091C\u0926\u0942\u0930\u0940 \u0938\
|
| 57 |
+
\u0947 \u0939\u094B\u0924\u0940 \u0939\u0948\u0964 31 \u0926\u093F\u0938\u0902\
|
| 58 |
+
\u092C\u0930, \u0935\u0930\u094D\u0937 1 \u0924\u0915, \u0915\u094D\u0930\u0947\
|
| 59 |
+
\u0924\u0947 \u0915\u0947 \u0928\u093F\u092F\u094B\u0915\u094D\u0924\u093E \u0928\
|
| 60 |
+
\u0947 \u0938\u0902\u0918\u0940\u092F \u0906\u092F \u0915\u0930\u094B\u0902\
|
| 61 |
+
\ \u092E\u0947\u0902 $16,000 \u0930\u094B\u0915 \u0932\u093F\u092F\u093E \u0939\
|
| 62 |
+
\u0948 \u0914\u0930 \u0915\u094D\u0930\u0947\u0924\u0947 \u0928\u0947 \u0915\
|
| 63 |
+
\u094B\u0908 \u0905\u0928\u0941\u092E\u093E\u0928\u093F\u0924 \u0915\u0930 \u092D\
|
| 64 |
+
\u0941\u0917\u0924\u093E\u0928 \u0928\u0939\u0940\u0902 \u0915\u093F\u092F\u093E\
|
| 65 |
+
\ \u0939\u0948\u0964 15 \u0905\u092A\u094D\u0930\u0948\u0932, \u0935\u0930\u094D\
|
| 66 |
+
\u0937 2 \u0915\u094B, \u0915\u094D\u0930\u0947\u0924\u0947 \u0928\u0947 \u0905\
|
| 67 |
+
\u092A\u0928\u093E \u0935\u094D\u092F\u0915\u094D\u0924\u093F\u0917\u0924 \u0915\
|
| 68 |
+
\u0930 \u0930\u093F\u091F\u0930\u094D\u0928 \u0926\u093E\u0916\u093F\u0932 \u0915\
|
| 69 |
+
\u0930\u0928\u0947 \u0915\u0947 \u0932\u093F\u090F \u0938\u092E\u092F \u092A\
|
| 70 |
+
\u0930 \u0935\u093F\u0938\u094D\u0924\u093E\u0930 \u0905\u0928\u0941\u0930\u094B\
|
| 71 |
+
\u0927 \u0926\u093E\u092F\u0930 \u0915\u093F\u092F\u093E, \u0914\u0930 $300\
|
| 72 |
+
\ \u0905\u0924\u093F\u0930\u093F\u0915\u094D\u0924 \u0915\u0930 \u0915\u093E\
|
| 73 |
+
\ \u092D\u0941\u0917\u0924\u093E\u0928 \u0915\u093F\u092F\u093E\u0964 \u0915\
|
| 74 |
+
\u094D\u0930\u0947\u0924\u0947 \u0915\u0940 \u0935\u0930\u094D\u0937 1 \u0915\
|
| 75 |
+
\u0940 \u0915\u0930 \u0926\u0947\u092F\u0924\u093E $16,500 \u0925\u0940 \u091C\
|
| 76 |
+
\u092C \u0909\u0938\u0928\u0947 \u0938\u092E\u092F \u092A\u0930 30 \u0905\u092A\
|
| 77 |
+
\u094D\u0930\u0948\u0932, \u0935\u0930\u094D\u0937 2 \u0915\u094B \u0905\u092A\
|
| 78 |
+
\u0928\u093E \u0930\u093F\u091F\u0930\u094D\u0928 \u0926\u093E\u0916\u093F\u0932\
|
| 79 |
+
\ \u0915\u093F\u092F\u093E \u0914\u0930 \u0936\u0947\u0937 \u0915\u0930 \u0926\
|
| 80 |
+
\u0947\u092F\u0924\u093E \u0915\u093E \u092D\u0941\u0917\u0924\u093E\u0928 \u0915\
|
| 81 |
+
\u093F\u092F\u093E\u0964 \u0905\u0928\u0941\u092E\u093E\u0928\u093F\u0924 \u0915\
|
| 82 |
+
\u0930\u094B\u0902 \u0915\u0947 \u0915\u092E \u092D\u0941\u0917\u0924\u093E\u0928\
|
| 83 |
+
\ \u0915\u0947 \u0932\u093F\u090F \u0915\u093F\u0924\u0928\u0940 \u0930\u093E\
|
| 84 |
+
\u0936\u093F \u091C\u0941\u0930\u094D\u092E\u093E\u0928\u0947 \u0915\u0947 \u0905\
|
| 85 |
+
\u0927\u0940\u0928 \u0939\u094B\u0917\u0940?"
|
| 86 |
+
- input_choice_list:
|
| 87 |
+
A: $5,000
|
| 88 |
+
B: $13,500
|
| 89 |
+
C: $16,000
|
| 90 |
+
D: $20,000
|
| 91 |
+
input_correct_responses:
|
| 92 |
+
- B
|
| 93 |
+
input_question: "\u091C\u0928\u0935\u0930\u0940 1, \u0935\u0930\u094D\u0937 1\
|
| 94 |
+
\ \u0915\u094B, \u0905\u0932\u094D\u092B\u093E \u0915\u0902\u092A\u0928\u0940\
|
| 95 |
+
\ \u0928\u0947 \u090F\u0915 \u0938\u0949\u092B\u094D\u091F\u0935\u0947\u092F\
|
| 96 |
+
\u0930 \u092A\u094D\u0930\u0926\u093E\u0924\u093E \u0915\u0947 \u0938\u093E\u0925\
|
| 97 |
+
\ 15,000 \u0921\u0949\u0932\u0930 \u0915\u0947 \u0935\u093E\u0930\u094D\u0937\
|
| 98 |
+
\u093F\u0915 \u0930\u0916\u0930\u0916\u093E\u0935 \u0938\u092E\u091D\u094C\u0924\
|
| 99 |
+
\u0947 \u092A\u0930 \u0939\u0938\u094D\u0924\u093E\u0915\u094D\u0937\u0930 \u0915\
|
| 100 |
+
\u093F\u090F \u0914\u0930 \u0930\u0916\u0930\u0916\u093E\u0935 \u0915\u0940\
|
| 101 |
+
\ \u0905\u0935\u0927\u093F 1 \u092E\u093E\u0930\u094D\u091A, \u0935\u0930\u094D\
|
| 102 |
+
\u0937 2 \u0938\u0947 \u0936\u0941\u0930\u0942 \u0939\u094B\u0924\u0940 \u0939\
|
| 103 |
+
\u0948\u0964 \u0905\u0932\u094D\u092B\u093E \u0928\u0947 1 \u091C\u0928\u0935\
|
| 104 |
+
\u0930\u0940, \u0935\u0930\u094D\u0937 1 \u0915\u094B \u0938\u0949\u092B\u094D\
|
| 105 |
+
\u091F\u0935\u0947\u092F\u0930 \u0938\u0902\u0936\u094B\u0927\u0928 \u0938\u0947\
|
| 106 |
+
\ \u0938\u0902\u092C\u0902\u0927\u093F\u0924 $5,000 \u0915\u0940 \u0932\u093E\
|
| 107 |
+
\u0917\u0924 \u092D\u0940 \u0916\u0930\u094D\u091A \u0915\u0940\u0964 \u0905\
|
| 108 |
+
\u0928\u0941\u0930\u094B\u0927 \u091C\u094B \u0938\u0949\u092B\u093C\u094D\u091F\
|
| 109 |
+
\u0935\u0947\u092F\u0930 \u0915\u0940 \u0915\u093E\u0930\u094D\u092F\u0915\u094D\
|
| 110 |
+
\u0937\u092E\u0924\u093E \u092C\u0922\u093C\u093E\u090F\u0902\u0917\u0947\u0964\
|
| 111 |
+
\ \u0905\u0932\u094D\u092B\u093E \u0938\u094D\u091F\u094D\u0930\u0947\u091F\
|
| 112 |
+
-\u0932\u093E\u0907\u0928 \u0935\u093F\u0927\u093F \u0915\u093E \u0909\u092A\
|
| 113 |
+
\u092F\u094B\u0917 \u0915\u0930\u0915\u0947 \u092A\u093E\u0902\u091A \u0935\u0930\
|
| 114 |
+
\u094D\u0937\u094B\u0902 \u092E\u0947\u0902 \u0905\u092A\u0928\u0947 \u0915\u0902\
|
| 115 |
+
\u092A\u094D\u092F\u0942\u091F\u0930 \u0914\u0930 \u0938\u0949\u092B\u094D\u091F\
|
| 116 |
+
\u0935\u0947\u092F\u0930 \u092A\u0930\u093F\u0938\u0902\u092A\u0924\u094D\u0924\
|
| 117 |
+
\u093F\u092F\u094B\u0902 \u0915\u093E \u092E\u0942\u0932\u094D\u092F\u0939\u094D\
|
| 118 |
+
\u0930\u093E\u0938 \u0914\u0930 \u092A\u0930\u093F\u0936\u094B\u0927\u0928 \u0915\
|
| 119 |
+
\u0930\u0924\u093E \u0939\u0948\u0964 31 \u0926\u093F\u0938\u0902\u092C\u0930\
|
| 120 |
+
, \u0935\u0930\u094D\u0937 1 \u0915\u094B \u0938\u092E\u093E\u092A\u094D\u0924\
|
| 121 |
+
\ \u0935\u0930\u094D\u0937 \u0915\u0947 \u0932\u093F\u090F \u0930\u0916\u0930\
|
| 122 |
+
\u0916\u093E\u0935 \u0938\u092E\u091D\u094C\u0924\u0947 \u0914\u0930 \u0938\u0949\
|
| 123 |
+
\u092B\u093C\u094D\u091F\u0935\u0947\u092F\u0930 \u0938\u0902\u0936\u094B\u0927\
|
| 124 |
+
\u0928\u094B\u0902 \u0938\u0947 \u0938\u0902\u092C\u0902\u0927\u093F\u0924 \u0905\
|
| 125 |
+
\u0932\u094D\u092B\u093C\u093E \u0915\u094B \u0915\u0941\u0932 \u0935\u094D\u092F\
|
| 126 |
+
\u092F \u0915\u093F\u0924\u0928\u0940 \u0930\u093E\u0936\u093F \u092E\u093E\u0928\
|
| 127 |
+
\u0928\u0940 \u091A\u093E\u0939\u093F\u090F?"
|
| 128 |
+
- input_choice_list:
|
| 129 |
+
A: "\u092E\u0942\u0932\u094D\u092F\u093E\u0902\u0915\u0928 \u090F\u0935\u0902\
|
| 130 |
+
\ \u0906\u0935\u0902\u091F\u0928"
|
| 131 |
+
B: "\u0938\u0902\u092A\u0942\u0930\u094D\u0923\u0924\u093E"
|
| 132 |
+
C: "\u0905\u0927\u093F\u0915\u093E\u0930 \u0906\u0948\u0930 \u0926\u093E\u092F\
|
| 133 |
+
\u093F\u0924\u094D\u0935"
|
| 134 |
+
D: "\u092A\u094D\u0930\u0938\u094D\u0924\u0941\u0924\u093F \u090F\u0935\u0902\
|
| 135 |
+
\ \u092A\u094D\u0930\u0915\u091F\u0940\u0915\u0930\u0923"
|
| 136 |
+
input_correct_responses:
|
| 137 |
+
- B
|
| 138 |
+
input_question: "\u090F\u0915 \u0911\u0921\u093F\u091F\u0930 \u0915\u093F\u0938\
|
| 139 |
+
\u0940 \u0917\u0948\u0930-\u091C\u093E\u0930\u0940\u0915\u0930\u094D\u0924\u093E\
|
| 140 |
+
\ \u0915\u0947 \u0938\u092C\u0932\u0947\u091C\u0930 \u0915\u094B \u0909\u092A\
|
| 141 |
+
\u0915\u0930\u0923 \u092A\u0930 \u0938\u0940\u0930\u093F\u092F\u0932 \u0928\u0902\
|
| 142 |
+
\u092C\u0930 \u0915\u093E \u092A\u0924\u093E \u0932\u0917\u093E\u0924\u093E\
|
| 143 |
+
\ \u0939\u0948\u0964 \u0928\u093F\u092E\u094D\u0928\u0932\u093F\u0916\u093F\u0924\
|
| 144 |
+
\ \u092E\u0947\u0902 \u0938\u0947 \u0915\u094C\u0928 \u0938\u093E \u092A\u094D\
|
| 145 |
+
\u0930\u092C\u0902\u0927\u0928 \u0926\u093E\u0935\u093E \u0907\u0938 \u092A\u0930\
|
| 146 |
+
\u0940\u0915\u094D\u0937\u0923 \u0926\u094D\u0935\u093E\u0930\u093E \u0938\u092E\
|
| 147 |
+
\u0930\u094D\u0925\u093F\u0924 \u0939\u0948?"
|
| 148 |
+
include: _continuation_template_yaml
|
| 149 |
+
process_docs: !function utils.process_docs_professional_accounting
|
| 150 |
+
tag: mmlu_hi_llama_other_tasks
|
| 151 |
+
task: mmlu_hi_llama_professional_accounting
|
| 152 |
+
task_alias: professional_accounting
|
lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_hi/mmlu_hi_professional_law.yaml
ADDED
|
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| 1 |
+
fewshot_config:
|
| 2 |
+
sampler: first_n
|
| 3 |
+
samples:
|
| 4 |
+
- input_choice_list:
|
| 5 |
+
A: "\u091A\u094C\u0926\u0939\u0935\u0947\u0902 \u0938\u0902\u0936\u094B\u0927\
|
| 6 |
+
\u0928 \u0915\u0947 \u0928\u093F\u092F\u0924 \u092A\u094D\u0930\u0915\u094D\
|
| 7 |
+
\u0930\u093F\u092F\u093E \u0916\u0902\u0921 \u0915\u0947 \u0924\u0939\u0924\
|
| 8 |
+
\ \u0905\u0938\u094D\u092A\u0937\u094D\u091F\u0924\u093E \u0915\u0947 \u0915\
|
| 9 |
+
\u093E\u0930\u0923 \u0915\u093C\u093E\u0928\u0942\u0928 \u0936\u0942\u0928\
|
| 10 |
+
\u094D\u092F \u0939\u0948\u0964"
|
| 11 |
+
B: "\u0915\u093C\u093E\u0928\u0942\u0928 \u0905\u092E\u093E\u0928\u094D\u092F\
|
| 12 |
+
\ \u0939\u0948 \u0915\u094D\u092F\u094B\u0902\u0915\u093F \u092F\u0939 \u092A\
|
| 13 |
+
\u094D\u0930\u0925\u092E \u0938\u0902\u0936\u094B\u0927\u0928 \u0915\u0947\
|
| 14 |
+
\ \u0924\u0939\u0924 \u092F\u093E\u091A\u093F\u0915\u093E\u0915\u0930\u094D\
|
| 15 |
+
\u0924\u093E \u0915\u0940 \u092C\u094B\u0932\u0928\u0947 \u0915\u0940 \u0938\
|
| 16 |
+
\u094D\u0935\u0924\u0902\u0924\u094D\u0930\u0924\u093E \u0915\u093E \u0909\
|
| 17 |
+
\u0932\u094D\u0932\u0902\u0918\u0928 \u0915\u0930\u0924\u093E \u0939\u0948\
|
| 18 |
+
\u0964"
|
| 19 |
+
C: "\u092F\u0939 \u0915\u093C\u093E\u0928\u0942\u0928 \u092A\u094D\u0930\u0925\
|
| 20 |
+
\u092E \u0938\u0902\u0936\u094B\u0927\u0928 \u0915\u0947 \u0924\u0939\u0924\
|
| 21 |
+
\ \u092C\u094B\u0932\u0928\u0947 \u0915\u0940 \u0938\u094D\u0935\u0924\u0902\
|
| 22 |
+
\u0924\u094D\u0930\u0924\u093E \u0915\u093E \u0939\u0928\u0928 \u0939\u0948\
|
| 23 |
+
\ \u0915\u094D\u092F\u094B\u0902\u0915\u093F \u0938\u092E\u093E\u0928 \u0909\
|
| 24 |
+
\u0926\u094D\u0926\u0947\u0936\u094D\u092F \u0915\u094B \u092A\u094D\u0930\
|
| 25 |
+
\u093E\u092A\u094D\u0924 \u0915\u0930\u0928\u0947 \u0915\u0947 \u0932\u093F\
|
| 26 |
+
\u090F \u0915\u092E \u092A\u094D\u0930\u0924\u093F\u092C\u0902\u0927\u093E\
|
| 27 |
+
\u0924\u094D\u092E\u0915 \u0938\u093E\u0927\u0928 \u0909\u092A\u0932\u092C\
|
| 28 |
+
\u094D\u0927 \u0939\u0948\u0902\u0964"
|
| 29 |
+
D: "\u0915\u093C\u093E\u0928\u0942\u0928 \u0935\u094D\u092F\u093E\u092A\u0915\
|
| 30 |
+
\ \u0939\u0948 \u0914\u0930 \u092A\u0930\u093F\u0923\u093E\u092E\u0938\u094D\
|
| 31 |
+
\u0935\u0930\u0942\u092A \u092A\u0939\u0932\u0947 \u0914\u0930 \u091A\u094C\
|
| 32 |
+
\u0926\u0939\u0935\u0947\u0902 \u0938\u0902\u0936\u094B\u0927\u0928 \u0915\
|
| 33 |
+
\u0947 \u0924\u0939\u0924 \u0905\u092E\u093E\u0928\u094D\u092F \u0939\u0948\
|
| 34 |
+
\u0964"
|
| 35 |
+
input_correct_responses:
|
| 36 |
+
- D
|
| 37 |
+
input_question: "\u090F\u0915 \u0930\u093E\u091C\u094D\u092F \u0935\u093F\u0927\
|
| 38 |
+
\u093E\u092F\u093F\u0915\u093E \u0928\u0947 \u0939\u093E\u0932 \u0939\u0940\
|
| 39 |
+
\ \u092E\u0947\u0902 \u090F\u0915 \u0915\u093C\u093E\u0928\u0942\u0928 \u092C\
|
| 40 |
+
\u0928\u093E\u092F\u093E \u0939\u0948, \u091C\u093F\u0938\u0938\u0947 \u0905\
|
| 41 |
+
\u092A\u0928\u0947 \u0915\u0930\u094D\u0924\u0935\u094D\u092F\u094B\u0902 \u0915\
|
| 42 |
+
\u093E \u092A\u093E\u0932\u0928 \u0915\u0930 \u0930\u0939\u0947 \u0915\u093F\
|
| 43 |
+
\u0938\u0940 \u092A\u0941\u0932\u093F\u0938 \u0905\u0927\u093F\u0915\u093E\u0930\
|
| 44 |
+
\u0940 \u0915\u094B \u0936\u094D\u0930\u093E\u092A \u0926\u0947\u0928\u093E\
|
| 45 |
+
, \u0928\u093F\u0902\u0926\u093E \u0915\u0930\u0928\u093E \u092F\u093E \u0909\
|
| 46 |
+
\u0938\u0915\u0947 \u092A\u094D\u0930\u0924\u093F \u092F\u093E \u0909\u0938\u0915\
|
| 47 |
+
\u0947 \u0938\u0902\u0926\u0930\u094D\u092D \u092E\u0947\u0902 \u0905\u0936\u094D\
|
| 48 |
+
\u0932\u0940\u0932 \u092F\u093E \u0905\u092A\u092E\u093E\u0928\u091C\u0928\u0915\
|
| 49 |
+
\ \u092D\u093E\u0937\u093E \u0915\u093E \u0909\u092A\u092F\u094B\u0917 \u0915\
|
| 50 |
+
\u0930\u0928\u093E \u090F\u0915 \u0926\u0941\u0937\u094D\u0915\u0930\u094D\u092E\
|
| 51 |
+
\ \u0939\u0948\u0964 \u0930\u093E\u091C\u094D\u092F \u0935\u093F\u0936\u094D\
|
| 52 |
+
\u0935\u0935\u093F\u0926\u094D\u092F\u093E\u0932\u092F \u0915\u0947 \u090F\u0915\
|
| 53 |
+
\ \u091B\u093E\u0924\u094D\u0930 \u0928\u0947 \u092F\u0941\u0926\u094D\u0927\
|
| 54 |
+
\ \u0915\u0947 \u0935\u093F\u0930\u094B\u0927 \u092E\u0947\u0902 \u092A\u0930\
|
| 55 |
+
\u093F\u0938\u0930 \u092E\u0947\u0902 \u090F\u0915 \u092A\u094D\u0930\u0926\u0930\
|
| 56 |
+
\u094D\u0936\u0928 \u0915\u093E \u0906\u092F\u094B\u091C\u0928 \u0915\u093F\u092F\
|
| 57 |
+
\u093E\u0964 \u0930\u0948\u0932\u0940 \u092E\u0947\u0902 50 \u091B\u093E\u0924\
|
| 58 |
+
\u094D\u0930\u094B\u0902 \u0915\u0947 \u090F\u0915 \u0938\u092E\u0942\u0939\
|
| 59 |
+
\ \u0928\u0947 \u092D\u093E\u0917 \u0932\u093F\u092F\u093E, \u091C\u093F\u0928\
|
| 60 |
+
\u094D\u0939\u094B\u0902\u0928\u0947 \u092A\u093E\u0938 \u0938\u0947 \u0917\u0941\
|
| 61 |
+
\u091C\u0930\u0928\u0947 \u0935\u093E\u0932\u0940 \u0915\u093E\u0930\u094B\u0902\
|
| 62 |
+
\ \u092A\u0930 \u092F\u0941\u0926\u094D\u0927-\u0935\u093F\u0930\u094B\u0927\
|
| 63 |
+
\u0940 \u0938\u0902\u0926\u0947\u0936 \u091A\u093F\u0932\u094D\u0932\u093E\u090F\
|
| 64 |
+
\u0964 \u0938\u0902\u092F\u0941\u0915\u094D\u0924 \u0930\u093E\u091C\u094D\u092F\
|
| 65 |
+
\ \u0905\u092E\u0947\u0930\u093F\u0915\u093E \u0915\u0947 \u092A\u094D\u0930\
|
| 66 |
+
\u0924\u093F \u0905\u092A\u0928\u0940 \u0905\u0935\u092E\u093E\u0928\u0928\u093E\
|
| 67 |
+
\ \u0926\u093F\u0916\u093E\u0928\u0947 \u0915\u0947 \u0932\u093F\u090F, \u091B\
|
| 68 |
+
\u093E\u0924\u094D\u0930 \u0928\u0947 \u0905\u092A\u0928\u0940 \u091C\u0940\u0902\
|
| 69 |
+
\u0938 \u0915\u0947 \u092A\u093F\u091B\u0932\u0947 \u0939\u093F\u0938\u094D\u0938\
|
| 70 |
+
\u0947 \u092A\u0930 \u0905\u092E\u0947\u0930\u093F\u0915\u0940 \u0927\u094D\u0935\
|
| 71 |
+
\u091C \u0938\u093F\u0932 \u0926\u093F\u092F\u093E\u0964 \u091C\u092C \u090F\
|
| 72 |
+
\u0915 \u092A\u0941\u0932\u093F\u0938 \u0905\u0927\u093F\u0915\u093E\u0930\u0940\
|
| 73 |
+
\ \u0928\u0947 \u091B\u093E\u0924\u094D\u0930 \u0915\u0940 \u091C\u0940\u0902\
|
| 74 |
+
\u0938 \u092A\u0930 \u091D\u0902\u0921\u093E \u0932\u0917\u093E \u0939\u0941\
|
| 75 |
+
\u0906 \u0926\u0947\u0916\u093E, \u0924\u094B \u0935\u0939 \u0909\u0938\u0915\
|
| 76 |
+
\u0947 \u092A\u093E\u0938 \u0906\u092F\u093E \u0914\u0930 \u0909\u0938\u0938\
|
| 77 |
+
\u0947 \u0915\u0939\u093E \u0915\u093F \u0935\u0939 \u091D\u0902\u0921\u093E\
|
| 78 |
+
\ \u0939\u091F\u093E \u0926\u0947 \u0905\u0928\u094D\u092F\u0925\u093E \u0909\
|
| 79 |
+
\u0938\u0947 \u0917\u093F\u0930\u092B\u094D\u0924\u093E\u0930 \u0915\u0930 \u0932\
|
| 80 |
+
\u093F\u092F\u093E \u091C\u093E\u090F\u0917\u093E\u0964 \u091B\u093E\u0924\u094D\
|
| 81 |
+
\u0930 \u0915\u094D\u0930\u094B\u0927\u093F\u0924 \u0939\u094B \u0917\u092F\u093E\
|
| 82 |
+
\ \u0914\u0930 \u092A\u0941\u0932\u093F\u0938 \u0905\u0927\u093F\u0915\u093E\
|
| 83 |
+
\u0930\u0940 \u092A\u0930 \u091A\u093F\u0932\u094D\u0932\u093E\u092F\u093E,\
|
| 84 |
+
\ "\u0938\u0941\u0928\u094B, \u0915\u092E\u0940\u0928\u0947, \u092E\u0948\
|
| 85 |
+
\u0902 \u092F\u0939 \u0915\u092A\u0921\u093C\u093E \u091C\u0939\u093E\u0902\
|
| 86 |
+
\ \u092D\u0940 \u091A\u093E\u0939\u0942\u0902 \u092A\u0939\u0928\u0942\u0902\
|
| 87 |
+
\u0917\u093E\u0964" \u092C\u093E\u0926 \u092E\u0947\u0902 \u091B\u093E\u0924\
|
| 88 |
+
\u094D\u0930 \u0915\u094B \u0917\u093F\u0930\u092B\u094D\u0924\u093E\u0930 \u0915\
|
| 89 |
+
\u0930 \u0932\u093F\u092F\u093E \u0917\u092F\u093E \u0914\u0930 \u0930\u093E\
|
| 90 |
+
\u091C\u094D\u092F \u0915\u093C\u093E\u0928\u0942\u0928 \u0915\u093E \u0909\u0932\
|
| 91 |
+
\u094D\u0932\u0902\u0918\u0928 \u0915\u0930\u0928\u0947 \u0915\u093E \u0906\u0930\
|
| 92 |
+
\u094B\u092A \u0932\u0917\u093E\u092F\u093E \u0917\u092F\u093E\u0964 \u091B\u093E\
|
| 93 |
+
\u0924\u094D\u0930 \u092C\u093E\u0926 \u092E\u0947\u0902 \u0915\u093C\u093E\u0928\
|
| 94 |
+
\u0942\u0928 \u0915\u0940 \u0938\u0902\u0935\u0948\u0927\u093E\u0928\u093F\u0915\
|
| 95 |
+
\u0924\u093E \u0915\u094B \u091A\u0941\u0928\u094C\u0924\u0940 \u0926\u0947\u0924\
|
| 96 |
+
\u0947 \u0939\u0941\u090F \u0930\u093E\u091C\u094D\u092F \u0905\u0926\u093E\u0932\
|
| 97 |
+
\u0924 \u092E\u0947\u0902 \u092E\u0941\u0915\u0926\u092E\u093E \u0926\u093E\u092F\
|
| 98 |
+
\u0930 \u0915\u0930\u0924\u093E \u0939\u0948\u0964 \u091B\u093E\u0924\u094D\u0930\
|
| 99 |
+
\ \u0915\u0947 \u0932\u093F\u090F \u0938\u092C\u0938\u0947 \u092E\u091C\u092C\
|
| 100 |
+
\u0942\u0924 \u0938\u0902\u0935\u0948\u0927\u093E\u0928\u093F\u0915 \u0924\u0930\
|
| 101 |
+
\u094D\u0915 \u092F\u0939\u0940 \u0939\u0948"
|
| 102 |
+
- input_choice_list:
|
| 103 |
+
A: "\u0935\u093E\u0923\u093F\u091C\u094D\u092F \u0916\u0902\u0921."
|
| 104 |
+
B: "\u091A\u094C\u0926\u0939\u0935\u0947\u0902 \u0938\u0902\u0936\u094B\u0927\
|
| 105 |
+
\u0928 \u0915\u093E \u0938\u092E\u093E\u0928 \u0938\u0902\u0930\u0915\u094D\
|
| 106 |
+
\u0937\u0923 \u0916\u0902\u0921\u0964"
|
| 107 |
+
C: "\u0905\u0928\u0941\u091A\u094D\u091B\u0947\u0926 IV, \u0927\u093E\u0930\u093E\
|
| 108 |
+
\ 2 \u0915\u0947 \u0935\u093F\u0936\u0947\u0937\u093E\u0927\u093F\u0915\u093E\
|
| 109 |
+
\u0930 \u0914\u0930 \u0909\u0928\u094D\u092E\u0941\u0915\u094D\u0924\u093F\
|
| 110 |
+
\u092F\u093E\u0901 \u0916\u0902\u0921\u0964"
|
| 111 |
+
D: "\u0905\u0928\u0941\u092C\u0902\u0927 \u0916\u0902\u0921."
|
| 112 |
+
input_correct_responses:
|
| 113 |
+
- A
|
| 114 |
+
input_question: "\u090F\u0915 \u0930\u093E\u091C\u094D\u092F \u0928\u0947 \u0939\
|
| 115 |
+
\u093E\u0932 \u0939\u0940 \u092E\u0947\u0902 \u0930\u093E\u091C\u094D\u092F\
|
| 116 |
+
\ \u0915\u0947 \u092D\u0940\u0924\u0930 \u0915\u093F\u0938\u0940 \u092D\u0940\
|
| 117 |
+
\ \u092A\u0930\u092E\u093E\u0923\u0941 \u0915\u091A\u0930\u0947 \u0915\u0947\
|
| 118 |
+
\ \u0928\u093F\u092A\u091F\u093E\u0928 \u092A\u0930 \u0930\u094B\u0915 \u0932\
|
| 119 |
+
\u0917\u093E\u0928\u0947 \u0935\u093E\u0932\u093E \u090F\u0915 \u0915\u093C\u093E\
|
| 120 |
+
\u0928\u0942\u0928 \u092C\u0928\u093E\u092F\u093E \u0939\u0948\u0964 \u092F\u0939\
|
| 121 |
+
\ \u0915\u093E\u0928\u0942\u0928 \u0915\u093F\u0938\u0940 \u092D\u0940 \u0938\
|
| 122 |
+
\u0902\u0918\u0940\u092F \u0915\u093C\u093E\u0928\u0942\u0928 \u0915\u093E \u0909\
|
| 123 |
+
\u0932\u094D\u0932\u0902\u0918\u0928 \u092F\u093E \u091F\u0915\u0930\u093E\u0935\
|
| 124 |
+
\ \u0928\u0939\u0940\u0902 \u0915\u0930\u0924\u093E \u0939\u0948\u0964 \u090F\
|
| 125 |
+
\u0915 \u0906\u0926\u092E\u0940 \u0930\u093E\u091C\u094D\u092F \u092E\u0947\u0902\
|
| 126 |
+
\ \u090F\u0915 \u0915\u0902\u092A\u0928\u0940 \u091A\u0932\u093E\u0924\u093E\
|
| 127 |
+
\ \u0939\u0948 \u091C\u094B \u092A\u0930\u092E\u093E\u0923\u0941 \u0915\u091A\
|
| 128 |
+
\u0930\u0947 \u0915\u0947 \u0928\u093F\u092A\u091F\u093E\u0928 \u092E\u0947\u0902\
|
| 129 |
+
\ \u0932\u0917\u0940 \u0939\u0941\u0908 \u0939\u0948\u0964 \u0930\u093E\u091C\
|
| 130 |
+
\u094D\u092F \u0915\u093C\u093E\u0928\u0942\u0928 \u0915\u0947 \u092A\u093E\u0930\
|
| 131 |
+
\u093F\u0924 \u0939\u094B\u0928\u0947 \u0915\u0947 \u092C\u093E\u0926, \u0909\
|
| 132 |
+
\u0938 \u0935\u094D\u092F\u0915\u094D\u0924\u093F \u0915\u094B, \u091C\u094B\
|
| 133 |
+
\ \u0905\u092D\u0940 \u0924\u0915 \u0928\u090F \u0915\u093E\u0928\u0942\u0928\
|
| 134 |
+
\ \u0938\u0947 \u0905\u0935\u0917\u0924 \u0928\u0939\u0940\u0902 \u0925\u093E\
|
| 135 |
+
, \u0930\u093E\u091C\u094D\u092F \u092E\u0947\u0902 \u0905\u092A\u0928\u0947\
|
| 136 |
+
\ \u092A\u0930\u092E\u093E\u0923\u0941 \u0915\u091A\u0930\u0947 \u0915\u0947\
|
| 137 |
+
\ \u0928\u093F\u092A\u091F\u093E\u0928 \u0915\u0947 \u0932\u093F\u090F \u0915\
|
| 138 |
+
\u0908 \u0930\u093E\u091C\u094D\u092F-\u092C\u093E\u0939\u0930 \u0915\u0940\
|
| 139 |
+
\ \u0915\u0902\u092A\u0928\u093F\u092F\u094B\u0902 \u0915\u0947 \u0938\u093E\
|
| 140 |
+
\u0925 \u0905\u0928\u0941\u092C\u0902\u0927 \u092E\u0947\u0902 \u092A\u094D\u0930\
|
| 141 |
+
\u0935\u0947\u0936 \u0915\u093F\u092F\u093E\u0964 \u0939\u093E\u0932\u093E\u0901\
|
| 142 |
+
\u0915\u093F, \u0907\u0938 \u0928\u090F \u0915\u093E\u0928\u0942\u0928 \u0915\
|
| 143 |
+
\u0947 \u0915\u093E\u0930\u0923, \u0906\u0926\u092E\u0940 \u0907\u0928 \u0905\
|
| 144 |
+
\u0928\u0941\u092C\u0902\u0927\u094B\u0902 \u0915\u094B \u092A\u0942\u0930\u093E\
|
| 145 |
+
\ \u0915\u0930\u0928\u0947 \u092E\u0947\u0902 \u0905\u0938\u092E\u0930\u094D\
|
| 146 |
+
\u0925 \u0939\u094B\u0917\u093E\u0964 \u092E\u093E\u0928 \u0932\u0940\u091C\u093F\
|
| 147 |
+
\u090F \u0915\u093F \u0935\u0939 \u0935\u094D\u092F\u0915\u094D\u0924\u093F\
|
| 148 |
+
\ \u0907\u0938 \u0930\u093E\u091C\u094D\u092F \u0915\u093E\u0928\u0942\u0928\
|
| 149 |
+
\ \u0915\u094B \u091A\u0941\u0928\u094C\u0924\u0940 \u0926\u0947\u0928\u0947\
|
| 150 |
+
\ \u0915\u0947 \u0932\u093F\u090F \u0916\u0921\u093C\u093E \u0939\u0948\u0964\
|
| 151 |
+
\ \u0928\u093F\u092E\u094D\u0928\u0932\u093F\u0916\u093F\u0924 \u092E\u0947\u0902\
|
| 152 |
+
\ \u0938\u0947 \u0915\u094C\u0928 \u0930\u093E\u091C\u094D\u092F \u0915\u0947\
|
| 153 |
+
\ \u092D\u0940\u0924\u0930 \u092A\u0930\u092E\u093E\u0923\u0941 \u0915\u091A\
|
| 154 |
+
\u0930\u0947 \u0915\u0947 \u0928\u093F\u092A\u091F\u093E\u0928 \u092A\u0930\
|
| 155 |
+
\ \u0930\u094B\u0915 \u0932\u0917\u093E\u0928\u0947 \u0935\u093E\u0932\u0947\
|
| 156 |
+
\ \u0930\u093E\u091C\u094D\u092F \u0915\u0947 \u0915\u093E\u0928\u0942\u0928\
|
| 157 |
+
\ \u0915\u094B \u091A\u0941\u0928\u094C\u0924\u0940 \u0926\u0947\u0928\u0947\
|
| 158 |
+
\ \u0915\u0947 \u0932\u093F\u090F \u0905\u092A\u0928\u093E \u0938\u092C\u0938\
|
| 159 |
+
\u0947 \u092E\u091C\u092C\u0942\u0924 \u0938\u0902\u0935\u0948\u0927\u093E\u0928\
|
| 160 |
+
\u093F\u0915 \u0906\u0927\u093E\u0930 \u092A\u094D\u0930\u0938\u094D\u0924\u0941\
|
| 161 |
+
\u0924 \u0915\u0930\u0924\u093E \u0939\u0948?"
|
| 162 |
+
- input_choice_list:
|
| 163 |
+
A: "\u0928\u093F\u0930\u094D\u0935\u093F\u0935\u093E\u0926 \u0924\u0925\u094D\
|
| 164 |
+
\u092F."
|
| 165 |
+
B: "\u0935\u0947 \u0924\u0925\u094D\u092F \u091C\u094B \u0935\u094D\u092F\u0915\
|
| 166 |
+
\u094D\u0924\u093F\u0917\u0924 \u0930\u093E\u091C\u0928\u0940\u0924\u093F\u0915\
|
| 167 |
+
\ \u0938\u0902\u0917\u0920\u0928\u094B\u0902 \u0926\u094D\u0935\u093E\u0930\
|
| 168 |
+
\u093E \u0926\u093E\u0935\u093E \u0915\u093F\u090F \u0917\u090F \u0939\u0948\
|
| 169 |
+
\u0902\u0964"
|
| 170 |
+
C: "\u0938\u093E\u092E\u093E\u0928\u094D\u092F \u091C\u094D\u091E\u093E\u0928\
|
| 171 |
+
\ \u0926\u094D\u0935\u093E\u0930\u093E \u0938\u0924\u094D\u092F \u092E\u093E\
|
| 172 |
+
\u0928\u0947 \u091C\u093E\u0928\u0947 \u0935\u093E\u0932\u0947 \u0924\u0925\
|
| 173 |
+
\u094D\u092F\u0964"
|
| 174 |
+
D: "\u0935\u0948\u091C\u094D\u091E\u093E\u0928\u093F\u0915 \u0938\u0924\u094D\
|
| 175 |
+
\u092F\u093E\u092A\u0928 \u092E\u0947\u0902 \u0938\u0915\u094D\u0937\u092E\
|
| 176 |
+
\ \u0924\u0925\u094D\u092F."
|
| 177 |
+
input_correct_responses:
|
| 178 |
+
- B
|
| 179 |
+
input_question: "\u0928\u094D\u092F\u093E\u092F\u093E\u0927\u0940\u0936 \u0928\
|
| 180 |
+
\u0947 \u092E\u0941\u0915\u0926\u092E\u0947 \u0915\u0940 \u0936\u0941\u0930\u0941\
|
| 181 |
+
\u0906\u0924 \u092E\u0947\u0902 \u0915\u0941\u091B \u0924\u0925\u094D\u092F\u094B\
|
| 182 |
+
\u0902 \u092A\u0930 \u0928\u094D\u092F\u093E\u092F\u093F\u0915 \u0938\u0902\u091C\
|
| 183 |
+
\u094D\u091E\u093E\u0928 \u0932\u093F\u092F\u093E\u0964 \u0928\u093F\u092E\u094D\
|
| 184 |
+
\u0928\u0932\u093F\u0916\u093F\u0924 \u092E\u0947\u0902 \u0938\u0947 \u0915\u094C\
|
| 185 |
+
\u0928 \u0938\u093E \u0928\u094D\u092F\u093E\u092F\u093F\u0915 \u0928\u094B\u091F\
|
| 186 |
+
\u093F\u0938 \u0915\u0947 \u0932\u093F\u090F \u0909\u092A\u092F\u0941\u0915\u094D\
|
| 187 |
+
\u0924 \u092A\u094D\u0930\u0915\u093E\u0930 \u0915\u093E \u0924\u0925\u094D\u092F\
|
| 188 |
+
\ \u0928\u0939\u0940\u0902 \u0939\u0948?"
|
| 189 |
+
- input_choice_list:
|
| 190 |
+
A: "\u0930\u093E\u0939\u0924 \u092A\u094D\u0930\u0926\u093E\u0928 \u0915\u0930\
|
| 191 |
+
\u0947\u0902, \u0915\u094D\u092F\u094B\u0902\u0915\u093F \u092C\u093E\u0921\
|
| 192 |
+
\u093C \u0938\u0941\u0916 \u0938\u0941\u0935\u093F\u0927\u093E \u092A\u094D\
|
| 193 |
+
\u0930\u0924\u093F\u092C\u0902\u0927 \u0915\u093E \u0909\u0932\u094D\u0932\
|
| 194 |
+
\u0902\u0918\u0928 \u0915\u0930 \u0930\u0939\u0940 \u0925\u0940\u0964"
|
| 195 |
+
B: "\u0930\u093E\u0939\u0924 \u092A\u094D\u0930\u0926\u093E\u0928 \u0915\u0930\
|
| 196 |
+
\u0947\u0902, \u0915\u094D\u092F\u094B\u0902\u0915\u093F \u092C\u093E\u0921\
|
| 197 |
+
\u093C \u0915\u0947 \u0905\u0924\u093F\u0915\u094D\u0930\u092E\u0923 \u0928\
|
| 198 |
+
\u0947 \u092E\u0942\u0932 \u092F\u094B\u091C\u0928\u093E \u092E\u0947\u0902\
|
| 199 |
+
\ \u092A\u094D\u0930\u0924\u093F\u092C\u0902\u0927 \u0915\u093E \u0909\u0932\
|
| 200 |
+
\u094D\u0932\u0902\u0918\u0928 \u0915\u093F\u092F\u093E \u0939\u0948\u0964"
|
| 201 |
+
C: "\u0930\u093E\u0939\u0924 \u0938\u0947 \u0907\u0928\u0915\u093E\u0930 \u0915\
|
| 202 |
+
\u0930\u0947\u0902, \u0915\u094D\u092F\u094B\u0902\u0915\u093F \u0936\u093F\
|
| 203 |
+
\u0915\u094D\u0937\u0915 \u0938\u0947\u0935\u093E\u0928\u093F\u0935\u0943\u0924\
|
| 204 |
+
\u094D\u0924 \u0915\u0947 \u0916\u093F\u0932\u093E\u092B \u092A\u094D\u0930\
|
| 205 |
+
\u0924\u093F\u092C\u0902\u0927 \u0932\u093E\u0917\u0942 \u0915\u0930\u0928\
|
| 206 |
+
\u0947 \u092E\u0947\u0902 \u0935\u093F\u092B\u0932 \u0930\u0939\u093E\u0964"
|
| 207 |
+
D: "\u0930\u093E\u0939\u0924 \u0938\u0947 \u0907\u0928\u0915\u093E\u0930 \u0915\
|
| 208 |
+
\u0930\u0947\u0902, \u0915\u094D\u092F\u094B\u0902\u0915\u093F \u092A\u094D\
|
| 209 |
+
\u0930\u0924\u093F\u092C\u0902\u0927 \u0915\u0940 \u0936\u0930\u094D\u0924\
|
| 210 |
+
\u094B\u0902 \u0915\u0947 \u0924\u0939\u0924 \u092C\u093E\u0921\u093C \u0915\
|
| 211 |
+
\u094B "\u090F\u0915 \u0938\u0902\u0930\u091A\u0928\u093E" \u0915\
|
| 212 |
+
\u0947 \u0930\u0942\u092A \u092E\u0947\u0902 \u0928\u0939\u0940\u0902 \u0938\
|
| 213 |
+
\u092E\u091D\u093E \u091C\u093E\u090F\u0917\u093E\u0964"
|
| 214 |
+
input_correct_responses:
|
| 215 |
+
- B
|
| 216 |
+
input_question: "1 \u0905\u0915\u094D\u091F\u0942\u092C\u0930 1980 \u0915\u094B\
|
| 217 |
+
, \u090F\u0915 \u0917\u094D\u0930\u093E\u092E\u0940\u0923 \u0915\u093E\u0909\
|
| 218 |
+
\u0902\u091F\u0940 \u092E\u0947\u0902 \u0915\u0908 \u0938\u094C \u090F\u0915\
|
| 219 |
+
\u0921\u093C \u091C\u092E\u0940\u0928 \u0915\u0947 \u092E\u093E\u0932\u093F\u0915\
|
| 220 |
+
, \u090F\u0915 \u0921\u0947\u0935\u0932\u092A\u0930 \u0928\u0947 \u0915\u094D\
|
| 221 |
+
\u0937\u0947\u0924\u094D\u0930 \u0915\u0947 \u0932\u093F\u090F \u090F\u0915\
|
| 222 |
+
\ \u0938\u093E\u092E\u093E\u0928\u094D\u092F \u0935\u093F\u0915\u093E\u0938\
|
| 223 |
+
\ \u092F\u094B\u091C\u0928\u093E \u0915\u093E \u092E\u0938\u094C\u0926\u093E\
|
| 224 |
+
\ \u0924\u0948\u092F\u093E\u0930 \u0915\u093F\u092F\u093E\u0964 \u0935\u093F\
|
| 225 |
+
\u0927\u093F\u0935\u0924 \u0926\u0930\u094D\u091C \u092F\u094B\u091C\u0928\u093E\
|
| 226 |
+
\ \u092E\u0947\u0902 \u092F\u094B\u091C\u0928\u093E \u092E\u0947\u0902 \u092D\
|
| 227 |
+
\u0942\u092E\u093F \u092A\u0930 \u0935\u093F\u0938\u094D\u0924\u0943\u0924 \u0938\
|
| 228 |
+
\u0940\u092E\u093E\u090F\u0902 \u0914\u0930 \u092A\u094D\u0930\u0924\u093F\u092C\
|
| 229 |
+
\u0902\u0927 \u0932\u0917\u093E\u090F \u0917\u090F \u0925\u0947, \u091C\u093F\
|
| 230 |
+
\u0938\u0947 \u090F\u0915 \u0906\u0935\u093E\u0938\u0940\u092F \u091C\u093F\u0932\
|
| 231 |
+
\u0947 \u0915\u0947 \u0930\u0942\u092A \u092E\u0947\u0902 \u0935\u093F\u0915\
|
| 232 |
+
\u0938\u093F\u0924 \u0915\u093F\u092F\u093E \u091C\u093E\u0928\u093E \u0925\u093E\
|
| 233 |
+
\u0964 \u092A\u094D\u0930\u0924\u093F\u092C\u0902\u0927 \u0915\u093F\u0938\u0940\
|
| 234 |
+
\ \u092D\u0940 \u0932\u0949\u091F \u0915\u094B \u092A\u094D\u0930\u093E\u092A\
|
| 235 |
+
\u094D\u0924 \u0915\u0930\u0928\u0947 \u0935\u093E\u0932\u0947 \u0938\u092D\u0940\
|
| 236 |
+
\ \u0935\u094D\u092F\u0915\u094D\u0924\u093F\u092F\u094B\u0902 \u0914\u0930\
|
| 237 |
+
\ \u0909\u0928\u0915\u0947 \u0909\u0924\u094D\u0924\u0930\u093E\u0927\u093F\u0915\
|
| 238 |
+
\u093E\u0930\u093F\u092F\u094B\u0902, \u0928\u093F\u092F\u0941\u0915\u094D\u0924\
|
| 239 |
+
\u093F\u092F\u094B\u0902 \u0914\u0930 \u092A\u091F\u094D\u091F\u0947\u0926\u093E\
|
| 240 |
+
\u0930\u094B\u0902 \u092A\u0930 \u0932\u093E\u0917\u0942 \u0939\u094B\u0928\u0947\
|
| 241 |
+
\ \u0925\u0947\u0964 \u0906\u0917\u0947 \u092F\u0939 \u092A\u094D\u0930\u093E\
|
| 242 |
+
\u0935\u0927\u093E\u0928 \u0915\u093F\u092F\u093E \u0917\u092F\u093E \u0915\u093F\
|
| 243 |
+
\ \u0938\u092D\u0940 \u092C\u093E\u0926 \u0915\u0947 \u092E\u093E\u0932\u093F\
|
| 244 |
+
\u0915\u094B\u0902 \u0938\u0947 \u092A\u094D\u0930\u0924\u093F\u092C\u0902\u0927\
|
| 245 |
+
\u094B\u0902 \u0915\u0940 \u0909\u091A\u093F\u0924 \u0938\u0942\u091A\u0928\u093E\
|
| 246 |
+
\ \u0932\u0940 \u091C\u093E\u090F\u0917\u0940\u0964 \u0938\u093E\u092E\u093E\
|
| 247 |
+
\u0928\u094D\u092F \u092F\u094B\u091C\u0928\u093E \u092E\u0947\u0902 \u0909\u0928\
|
| 248 |
+
\ \u092A\u094D\u0930\u0924\u093F\u092C\u0902\u0927\u094B\u0902 \u092E\u0947\u0902\
|
| 249 |
+
\ \u0928\u093F\u092E\u094D\u0928\u0932\u093F\u0916\u093F\u0924 \u0925\u0947\
|
| 250 |
+
: (22) \u092A\u094D\u0930\u0935\u0947\u0936 \u0914\u0930 \u0928\u093F\u0915\u093E\
|
| 251 |
+
\u0938 \u0915\u0947 \u0905\u0927\u093F\u0915\u093E\u0930 \u0915\u0947 \u0938\
|
| 252 |
+
\u093E\u0925 \u0938\u093E\u0930\u094D\u0935\u091C\u0928\u093F\u0915 \u0909\u092A\
|
| 253 |
+
\u092F\u094B\u0917\u093F\u0924\u093E \u0915\u0902\u092A\u0928\u093F\u092F\u094B\
|
| 254 |
+
\u0902 \u0915\u0947 \u0909\u092A\u092F\u094B\u0917 \u0915\u0947 \u0932\u093F\
|
| 255 |
+
\u090F \u092A\u094D\u0930\u0924\u094D\u092F\u0947\u0915 \u0932\u0949\u091F \u0915\
|
| 256 |
+
\u0947 \u092A\u0940\u091B\u0947 10 \u092B\u0940\u091F \u091A\u094C\u0921\u093C\
|
| 257 |
+
\u0940 \u092D\u0942\u092E\u093F \u0915\u0940 \u090F\u0915 \u092A\u091F\u094D\
|
| 258 |
+
\u091F\u0940 \u092E\u0947\u0902 \u090F\u0915 \u092E\u0924\u093E\u0927\u093F\u0915\
|
| 259 |
+
\u093E\u0930 \u0905\u0927\u093F\u0915\u093E\u0930 \u092C\u0928\u093E\u092F\u093E\
|
| 260 |
+
\ \u091C\u093E\u0924\u093E \u0939\u0948\u0964 (23) \u0909\u0915\u094D\u0924\
|
| 261 |
+
\ \u092C\u094D\u0932\u0949\u0915\u094B\u0902 \u0938\u0947 \u0917\u0941\u091C\
|
| 262 |
+
\u0930\u0928\u0947 \u0935\u093E\u0932\u0940 \u092D\u0942\u092E\u093F \u0915\u0940\
|
| 263 |
+
\ \u0909\u092A\u0930\u094B\u0915\u094D\u0924 \u092A\u091F\u094D\u091F\u0940\
|
| 264 |
+
\ \u092A\u0930 \u0915\u093F\u0938\u0940 \u092D\u0940 \u092A\u094D\u0930\u0915\
|
| 265 |
+
\u093E\u0930 \u0915\u093E \u0915\u094B\u0908 \u0918\u0930 \u092F\u093E \u0938\
|
| 266 |
+
\u0902\u0930\u091A\u0928\u093E \u0928\u0939\u0940\u0902 \u092C\u0928\u093E\u0908\
|
| 267 |
+
\ \u091C\u093E\u090F\u0917\u0940\u0964 2000 \u092E\u0947\u0902, \u090F\u0915\
|
| 268 |
+
\ \u0938\u0947\u0935\u093E\u0928\u093F\u0935\u0943\u0924\u094D\u0924 \u0935\u094D\
|
| 269 |
+
\u092F\u0915\u094D\u0924\u093F \u0928\u0947 \u0932\u0949\u091F \u092E\u0947\u0902\
|
| 270 |
+
\ \u0938\u0947 \u090F\u0915 \u0916\u0930\u0940\u0926\u093E, \u090F\u0915 \u0918\
|
| 271 |
+
\u0930 \u092C\u0928\u093E\u092F\u093E, \u0914\u0930 \u092A\u094D\u0930\u0924\
|
| 272 |
+
\u093F\u092C\u0902\u0927\u093F\u0924 \u0915\u094D\u0937\u0947\u0924\u094D\u0930\
|
| 273 |
+
\ \u0915\u0947 \u092D\u0940\u0924\u0930 \u0905\u092A\u0928\u0940 \u0938\u0902\
|
| 274 |
+
\u092A\u0924\u094D\u0924\u093F \u0915\u0947 \u092A\u0940\u091B\u0947 \u090F\u0915\
|
| 275 |
+
\ \u092C\u093E\u0921\u093C \u0932\u0917\u093E \u0926\u0940\u0964 2004 \u092E\
|
| 276 |
+
\u0947\u0902, \u090F\u0915 \u0936\u093F\u0915\u094D\u0937\u0915 \u0928\u0947\
|
| 277 |
+
\ \u0938\u0947\u0935\u093E\u0928\u093F\u0935\u0943\u0924\u094D\u0924 \u0935\u094D\
|
| 278 |
+
\u092F\u0915\u094D\u0924\u093F \u0915\u0940 \u0938\u0902\u092A\u0924\u094D\u0924\
|
| 279 |
+
\u093F \u0915\u0947 \u092A\u093E\u0938 \u092C\u0939\u0941\u0924 \u0915\u0941\
|
| 280 |
+
\u091B \u0916\u0930\u0940\u0926\u093E \u0914\u0930 \u090F\u0915 \u0928\u092F\
|
| 281 |
+
\u093E \u0918\u0930 \u092C\u0928\u093E\u092F\u093E\u0964 \u0926\u094B \u0938\
|
| 282 |
+
\u093E\u0932 \u092C\u093E\u0926, \u090F\u0915 \u0932\u093E\u0907\u092C\u094D\
|
| 283 |
+
\u0930\u0947\u0930\u093F\u092F\u0928 \u0928\u0947 \u0936\u093F\u0915\u094D\u0937\
|
| 284 |
+
\u0915 \u0915\u0940 \u0938\u0902\u092A\u0924\u094D\u0924\u093F \u0938\u0947\
|
| 285 |
+
\ \u091C\u0941\u0921\u093C\u0940 \u0939\u0941\u0908 \u091C\u092E\u0940\u0928\
|
| 286 |
+
\ \u0916\u0930\u0940\u0926 \u0932\u0940\u0964 \u0909\u0928 \u0938\u0902\u092A\
|
| 287 |
+
\u0924\u094D\u0924\u093F\u092F\u094B\u0902 \u0915\u0947 \u0924\u0940\u0928 \u0915\
|
| 288 |
+
\u093E\u0930\u094D\u092F\u094B\u0902 \u092E\u0947\u0902 \u0938\u0947 \u092A\u094D\
|
| 289 |
+
\u0930\u0924\u094D\u092F\u0947\u0915 \u092E\u0947\u0902 \u0921\u0940\u0921 \u092C\
|
| 290 |
+
\u0941\u0915 \u0915\u093E \u0938\u0902\u0926\u0930\u094D\u092D \u0936\u093E\u092E\
|
| 291 |
+
\u093F\u0932 \u0925\u093E \u091C\u0939\u093E\u0902 \u0938\u093E\u092E\u093E\u0928\
|
| 292 |
+
\u094D\u092F \u092F\u094B\u091C\u0928\u093E \u0926\u0930\u094D\u091C \u0915\u0940\
|
| 293 |
+
\ \u0917\u0908 \u0925\u0940\u0964 2008 \u092E\u0947\u0902, \u0932\u093E\u0907\
|
| 294 |
+
\u092C\u094D\u0930\u0947\u0930\u093F\u092F\u0928 \u0928\u0947 \u0936\u093F\u0915\
|
| 295 |
+
\u094D\u0937\u0915 \u0915\u0947 \u0938\u093E\u0925 \u0905\u092A\u0928\u0947\
|
| 296 |
+
\ \u0939\u093F\u0938\u094D\u0938\u0947 \u0915\u094B \u0935\u093F\u092D\u093E\
|
| 297 |
+
\u091C\u093F\u0924 \u0915\u0930\u0928\u0947 \u0935\u093E\u0932\u0940 \u0930\u0947\
|
| 298 |
+
\u0916\u093E \u0915\u0947 \u0938\u093E\u0925-\u0938\u093E\u0925, \u0914\u0930\
|
| 299 |
+
\ \u092E\u0924\u093E\u0927\u093F\u0915\u093E\u0930 \u0905\u0927\u093F\u0915\u093E\
|
| 300 |
+
\u0930 \u0915\u0947 \u0905\u0927\u0940\u0928 \u0915\u094D\u0937\u0947\u0924\u094D\
|
| 301 |
+
\u0930 \u0915\u0947 \u0915\u0947\u0902\u0926\u094D\u0930 \u0915\u0947 \u0938\
|
| 302 |
+
\u093E\u0925 \u0938\u093E\u0924 \u092B\u0941\u091F \u0915\u0940 \u092A\u094B\
|
| 303 |
+
\u0938\u094D\u091F-\u090F\u0902\u0921-\u0930\u0947\u0932 \u092C\u093E\u0921\u093C\
|
| 304 |
+
\ \u0915\u093E \u0928\u093F\u0930\u094D\u092E\u093E\u0923 \u0936\u0941\u0930\
|
| 305 |
+
\u0942 \u0915\u093F\u092F\u093E\u0964 \u0939\u093E\u0932\u093E\u0901\u0915\u093F\
|
| 306 |
+
\ \u0936\u093F\u0915\u094D\u0937\u0915 \u0928\u0947 \u0907\u0938\u0915\u0947\
|
| 307 |
+
\ \u0928\u093F\u0930\u094D\u092E\u093E\u0923 \u092A\u0930 \u0906\u092A\u0924\
|
| 308 |
+
\u094D\u0924\u093F \u091C\u0924\u093E\u0908, \u0932\u0947\u0915\u093F\u0928\
|
| 309 |
+
\ \u092C\u093E\u0921\u093C \u0915\u093E \u0928\u093F\u0930\u094D\u092E\u093E\
|
| 310 |
+
\u0923 \u092A\u0942\u0930\u093E \u0939\u094B \u0917\u092F\u093E\u0964 \u092F\
|
| 311 |
+
\u0926\u093F \u0936\u093F\u0915\u094D\u0937\u0915 \u0932\u093E\u0907\u092C\u094D\
|
| 312 |
+
\u0930\u0947\u0930\u093F\u092F\u0928 \u0915\u0940 \u092C\u093E\u0921\u093C \u0915\
|
| 313 |
+
\u094B \u0939\u091F\u093E\u0928\u0947 \u0915\u0947 \u0932\u093F\u090F \u092C\
|
| 314 |
+
\u093E\u0927\u094D\u092F \u0915\u0930\u0928\u0947 \u0915\u0947 \u0932\u093F\u090F\
|
| 315 |
+
\ \u0905\u0928\u093F\u0935\u093E\u0930\u094D\u092F \u0928\u093F\u0937\u0947\u0927\
|
| 316 |
+
\u093E\u091C\u094D\u091E\u093E \u0915\u0940 \u092E\u093E\u0902\u0917 \u0915\u0930\
|
| 317 |
+
\u0924\u093E \u0939\u0948, \u0924\u094B \u0905\u0926\u093E\u0932\u0924 \u0938\
|
| 318 |
+
\u092C\u0938\u0947 \u0905\u0927\u093F\u0915 \u0938\u0902\u092D\u093E\u0935\u0928\
|
| 319 |
+
\u093E \u0939\u094B\u0917\u0940"
|
| 320 |
+
- input_choice_list:
|
| 321 |
+
A: "\u092A\u093F\u0924\u093E \u0915\u093E \u0935\u093E\u0926\u093E \u0914\u0930\
|
| 322 |
+
\ \u0909\u0938 \u092A\u0930 \u090B\u0923\u0926\u093E\u0924\u093E \u0915\u0940\
|
| 323 |
+
\ \u0928\u093F\u0930\u094D\u092D\u0930\u0924\u093E, \u092F\u0926\u093F \u0938\
|
| 324 |
+
\u093E\u092C\u093F\u0924 \u0939\u094B \u091C\u093E\u0924\u0940 \u0939\u0948\
|
| 325 |
+
, \u0924\u094B \u0935\u091A\u0928\u092C\u0902\u0927\u0928 \u0915\u0947 \u0938\
|
| 326 |
+
\u093F\u0926\u094D\u0927\u093E\u0902\u0924 \u0915\u0947 \u0906\u0927\u093E\
|
| 327 |
+
\u0930 \u092A\u0930 \u090B\u0923\u0926\u093E\u0924\u093E \u0926\u094D\u0935\
|
| 328 |
+
\u093E\u0930\u093E \u092A\u093F\u0924\u093E \u0915\u0947 \u0916\u093F\u0932\
|
| 329 |
+
\u093E\u092B \u090F\u0915 \u0935\u0948\u0927 \u0926\u093E\u0935\u0947 \u0915\
|
| 330 |
+
\u094B \u091C\u0928\u094D\u092E \u0926\u093F\u092F\u093E \u091C\u093E\u0924\
|
| 331 |
+
\u093E \u0939\u0948\u0964"
|
| 332 |
+
B: "\u0915\u094D\u092F\u094B\u0902\u0915\u093F \u092F\u0939 \u0905\u0928\u0941\
|
| 333 |
+
\u092E\u093E\u0928 \u0932\u0917\u093E\u092F\u093E \u091C\u093E \u0938\u0915\
|
| 334 |
+
\u0924\u093E \u0925\u093E \u0915\u093F \u092A\u093F\u0924\u093E \u0915\u093E\
|
| 335 |
+
\ \u0935\u093E\u0926\u093E \u0932\u0947\u0928\u0926\u093E\u0930 \u0915\u094B\
|
| 336 |
+
\ \u092C\u0947\u091F\u0947 \u0915\u0947 \u0916\u093F\u0932\u093E\u092B \u0915\
|
| 337 |
+
\u094B\u0908 \u092D\u0940 \u0915\u093E\u0930\u094D\u0930\u0935\u093E\u0908\
|
| 338 |
+
\ \u0915\u0930\u0928\u0947 \u0938\u0947 \u092E\u0928\u093E \u0915\u0930\u0928\
|
| 339 |
+
\u0947 \u0915\u0947 \u0932\u093F\u090F \u092A\u094D\u0930\u0947\u0930\u093F\
|
| 340 |
+
\u0924 \u0915\u0930\u0947\u0917\u093E, \u0907\u0938 \u0924\u0930\u0939 \u0915\
|
| 341 |
+
\u0940 \u0938\u0939\u0928\u0936\u0940\u0932\u0924\u093E, \u0915\u093E\u0928\
|
| 342 |
+
\u0942\u0928 \u0915\u0947 \u092E\u093E\u092E\u0932\u0947 \u092E\u0947\u0902\
|
| 343 |
+
, \u092A\u093F\u0924\u093E \u0915\u0947 \u0935\u093E\u0926\u0947 \u0915\u0947\
|
| 344 |
+
\ \u0932\u093F\u090F \u090F\u0915 \u0938\u094C\u0926\u093E \u0925\u0940\u0964"
|
| 345 |
+
C: "\u092A\u093F\u0924\u093E \u0926\u094D\u0935\u093E\u0930\u093E \u0932\u0947\
|
| 346 |
+
\u0928\u0926\u093E\u0930 \u0915\u094B \u0915\u0941\u0932 2,500 \u0921\u0949\
|
| 347 |
+
\u0932\u0930 \u0915\u0947 \u092A\u093E\u0901\u091A \u092D\u0941\u0917\u0924\
|
| 348 |
+
\u093E\u0928 \u0915\u0930\u0928\u0947 \u0938\u0947 \u092A\u093F\u0924\u093E\
|
| 349 |
+
\ \u0915\u0940 \u0913\u0930 \u0938\u0947 \u0938\u0902\u0935\u093F\u0926\u093E\
|
| 350 |
+
\u0924\u094D\u092E\u0915 \u0930\u0942\u092A \u0938\u0947 \u092C\u093E\u0927\
|
| 351 |
+
\u094D\u092F \u0939\u094B\u0928\u0947 \u0915\u093E \u0917\u0902\u092D\u0940\
|
| 352 |
+
\u0930 \u0907\u0930\u093E\u0926\u093E \u092A\u094D\u0930\u0915\u091F \u0939\
|
| 353 |
+
\u094B\u0924\u093E \u0939\u0948, \u0914\u0930 \u0907\u0938 \u0924\u0930\u0939\
|
| 354 |
+
\ \u0915\u0940 \u0905\u092D\u093F\u0935\u094D\u092F\u0915\u094D\u0924\u093F\
|
| 355 |
+
\ \u0915\u094B \u0906\u092E \u0924\u094C\u0930 \u092A\u0930 \u0935\u093F\u091A\
|
| 356 |
+
\u093E\u0930 \u0915\u0947 \u0932\u093F\u090F \u090F\u0915 \u092A\u094D\u0930\
|
| 357 |
+
\u092D\u093E\u0935\u0940 \u0935\u093F\u0915\u0932\u094D\u092A \u0915\u0947\
|
| 358 |
+
\ \u0930\u0942\u092A \u092E\u0947\u0902 \u092E\u093E\u0928\u094D\u092F\u0924\
|
| 359 |
+
\u093E \u0926\u0940 \u091C\u093E\u0924\u0940 \u0939\u0948\u0964"
|
| 360 |
+
D: "\u092C\u0947\u091F\u0947 \u0926\u094D\u0935\u093E\u0930\u093E \u0932\u0947\
|
| 361 |
+
\u0928\u0926\u093E\u0930 \u0915\u0947 \u092A\u094D\u0930\u0924\u093F \u0926\
|
| 362 |
+
\u0947\u092F \u092A\u0942\u0930\u094D\u0935\u0935\u0930\u094D\u0924\u0940\
|
| 363 |
+
\ \u090B\u0923 \u0926\u093E\u092F\u093F\u0924\u094D\u0935 \u0915\u094B \u092E\
|
| 364 |
+
\u093E\u0928\u0915\u0930, \u092A\u093F\u0924\u093E \u090F\u0915 \u091C\u093C\
|
| 365 |
+
\u092E\u093E\u0928\u0924 \u092C\u0928 \u0917\u092F\u093E \u091C\u093F\u0938\
|
| 366 |
+
\u0915\u093E \u0932\u0947\u0928\u0926\u093E\u0930 \u0938\u0947 \u0915\u093F\
|
| 367 |
+
\u092F\u093E \u0917\u092F\u093E \u0935\u093E\u0926\u093E \u0932\u093E\u0917\
|
| 368 |
+
\u0942 \u0915\u0930\u0928\u0947 \u092F\u094B\u0917\u094D\u092F \u0925\u093E\
|
| 369 |
+
, \u0915\u094D\u092F\u094B\u0902\u0915\u093F \u092F\u0939 \u0932\u093F\u0916\
|
| 370 |
+
\u093F\u0924 \u0930\u0942\u092A \u092E\u0947\u0902 \u0925\u093E \u0914\u0930\
|
| 371 |
+
\ \u092A\u0930\u094D\u092F\u093E\u092A\u094D\u0924 \u0935\u093F\u091A\u093E\
|
| 372 |
+
\u0930-\u0935\u093F\u092E\u0930\u094D\u0936 \u0926\u094D\u0935\u093E\u0930\
|
| 373 |
+
\u093E \u0938\u092E\u0930\u094D\u0925\u093F\u0924 \u0925\u093E\u0964"
|
| 374 |
+
input_correct_responses:
|
| 375 |
+
- A
|
| 376 |
+
input_question: "\u090F\u0915 \u092C\u0947\u091F\u0947 \u092A\u0930 \u090F\u0915\
|
| 377 |
+
\ \u0932\u0947\u0928\u0926\u093E\u0930 \u0915\u093E 5,000 \u0921\u0949\u0932\
|
| 378 |
+
\u0930 \u092C\u0915\u093E\u092F\u093E \u0925\u093E\u0964 \u092C\u0947\u091F\u0947\
|
| 379 |
+
\ \u0915\u0947 \u092A\u093F\u0924\u093E \u0928\u0947 \u0932\u0947\u0928\u0926\
|
| 380 |
+
\u093E\u0930 \u0938\u0947 \u0938\u0902\u092A\u0930\u094D\u0915 \u0915\u093F\u092F\
|
| 381 |
+
\u093E \u0914\u0930 \u0909\u0938\u0938\u0947 \u0915\u0939\u093E \u0915\u093F\
|
| 382 |
+
\ \u0935\u0939 \u092C\u0947\u091F\u0947 \u0915\u093E \u0915\u0930\u094D\u091C\
|
| 383 |
+
\ \u091A\u0941\u0915\u093E\u0928\u093E \u091A\u093E\u0939\u0924\u093E \u0939\
|
| 384 |
+
\u0948\u0964 \u092A\u093F\u0924\u093E \u0928\u0947 \u090F\u0915 \u0926\u0938\
|
| 385 |
+
\u094D\u0924\u093E\u0935\u0947\u091C\u093C \u092A\u0930 \u0939\u0938\u094D\u0924\
|
| 386 |
+
\u093E\u0915\u094D\u0937\u0930 \u0915\u093F\u090F \u091C\u093F\u0938\u092E\u0947\
|
| 387 |
+
\u0902 \u0915\u0939\u093E \u0917\u092F\u093E \u0925\u093E \u0915\u093F \u092A\
|
| 388 |
+
\u093F\u0924\u093E 10 \u092E\u0939\u0940\u0928\u0947 \u0924\u0915 500 \u0921\
|
| 389 |
+
\u0949\u0932\u0930 \u092A\u094D\u0930\u0924\u093F \u092E\u093E\u0939 \u0915\u0940\
|
| 390 |
+
\ \u0926\u0930 \u0938\u0947 \u092C\u0947\u091F\u0947 \u0915\u093E \u0915\u0930\
|
| 391 |
+
\u094D\u091C\u093C \u091A\u0941\u0915\u093E\u090F\u0917\u093E\u0964 \u0932\u0947\
|
| 392 |
+
\u0928\u0926\u093E\u0930 \u0928\u0947 5,000 \u0921\u0949\u0932\u0930 \u0915\u093E\
|
| 393 |
+
\ \u0915\u0930\u094D\u091C\u093C \u0935\u0938\u0942\u0932\u0928\u0947 \u0915\
|
| 394 |
+
\u0947 \u0932\u093F\u090F \u092C\u0947\u091F\u0947 \u092A\u0930 \u092E\u0941\
|
| 395 |
+
\u0915\u0926\u092E\u093E \u0915\u0930\u0928\u0947 \u0938\u0947 \u0930\u094B\u0915\
|
| 396 |
+
\u0928\u0947 \u0915\u0947 \u0932\u093F\u090F \u0915\u094B\u0908 \u0932\u093F\
|
| 397 |
+
\u0916\u093F\u0924 \u092F\u093E \u092E\u094C\u0916\u093F\u0915 \u092A\u094D\u0930\
|
| 398 |
+
\u0924\u093F\u092C\u0926\u094D\u0927\u0924\u093E \u0928\u0939\u0940\u0902 \u091C\
|
| 399 |
+
\u0924\u093E\u0908, \u0914\u0930 \u092A\u093F\u0924\u093E \u0928\u0947 \u092D\
|
| 400 |
+
\u0940 \u0910\u0938\u0940 \u0915\u093F\u0938\u0940 \u092D\u0940 \u0930\u094B\
|
| 401 |
+
\u0915 \u0915\u0947 \u0932\u093F\u090F \u0915\u094B\u0908 \u092E\u094C\u0916\
|
| 402 |
+
\u093F\u0915 \u092F\u093E \u0932\u093F\u0916\u093F\u0924 \u0905\u0928\u0941\u0930\
|
| 403 |
+
\u094B\u0927 \u0928\u0939\u0940\u0902 \u0915\u093F\u092F\u093E\u0964 \u0905\u0917\
|
| 404 |
+
\u0932\u0947 \u092A\u093E\u0901\u091A \u092E\u0939\u0940\u0928\u094B\u0902 \u0915\
|
| 405 |
+
\u0947 \u0932\u093F\u090F, \u092A\u093F\u0924\u093E \u0928\u0947 \u092D\u0941\
|
| 406 |
+
\u0917\u0924\u093E\u0928 \u0915\u093F\u092F\u093E \u0914\u0930 \u0932\u0947\u0928\
|
| 407 |
+
\u0926\u093E\u0930 \u0928\u0947 \u0938\u0939\u092E\u0924\u093F \u0915\u0947\
|
| 408 |
+
\ \u0905\u0928\u0941\u0938\u093E\u0930 $500 \u0915\u093E \u092E\u093E\u0938\u093F\
|
| 409 |
+
\u0915 \u092D\u0941\u0917\u0924\u093E\u0928 \u0938\u094D\u0935\u0940\u0915\u093E\
|
| 410 |
+
\u0930 \u0915\u0930 \u0932\u093F\u092F\u093E\u0964 \u0909\u0938 \u0905\u0935\
|
| 411 |
+
\u0927\u093F \u0915\u0947 \u0926\u094C\u0930\u093E\u0928, \u090B\u0923\u0926\
|
| 412 |
+
\u093E\u0924\u093E \u0928\u0947, \u0935\u093E\u0938\u094D\u0924\u0935 \u092E\
|
| 413 |
+
\u0947\u0902, \u092C\u0947\u091F\u0947 \u0915\u0947 \u0916\u093F\u0932\u093E\
|
| 414 |
+
\u092B \u0915\u094B\u0908 \u092D\u0940 \u0915\u093E\u0928\u0942\u0928\u0940\
|
| 415 |
+
\ \u0915\u093E\u0930\u094D\u0930\u0935\u093E\u0908 \u0915\u0930\u0928\u0947\
|
| 416 |
+
\ \u0938\u0947 \u092E\u0928\u093E \u0915\u0930 \u0926\u093F\u092F\u093E\u0964\
|
| 417 |
+
\ \u0939\u093E\u0932\u093E\u0901\u0915\u093F, \u0924\u092C \u092A\u093F\u0924\
|
| 418 |
+
\u093E \u0928\u0947 \u0932\u0947\u0928\u0926\u093E\u0930 \u0915\u094B \u0938\
|
| 419 |
+
\u0942\u091A\u093F\u0924 \u0915\u093F\u092F\u093E \u0915\u093F \u0935\u0939\
|
| 420 |
+
\ \u090B\u0923 \u092A\u0930 \u0915\u094B\u0908 \u0914\u0930 \u092D\u0941\u0917\
|
| 421 |
+
\u0924\u093E\u0928 \u0928\u0939\u0940\u0902 \u0915\u0930\u0947\u0917\u093E\u0964\
|
| 422 |
+
\ \u0928\u093F\u092E\u094D\u0928\u0932\u093F\u0916\u093F\u0924 \u092E\u0947\u0902\
|
| 423 |
+
\ \u0938\u0947 \u0915\u094C\u0928 \u0938\u093E \u0938\u092C\u0938\u0947 \u092A\
|
| 424 |
+
\u094D\u0930\u0947\u0930\u0915 \u0924\u0930\u094D\u0915 \u0939\u0948 \u0915\u093F\
|
| 425 |
+
\ \u092A\u093F\u0924\u093E \u0905\u092A\u0928\u0947 \u0938\u092E\u091D\u094C\
|
| 426 |
+
\u0924\u0947 \u0915\u0940 \u0936\u0930\u094D\u0924\u094B\u0902 \u0915\u0947\
|
| 427 |
+
\ \u0924\u0939\u0924 \u090B\u0923\u0926\u093E\u0924\u093E \u0915\u0947 \u092A\
|
| 428 |
+
\u094D\u0930\u0924\u093F \u0909\u0924\u094D\u0924\u0930\u0926\u093E\u092F\u0940\
|
| 429 |
+
\ \u0939\u0948?"
|
| 430 |
+
include: _continuation_template_yaml
|
| 431 |
+
process_docs: !function utils.process_docs_professional_law
|
| 432 |
+
tag: mmlu_hi_llama_humanities_tasks
|
| 433 |
+
task: mmlu_hi_llama_professional_law
|
| 434 |
+
task_alias: professional_law
|
lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_hi/mmlu_hi_professional_medicine.yaml
ADDED
|
@@ -0,0 +1,261 @@
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|
|
|
| 1 |
+
fewshot_config:
|
| 2 |
+
sampler: first_n
|
| 3 |
+
samples:
|
| 4 |
+
- input_choice_list:
|
| 5 |
+
A: "\u0932\u0947\u092C\u0947\u091F\u093E\u0932\u094B\u0932"
|
| 6 |
+
B: "\u092A\u094B\u091F\u0947\u0936\u093F\u092F\u092E \u0915\u094D\u0932\u094B\
|
| 7 |
+
\u0930\u093E\u0907\u0921 \u0915\u0940 \u090F\u0915 \u0932\u094B\u0921\u093F\
|
| 8 |
+
\u0902\u0917 \u0916\u0941\u0930\u093E\u0915"
|
| 9 |
+
C: nifedipine
|
| 10 |
+
D: "\u092B\u0947\u0928\u094B\u0915\u094D\u0938\u0940\u092C\u0947\u0902\u091C\
|
| 11 |
+
\u093C\u093E\u092E\u093E\u0907\u0928"
|
| 12 |
+
input_correct_responses:
|
| 13 |
+
- D
|
| 14 |
+
input_question: "\u090F\u0915 42 \u0935\u0930\u094D\u0937\u0940\u092F \u0935\u094D\
|
| 15 |
+
\u092F\u0915\u094D\u0924\u093F 2 \u0938\u092A\u094D\u0924\u093E\u0939 \u092E\
|
| 16 |
+
\u0947\u0902 \u0928\u093F\u0930\u094D\u0927\u093E\u0930\u093F\u0924 \u090F\u0921\
|
| 17 |
+
\u094D\u0930\u0947\u0928\u093E\u0932\u0947\u0915\u094D\u091F\u0949\u092E\u0940\
|
| 18 |
+
\ \u0938\u0947 \u0917\u0941\u091C\u0930\u0928\u0947 \u0938\u0947 \u092A\u0939\
|
| 19 |
+
\u0932\u0947 \u092A\u094D\u0930\u0940\u0911\u092A\u0930\u0947\u091F\u093F\u0935\
|
| 20 |
+
\ \u092E\u0942\u0932\u094D\u092F\u093E\u0902\u0915\u0928 \u0915\u0947 \u0932\
|
| 21 |
+
\u093F\u090F \u0915\u093E\u0930\u094D\u092F\u093E\u0932\u092F \u092E\u0947\u0902\
|
| 22 |
+
\ \u0906\u0924\u093E \u0939\u0948\u0964 \u090F\u0915 \u092E\u0939\u0940\u0928\
|
| 23 |
+
\u0947 \u092A\u0939\u0932\u0947, \u090F\u0915 \u092E\u094B\u091F\u0930 \u0935\
|
| 24 |
+
\u093E\u0939\u0928 \u0915\u0940 \u091F\u0915\u094D\u0915\u0930 \u0915\u0947\
|
| 25 |
+
\ \u092C\u093E\u0926 \u0909\u0928\u0915\u0947 \u0926\u093E\u0939\u093F\u0928\
|
| 26 |
+
\u0947 \u092A\u093E\u0930\u094D\u0936\u094D\u0935 \u092E\u0947\u0902 \u0926\u0930\
|
| 27 |
+
\u094D\u0926 \u0915\u0947 \u0915\u093E\u0930\u0923 \u0909\u0928\u094D\u0939\u0947\
|
| 28 |
+
\u0902 \u0906\u092A\u093E\u0924\u0915\u093E\u0932\u0940\u0928 \u0935\u093F\u092D\
|
| 29 |
+
\u093E\u0917 \u092E\u0947\u0902 \u0926\u0947\u0916\u092D\u093E\u0932 \u092E\u093F\
|
| 30 |
+
\u0932\u0940 \u0925\u0940\u0964 \u0909\u0938 \u0938\u092E\u092F, \u0930\u0915\
|
| 31 |
+
\u094D\u0924\u091A\u093E\u092A 160/100 \u092E\u093F\u092E\u0940 \u090F\u091A\
|
| 32 |
+
\u091C\u0940 \u0925\u093E \u0914\u0930 \u092A\u0947\u091F \u0915\u0947 \u0938\
|
| 33 |
+
\u0940\u091F\u0940 \u0938\u094D\u0915\u0948\u0928 \u092E\u0947\u0902 \u0906\u0915\
|
| 34 |
+
\u0938\u094D\u092E\u093F\u0915 10-\u0938\u0947\u092E\u0940 \u092C\u093E\u090F\
|
| 35 |
+
\u0902 \u0905\u0927\u093F\u0935\u0943\u0915\u094D\u0915 \u0926\u094D\u0930\u0935\
|
| 36 |
+
\u094D\u092F\u092E\u093E\u0928 \u0926\u093F\u0916\u093E\u0964 \u0938\u0902\u092A\
|
| 37 |
+
\u0942\u0930\u094D\u0923 \u0930\u0915\u094D\u0924 \u0917\u0923\u0928\u093E,\
|
| 38 |
+
\ \u0938\u0940\u0930\u092E \u0907\u0932\u0947\u0915\u094D\u091F\u094D\u0930\u094B\
|
| 39 |
+
\u0932\u093E\u0907\u091F \u0938\u093E\u0902\u0926\u094D\u0930\u0924\u093E \u0914\
|
| 40 |
+
\u0930 \u092F\u0915\u0943\u0924 \u0915\u093E\u0930\u094D\u092F \u092A\u0930\u0940\
|
| 41 |
+
\u0915\u094D\u0937\u0923 \u0938\u0939\u093F\u0924 \u092A\u094D\u0930\u092F\u094B\
|
| 42 |
+
\u0917\u0936\u093E\u0932\u093E \u0905\u0927\u094D\u092F\u092F\u0928\u094B\u0902\
|
| 43 |
+
\ \u0915\u0947 \u092A\u0930\u093F\u0923\u093E\u092E \u0938\u0902\u0926\u0930\
|
| 44 |
+
\u094D\u092D \u0938\u0940\u092E\u093E \u0915\u0947 \u092D\u0940\u0924\u0930\
|
| 45 |
+
\ \u0925\u0947\u0964 \u0905\u0928\u094D\u092F\u0925\u093E \u0930\u094B\u0917\
|
| 46 |
+
\u0940 \u0938\u094D\u0935\u0938\u094D\u0925 \u0925\u093E \u0914\u0930 \u0909\
|
| 47 |
+
\u0938\u0947 \u0915\u092D\u0940 \u0928\u0939\u0940\u0902 \u092C\u0924\u093E\u092F\
|
| 48 |
+
\u093E \u0917\u092F\u093E \u0915\u093F \u0909\u0938\u0915\u093E \u0930\u0915\
|
| 49 |
+
\u094D\u0924\u091A\u093E\u092A \u092C\u0922\u093C\u093E \u0939\u0941\u0906 \u0939\
|
| 50 |
+
\u0948\u0964 \u0935\u0939 \u0915\u094B\u0908 \u0926\u0935\u093E \u0928\u0939\
|
| 51 |
+
\u0940\u0902 \u0932\u0947\u0924\u093E. 2 \u0938\u092A\u094D\u0924\u093E\u0939\
|
| 52 |
+
\ \u092A\u0939\u0932\u0947 \u0915\u093E\u0930\u094D\u092F\u093E\u0932\u092F\
|
| 53 |
+
\ \u092E\u0947\u0902 \u090F\u0915 \u0905\u0928\u0941\u0935\u0930\u094D\u0924\
|
| 54 |
+
\u0940 \u092F\u093E\u0924\u094D\u0930\u093E \u092E\u0947\u0902 \u092E\u0942\u0924\
|
| 55 |
+
\u094D\u0930 \u092E\u0947\u0902 \u0928\u0949\u0930\u092E\u0947\u091F\u0947\u0928\
|
| 56 |
+
\u092B\u094D\u0930\u093F\u0928 \u0914\u0930 \u092E\u0947\u091F\u093E\u0928\u0947\
|
| 57 |
+
\u092B\u094D\u0930\u093F\u0928 \u0914\u0930 \u092A\u094D\u0932\u093E\u091C\u094D\
|
| 58 |
+
\u092E\u093E \u090F\u0932\u094D\u0921\u094B\u0938\u094D\u091F\u0947\u0930\u094B\
|
| 59 |
+
\u0928 \u0938\u093E\u0902\u0926\u094D\u0930\u0924\u093E \u092E\u0947\u0902 \u0935\
|
| 60 |
+
\u0943\u0926\u094D\u0927\u093F \u0915\u093E \u092A\u0924\u093E \u091A\u0932\u093E\
|
| 61 |
+
\u0964 \u092E\u0930\u0940\u091C \u0915\u094B \u090F\u0915 \u0938\u0930\u094D\
|
| 62 |
+
\u091C\u0928 \u0915\u0947 \u092A\u093E\u0938 \u092D\u0947\u091C\u093E \u0917\
|
| 63 |
+
\u092F\u093E, \u091C\u093F\u0938\u0928\u0947 \u090F\u0921\u094D\u0930\u0947\u0928\
|
| 64 |
+
\u093E\u0932\u0947\u0915\u094D\u091F\u0949\u092E\u0940 \u0915\u0940 \u0938\u093F\
|
| 65 |
+
\u092B\u093E\u0930\u093F\u0936 \u0915\u0940\u0964 \u0906\u091C, \u092E\u0939\
|
| 66 |
+
\u0924\u094D\u0935\u092A\u0942\u0930\u094D\u0923 \u0938\u0902\u0915\u0947\u0924\
|
| 67 |
+
\ \u0939\u0948\u0902 \u0924\u093E\u092A\u092E\u093E\u0928 36.6 \u0921\u093F\u0917\
|
| 68 |
+
\u094D\u0930\u0940 \u0938\u0947\u0932\u094D\u0938\u093F\u092F\u0938 (97.9 \u0921\
|
| 69 |
+
\u093F\u0917\u094D\u0930\u0940 \u092B\u093C\u093E\u0930\u0947\u0928\u0939\u093E\
|
| 70 |
+
\u0907\u091F), \u0928\u093E\u0921\u093C\u0940 100/\u092E\u093F\u0928\u091F,\
|
| 71 |
+
\ \u0936\u094D\u0935\u0938\u0928 14/\u092E\u093F\u0928\u091F, \u0914\u0930 \u0930\
|
| 72 |
+
\u0915\u094D\u0924\u091A\u093E\u092A 170/95 \u092E\u093F\u092E\u0940 \u090F\u091A\
|
| 73 |
+
\u091C\u0940\u0964 \u0936\u093E\u0930\u0940\u0930\u093F\u0915 \u092A\u0930\u0940\
|
| 74 |
+
\u0915\u094D\u0937\u0923 \u0938\u0947 \u0915\u094B\u0908 \u092E\u0939\u0924\u094D\
|
| 75 |
+
\u0935\u092A\u0942\u0930\u094D\u0923 \u0928\u093F\u0937\u094D\u0915\u0930\u094D\
|
| 76 |
+
\u0937 \u0928\u0939\u0940\u0902 \u0928\u093F\u0915\u0932\u0924\u093E\u0964 \u092A\
|
| 77 |
+
\u094D\u0930\u093E\u0930\u0902\u092D\u093F\u0915 \u092A\u094D\u0930\u0940\u0911\
|
| 78 |
+
\u092A\u0930\u0947\u091F\u093F\u0935 \u0924\u0948\u092F\u093E\u0930\u0940 \u092E\
|
| 79 |
+
\u0947\u0902 \u0928\u093F\u092E\u094D\u0928\u0932\u093F\u0916\u093F\u0924 \u092E\
|
| 80 |
+
\u0947\u0902 \u0938\u0947 \u0915\u093F\u0938\u0915\u0947 \u0938\u093E\u0925\
|
| 81 |
+
\ \u0909\u092A\u091A\u093E\u0930 \u0936\u093E\u092E\u093F\u0932 \u0939\u094B\
|
| 82 |
+
\u0928\u093E \u091A\u093E\u0939\u093F\u090F?"
|
| 83 |
+
- input_choice_list:
|
| 84 |
+
A: "\u092C\u093E\u092F\u0940\u0902 \u0913\u0930 \u092C\u093E\u092F\u0940\u0902\
|
| 85 |
+
\ \u0913\u0930 \u0924\u094D\u0930\u093F\u0915 \u092E\u0930\u094B\u0921\u093C"
|
| 86 |
+
B: "\u092C\u093E\u090F\u0902-\u092A\u0930-\u0926\u093E\u090F\u0902 \u0924\u094D\
|
| 87 |
+
\u0930\u093F\u0915 \u092E\u0930\u094B\u0921\u093C"
|
| 88 |
+
C: "\u0926\u093E\u092F\u093E\u0902 \u090F\u0915\u0924\u0930\u092B\u093E \u0924\
|
| 89 |
+
\u094D\u0930\u093F\u0915 \u092E\u094B\u0921\u093C"
|
| 90 |
+
D: "\u0926\u093E\u090F\u0902-\u092A\u0930-\u0926\u093E\u090F\u0902 \u0924\u094D\
|
| 91 |
+
\u0930\u093F\u0915 \u092E\u0930\u094B\u0921\u093C"
|
| 92 |
+
input_correct_responses:
|
| 93 |
+
- D
|
| 94 |
+
input_question: "\u090F\u0915 36 \u0935\u0930\u094D\u0937\u0940\u092F \u092A\u0941\
|
| 95 |
+
\u0930\u0941\u0937 \u092A\u0940\u0920 \u0915\u0947 \u0928\u093F\u091A\u0932\u0947\
|
| 96 |
+
\ \u0939\u093F\u0938\u094D\u0938\u0947 \u092E\u0947\u0902 \u0926\u0930\u094D\
|
| 97 |
+
\u0926 \u0915\u0947 3 \u0938\u092A\u094D\u0924\u093E\u0939 \u0915\u0947 \u0907\
|
| 98 |
+
\u0924\u093F\u0939\u093E\u0938 \u0915\u0947 \u0938\u093E\u0925 \u0915\u093E\u0930\
|
| 99 |
+
\u094D\u092F\u093E\u0932\u092F \u092E\u0947\u0902 \u0909\u092A\u0938\u094D\u0925\
|
| 100 |
+
\u093F\u0924 \u0939\u094B\u0924\u093E \u0939\u0948\u0964 \u0935\u0939 \u0915\
|
| 101 |
+
\u093F\u0938\u0940 \u092D\u0940 \u0939\u093E\u0932\u093F\u092F\u093E \u0906\u0918\
|
| 102 |
+
\u093E\u0924 \u0938\u0947 \u0907\u0928\u0915\u093E\u0930 \u0915\u0930\u0924\u093E\
|
| 103 |
+
\ \u0939\u0948 \u0932\u0947\u0915\u093F\u0928 \u0915\u0939\u0924\u093E \u0939\
|
| 104 |
+
\u0948 \u0915\u093F \u0935\u0939 \u0905\u092A\u0928\u0947 \u0915\u093E\u092E\
|
| 105 |
+
\ \u0915\u0947 \u0932\u093F\u090F \u0926\u093F\u0928 \u092E\u0947\u0902 \u0915\
|
| 106 |
+
\u0908 \u092C\u093E\u0930 \u0905\u092A\u0928\u0947 \u091F\u094D\u0930\u0915\
|
| 107 |
+
\ \u092E\u0947\u0902 \u091A\u0922\u093C\u0924\u093E \u0914\u0930 \u0909\u0924\
|
| 108 |
+
\u0930\u0924\u093E \u0939\u0948\u0964 \u092A\u094D\u0930\u0935\u0923 \u0938\u094D\
|
| 109 |
+
\u0925\u093F\u0924\u093F \u092E\u0947\u0902 \u0930\u094B\u0917\u0940 \u0915\u0940\
|
| 110 |
+
\ \u091C\u093E\u0902\u091A \u0938\u0947 \u092C\u093E\u0908\u0902 \u0913\u0930\
|
| 111 |
+
\ \u090F\u0915 \u0917\u0939\u0930\u0940 \u0924\u094D\u0930\u093F\u0915 \u0938\
|
| 112 |
+
\u0932\u094D\u0915\u0938, \u0926\u093E\u0908\u0902 \u0913\u0930 \u090F\u0915\
|
| 113 |
+
\ \u092A\u0936\u094D\u091A \u0905\u0935\u0930 \u092A\u093E\u0930\u094D\u0936\
|
| 114 |
+
\u094D\u0935 \u0915\u094B\u0923 \u0914\u0930 \u090F\u0915 \u0932\u0941\u0902\
|
| 115 |
+
\u092C\u094B\u0938\u0948\u0915\u094D\u0930\u0932 \u091C\u0902\u0915\u094D\u0936\
|
| 116 |
+
\u0928 \u0915\u093E \u092A\u0924\u093E \u091A\u0932\u0924\u093E \u0939\u0948\
|
| 117 |
+
\ \u091C\u094B \u0938\u0902\u092A\u0940\u0921\u093C\u0928 \u092A\u0930 \u0938\
|
| 118 |
+
\u094D\u0935\u0924\u0902\u0924\u094D\u0930 \u0930\u0942\u092A \u0938\u0947 \u0909\
|
| 119 |
+
\u092D\u0930\u0924\u093E \u0939\u0948\u0964 \u0938\u092C\u0938\u0947 \u0938\u0902\
|
| 120 |
+
\u092D\u093E\u0935\u093F\u0924 \u0928\u093F\u0926\u093E\u0928 \u0939\u0948"
|
| 121 |
+
- input_choice_list:
|
| 122 |
+
A: "\u0921\u094B\u092A\u093E\u092E\u093E\u0907\u0928"
|
| 123 |
+
B: "\u0917\u094D\u0932\u0942\u091F\u093E\u092E\u0947\u091F"
|
| 124 |
+
C: "\u0928\u0949\u0930\u092A\u0947\u0928\u0947\u092B\u094D\u0930\u093F\u0928"
|
| 125 |
+
D: "\u0938\u0947\u0930\u094B\u091F\u094B\u0928\u093F\u0928"
|
| 126 |
+
input_correct_responses:
|
| 127 |
+
- D
|
| 128 |
+
input_question: "\u090F\u0915 \u092A\u0939\u0932\u0947 \u0938\u0947 \u0938\u094D\
|
| 129 |
+
\u0935\u0938\u094D\u0925 32 \u0935\u0930\u094D\u0937\u0940\u092F \u092E\u0939\
|
| 130 |
+
\u093F\u0932\u093E \u0905\u092A\u0928\u0947 \u092A\u0924\u093F \u0915\u0940\
|
| 131 |
+
\ \u0915\u093E\u0930 \u0926\u0941\u0930\u094D\u0918\u091F\u0928\u093E \u092E\
|
| 132 |
+
\u0947\u0902 \u092E\u0943\u0924\u094D\u092F\u0941 \u0915\u0947 8 \u092E\u0939\
|
| 133 |
+
\u0940\u0928\u0947 \u092C\u093E\u0926 \u091A\u093F\u0915\u093F\u0924\u094D\u0938\
|
| 134 |
+
\u0915 \u0915\u0947 \u092A\u093E\u0938 \u0906\u0924\u0940 \u0939\u0948\u0964\
|
| 135 |
+
\ \u0909\u0938 \u0938\u092E\u092F \u0938\u0947, \u0909\u0938\u0915\u0940 \u092D\
|
| 136 |
+
\u0942\u0916 \u0915\u092E \u0939\u094B \u0917\u0908 \u0939\u0948 \u0914\u0930\
|
| 137 |
+
\ \u0938\u094B\u0928\u0947 \u092E\u0947\u0902 \u0915\u0920\u093F\u0928\u093E\
|
| 138 |
+
\u0908 \u0939\u094B \u0930\u0939\u0940 \u0939\u0948\u0964 \u0935\u0939 \u092C\
|
| 139 |
+
\u0924\u093E\u0924\u0940 \u0939\u0948\u0902 \u0915\u093F \u0935\u0939 \u0905\
|
| 140 |
+
\u0915\u094D\u0938\u0930 \u0909\u0926\u093E\u0938 \u0930\u0939\u0924\u0940 \u0939\
|
| 141 |
+
\u0948\u0902 \u0914\u0930 \u092C\u093E\u0930-\u092C\u093E\u0930 \u0930\u094B\
|
| 142 |
+
\u0924\u0940 \u0939\u0948\u0902\u0964 \u0935\u0939 \u0905\u092A\u0928\u093E\
|
| 143 |
+
\ \u0918\u0930 \u091B\u094B\u0921\u093C\u0928\u0947 \u0938\u0947 \u092A\u0939\
|
| 144 |
+
\u0932\u0947 \u092A\u093E\u0902\u091A \u092C\u093E\u0930 \u0926\u0930\u0935\u093E\
|
| 145 |
+
\u091C\u0947 \u0915\u0947 \u0924\u093E\u0932\u0947 \u0915\u0940 \u091C\u093E\
|
| 146 |
+
\u0902\u091A \u0915\u0930 \u0930\u0939\u0940 \u0939\u0948 \u0914\u0930 \u0909\
|
| 147 |
+
\u0938\u0947 \u0907\u0938\u094D\u0924\u0947\u092E\u093E\u0932 \u0915\u0930\u0928\
|
| 148 |
+
\u0947 \u0938\u0947 \u092A\u0939\u0932\u0947 \u091F\u0949\u092F\u0932\u0947\u091F\
|
| 149 |
+
\ \u092A\u0947\u092A\u0930 \u0915\u0947 \u0920\u0940\u0915 \u092A\u093E\u0902\
|
| 150 |
+
\u091A \u091F\u0941\u0915\u0921\u093C\u0947 \u0917\u093F\u0928\u0928\u0947 \u092A\
|
| 151 |
+
\u0921\u093C\u0924\u0947 \u0939\u0948\u0902\u0964 \u0935\u0939 \u0915\u0939\u0924\
|
| 152 |
+
\u0940 \u0939\u0948\u0902 \u0915\u093F \u0935\u0939 \u0939\u092E\u0947\u0936\
|
| 153 |
+
\u093E \u0938\u0947 \u092A\u0930\u092B\u0947\u0915\u094D\u0936\u0928\u093F\u0938\
|
| 154 |
+
\u094D\u091F \u0930\u0939\u0940 \u0939\u0948\u0902 \u0932\u0947\u0915\u093F\u0928\
|
| 155 |
+
\ \u092F\u0947 \u0906\u0917\u094D\u0930\u0939 \u0914\u0930 \u0905\u0928\u0941\
|
| 156 |
+
\u0937\u094D\u0920\u093E\u0928 \u0928\u090F \u0939\u0948\u0902\u0964 \u092B\u093E\
|
| 157 |
+
\u0930\u094D\u092E\u093E\u0915\u094B\u0925\u0947\u0930\u0947\u092A\u0940 \u0915\
|
| 158 |
+
\u094B \u0928\u093F\u092E\u094D\u0928\u0932\u093F\u0916\u093F\u0924 \u092E\u0947\
|
| 159 |
+
\u0902 \u0938\u0947 \u0915\u093F\u0938 \u0928\u094D\u092F\u0942\u0930\u094B\u091F\
|
| 160 |
+
\u094D\u0930\u093E\u0902\u0938\u092E\u0940\u091F\u0930 \u092A\u0930 \u0932\u0915\
|
| 161 |
+
\u094D\u0937\u093F\u0924 \u0915\u093F\u092F\u093E \u091C\u093E\u0928\u093E \u091A\
|
| 162 |
+
\u093E\u0939\u093F\u090F?"
|
| 163 |
+
- input_choice_list:
|
| 164 |
+
A: "\u090F\u0932\u0930\u094D\u091C\u0940 \u0930\u093F\u0928\u093F\u0925\u093F\
|
| 165 |
+
\u0938"
|
| 166 |
+
B: "\u090F\u092A\u0938\u094D\u091F\u0940\u0928 \u092C\u093E\u0930 \u0935\u093E\
|
| 167 |
+
\u092F\u0930\u0938"
|
| 168 |
+
C: "\u092E\u093E\u0907\u0915\u094B\u092A\u094D\u0932\u093E\u091C\u094D\u092E\
|
| 169 |
+
\u093E \u0928\u093F\u092E\u094B\u0928\u093F\u092F\u093E"
|
| 170 |
+
D: rhinovirus
|
| 171 |
+
input_correct_responses:
|
| 172 |
+
- D
|
| 173 |
+
input_question: "\u090F\u0915 44 \u0935\u0930\u094D\u0937\u0940\u092F \u0935\u094D\
|
| 174 |
+
\u092F\u0915\u094D\u0924\u093F \u0917\u0932\u0947 \u092E\u0947\u0902 \u0916\u0930\
|
| 175 |
+
\u093E\u0936, \u0905\u0928\u0941\u0924\u094D\u092A\u093E\u0926\u0915 \u0916\u093E\
|
| 176 |
+
\u0902\u0938\u0940, \u0928\u093E\u0915 \u092C\u0939\u0928\u0947 \u0914\u0930\
|
| 177 |
+
\ \u0932\u0932\u093E\u091F \u0938\u093F\u0930\u0926\u0930\u094D\u0926 \u0915\
|
| 178 |
+
\u0947 3 \u0926\u093F\u0928 \u0915\u0947 \u0907\u0924\u093F\u0939\u093E\u0938\
|
| 179 |
+
\ \u0915\u0947 \u0915\u093E\u0930\u0923 \u0915\u093E\u0930\u094D\u092F\u093E\
|
| 180 |
+
\u0932\u092F \u0906\u0924\u093E \u0939\u0948\u0964 \u0909\u0928\u0915\u093E\
|
| 181 |
+
\ \u0915\u0939\u0928\u093E \u0939\u0948 \u0915\u093F \u0938\u093F\u0930\u0926\
|
| 182 |
+
\u0930\u094D\u0926 \u0938\u0941\u092C\u0939 \u0915\u0947 \u0938\u092E\u092F\
|
| 183 |
+
\ \u0905\u0927\u093F\u0915 \u0939\u094B\u0924\u093E \u0939\u0948 \u0914\u0930\
|
| 184 |
+
\ \u0907\u092C\u0941\u092A\u094D\u0930\u094B\u092B\u0947\u0928 \u0938\u0947\
|
| 185 |
+
\ \u0915\u0941\u091B \u0930\u093E\u0939\u0924 \u092E\u093F\u0932\u0924\u0940\
|
| 186 |
+
\ \u0939\u0948\u0964 \u0909\u0928\u094D\u0939\u0947\u0902 \u0938\u093E\u0902\
|
| 187 |
+
\u0938 \u0915\u0940 \u0924\u0915\u0932\u0940\u092B \u0928\u0939\u0940\u0902\
|
| 188 |
+
\ \u0939\u0941\u0908 \u0939\u0948. \u091A\u093F\u0915\u093F\u0924\u094D\u0938\
|
| 189 |
+
\u093E \u0907\u0924\u093F\u0939\u093E\u0938 \u0909\u0932\u094D\u0932\u0947\u0916\
|
| 190 |
+
\u0928\u0940\u092F \u0928\u0939\u0940\u0902 \u0939\u0948. \u0935\u0939 \u0926\
|
| 191 |
+
\u0930\u094D\u0926 \u0915\u0947 \u0932\u093F\u090F \u0907\u092C\u0941\u092A\u094D\
|
| 192 |
+
\u0930\u094B\u092B\u0947\u0928 \u0915\u0947 \u0905\u0932\u093E\u0935\u093E \u0915\
|
| 193 |
+
\u094B\u0908 \u0926\u0935\u093E \u0928\u0939\u0940\u0902 \u0932\u0947\u0924\u093E\
|
| 194 |
+
\ \u0939\u0948\u0964 \u092E\u0939\u0924\u094D\u0935\u092A\u0942\u0930\u094D\u0923\
|
| 195 |
+
\ \u0938\u0902\u0915\u0947\u0924 \u0924\u093E\u092A\u092E\u093E\u0928 37.4 \u0921\
|
| 196 |
+
\u093F\u0917\u094D\u0930\u0940 \u0938\u0947\u0932\u094D\u0938\u093F\u092F\u0938\
|
| 197 |
+
\ (99.4 \u0921\u093F\u0917\u094D\u0930\u0940 \u092B\u093C\u093E\u0930\u0947\u0928\
|
| 198 |
+
\u0939\u093E\u0907\u091F), \u0928\u093E\u0921\u093C\u0940 88/\u092E\u093F\u0928\
|
| 199 |
+
\u091F, \u0936\u094D\u0935\u0938\u0928 18/\u092E\u093F\u0928\u091F \u0914\u0930\
|
| 200 |
+
\ \u0930\u0915\u094D\u0924\u091A\u093E\u092A 120/84 \u092E\u093F\u092E\u0940\
|
| 201 |
+
\ \u090F\u091A\u091C\u0940 \u0939\u0948\u0902\u0964 \u0928\u093E\u0921\u093C\
|
| 202 |
+
\u093F\u092F\u094B\u0902 \u0915\u0940 \u091C\u093E\u0902\u091A \u0938\u0947\
|
| 203 |
+
\ \u090F\u0930\u093F\u0925\u0947\u092E\u0947\u091F\u0938 \u0936\u094D\u0932\u0947\
|
| 204 |
+
\u0937\u094D\u092E\u093E \u091D\u093F\u0932\u094D\u0932\u0940 \u0915\u093E \u092A\
|
| 205 |
+
\u0924\u093E \u091A\u0932\u0924\u093E \u0939\u0948\u0964 \u0917\u0932\u0947\
|
| 206 |
+
\ \u0915\u0940 \u091C\u093E\u0902\u091A \u0938\u0947 \u092A\u0940\u091B\u0947\
|
| 207 |
+
\ \u0915\u0947 \u0911\u0930\u094B\u092B\u0930\u0940\u0928\u0915\u094D\u0938\
|
| 208 |
+
\ \u092A\u0930 \u090F\u0930\u093F\u0925\u0947\u092E\u093E \u0914\u0930 \u092B\
|
| 209 |
+
\u0949\u0932\u093F\u0915\u094D\u092F\u0941\u0932\u0930 \u0932\u093F\u092E\u094D\
|
| 210 |
+
\u092B\u094B\u0907\u0921 \u0939\u093E\u0907\u092A\u0930\u092A\u094D\u0932\u093E\
|
| 211 |
+
\u0938\u093F\u092F\u093E \u0915\u093E \u092A\u0924\u093E \u091A\u0932\u0924\u093E\
|
| 212 |
+
\ \u0939\u0948\u0964 \u0915\u094B\u0908 \u0938\u094D\u092A\u0937\u094D\u091F\
|
| 213 |
+
\ \u0917\u094D\u0930\u0940\u0935\u093E \u090F\u0921\u0947\u0928\u094B\u092A\u0948\
|
| 214 |
+
\u0925\u0940 \u0928\u0939\u0940\u0902 \u0939\u0948\u0964 \u092B\u0947\u092B\u0921\
|
| 215 |
+
\u093C\u0947 \u0917\u0941\u0926\u093E\u092D\u094D\u0930\u0902\u0936 \u0915\u0947\
|
| 216 |
+
\ \u0932\u093F\u090F \u0938\u094D\u092A\u0937\u094D\u091F \u0939\u0948\u0902\
|
| 217 |
+
\u0964 \u0928\u093F\u092E\u094D\u0928\u0932\u093F\u0916\u093F\u0924 \u092E\u0947\
|
| 218 |
+
\u0902 \u0938\u0947 \u0915\u094C\u0928 \u0938\u093E \u0907\u0938 \u0930\u094B\
|
| 219 |
+
\u0917\u0940 \u0915\u0947 \u0932\u0915\u094D\u0937\u0923\u094B\u0902 \u0915\u093E\
|
| 220 |
+
\ \u0938\u092C\u0938\u0947 \u0938\u0902\u092D\u093E\u0935\u093F\u0924 \u0915\
|
| 221 |
+
\u093E\u0930\u0923 \u0939\u0948?"
|
| 222 |
+
- input_choice_list:
|
| 223 |
+
A: "\u092A\u0942\u0930\u094D\u0935\u0915\u093E\u0932 \u0938\u094D\u0915\u0947\
|
| 224 |
+
\u0932\u0940\u0928"
|
| 225 |
+
B: "\u0932\u093E\u091F\u093F\u0938\u094D\u0938\u093F\u092E\u0941\u0938 \u0921\
|
| 226 |
+
\u094B\u0930\u0938\u0940"
|
| 227 |
+
C: "\u092A\u0947\u0915\u094D\u091F\u094B\u0930\u0932\u093F\u0938 \u092E\u093E\
|
| 228 |
+
\u0907\u0928\u0930"
|
| 229 |
+
D: "\u0915\u094D\u0935\u093E\u0921\u094D\u0930\u0947\u091F\u094D\u0938 \u0932\
|
| 230 |
+
\u0948\u0902\u092C\u094B\u0930\u092E"
|
| 231 |
+
input_correct_responses:
|
| 232 |
+
- C
|
| 233 |
+
input_question: "\u090F\u0915 22 \u0935\u0930\u094D\u0937\u0940\u092F \u092A\u0941\
|
| 234 |
+
\u0930\u0941\u0937 \u092E\u0948\u0930\u093E\u0925\u0928 \u0927\u093E\u0935\u0915\
|
| 235 |
+
\ \u0932\u0902\u092C\u0940 \u0926\u0942\u0930\u0940 \u0924\u0915 \u0926\u094C\
|
| 236 |
+
\u0921\u093C\u0928\u0947 \u092A\u0930 \u0926\u093E\u0939\u093F\u0928\u0940 \u0913\
|
| 237 |
+
\u0930 \u0915\u0940 \u092A\u0938\u0932\u0940 \u092E\u0947\u0902 \u0926\u0930\
|
| 238 |
+
\u094D\u0926 \u0915\u0940 \u0936\u093F\u0915\u093E\u092F\u0924 \u0915\u0947\
|
| 239 |
+
\ \u0938\u093E\u0925 \u0915\u093E\u0930\u094D\u092F\u093E\u0932\u092F \u092E\
|
| 240 |
+
\u0947\u0902 \u0906\u0924\u093E \u0939\u0948\u0964 \u0936\u093E\u0930\u0940\u0930\
|
| 241 |
+
\u093F\u0915 \u092A\u0930\u0940\u0915\u094D\u0937\u0923 \u0938\u0947 \u0939\u0943\
|
| 242 |
+
\u0926\u092F \u0914\u0930 \u092B\u0947\u092B\u0921\u093C\u094B\u0902 \u0915\u0940\
|
| 243 |
+
\ \u0938\u093E\u092E\u093E\u0928\u094D\u092F \u0938\u094D\u0925\u093F\u0924\u093F\
|
| 244 |
+
\ \u0914\u0930 \u0926\u093E\u0939\u093F\u0928\u0940 \u0913\u0930 4-5 \u092A\u0938\
|
| 245 |
+
\u0932\u093F\u092F\u094B\u0902 \u092A\u0930 \u0938\u093E\u0901\u0938 \u091B\u094B\
|
| 246 |
+
\u0921\u093C\u0928\u0947 \u0915\u0940 \u0938\u092E\u0938\u094D\u092F\u093E \u0915\
|
| 247 |
+
\u093E \u092A\u0924\u093E \u091A\u0932\u0924\u093E \u0939\u0948\u0964 \u092A\
|
| 248 |
+
\u094D\u0930\u0924\u094D\u092F\u0915\u094D\u0937 \u0935\u093F\u0927\u093F \u0915\
|
| 249 |
+
\u093E \u0909\u092A\u092F\u094B\u0917 \u0915\u0930\u0915\u0947 \u0907\u0938\
|
| 250 |
+
\ \u0936\u093F\u0925\u093F\u0932\u0924\u093E \u0915\u094B \u0920\u0940\u0915\
|
| 251 |
+
\ \u0915\u0930\u0928\u0947 \u092E\u0947\u0902 \u0928\u093F\u092E\u094D\u0928\
|
| 252 |
+
\u0932\u093F\u0916\u093F\u0924 \u092E\u0947\u0902 \u0938\u0947 \u0915\u094C\u0928\
|
| 253 |
+
\ \u0938\u0940 \u092E\u093E\u0902\u0938\u092A\u0947\u0936\u093F\u092F\u093E\u0901\
|
| 254 |
+
\ \u092F\u093E \u092E\u093E\u0902\u0938\u092A\u0947\u0936\u0940 \u0938\u092E\
|
| 255 |
+
\u0942\u0939 \u0938\u092C\u0938\u0947 \u0905\u0927\u093F\u0915 \u0909\u092A\u092F\
|
| 256 |
+
\u094B\u0917\u0940 \u0939\u094B\u0902\u0917\u0947?"
|
| 257 |
+
include: _continuation_template_yaml
|
| 258 |
+
process_docs: !function utils.process_docs_professional_medicine
|
| 259 |
+
tag: mmlu_hi_llama_other_tasks
|
| 260 |
+
task: mmlu_hi_llama_professional_medicine
|
| 261 |
+
task_alias: professional_medicine
|
lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_hi/mmlu_hi_professional_psychology.yaml
ADDED
|
@@ -0,0 +1,170 @@
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|
|
|
|
|
|
| 1 |
+
fewshot_config:
|
| 2 |
+
sampler: first_n
|
| 3 |
+
samples:
|
| 4 |
+
- input_choice_list:
|
| 5 |
+
A: "\u091C\u093F\u0938 \u0915\u093E\u0930\u094D\u092F\u0915\u094D\u0930\u092E\
|
| 6 |
+
\ \u092E\u0947\u0902 \u0906\u092A \u0928\u093E\u092E\u093E\u0902\u0915\u093F\
|
| 7 |
+
\u0924 \u0939\u0948\u0902 \u0909\u0938\u0947 \u091B\u094B\u0921\u093C\u0915\
|
| 8 |
+
\u0930 \u0905\u092A\u0928\u0947 \u0917\u094D\u0930\u093E\u0939\u0915 \u0915\
|
| 9 |
+
\u094B \u092A\u094D\u0930\u0924\u094D\u092F\u0947\u0915 \u0915\u093E\u0930\
|
| 10 |
+
\u094D\u092F\u0915\u094D\u0930\u092E \u0915\u0947 \u092B\u093E\u092F\u0926\
|
| 11 |
+
\u0947 \u0914\u0930 \u0928\u0941\u0915\u0938\u093E\u0928 \u092C\u0924\u093E\
|
| 12 |
+
\u090F\u0902 \u091C\u093F\u0928\u0915\u0947 \u092C\u093E\u0930\u0947 \u092E\
|
| 13 |
+
\u0947\u0902 \u0906\u092A \u091C\u093E\u0928\u0924\u0947 \u0939\u0948\u0902"
|
| 14 |
+
B: "\u0905\u092A\u0928\u0947 \u0917\u094D\u0930\u093E\u0939\u0915 \u0915\u094B\
|
| 15 |
+
\ \u0909\u0938 \u0915\u093E\u0930\u094D\u092F\u0915\u094D\u0930\u092E \u0915\
|
| 16 |
+
\u0940 \u0905\u0928\u0941\u0936\u0902\u0938\u093E \u0915\u0930\u0947\u0902\
|
| 17 |
+
\ \u091C\u093F\u0938\u092E\u0947\u0902 \u0906\u092A \u0928\u093E\u092E\u093E\
|
| 18 |
+
\u0902\u0915\u093F\u0924 \u0939\u0948\u0902 \u0914\u0930 \u0906\u092A\u0915\
|
| 19 |
+
\u094B \u092A\u094D\u0930\u093E\u092A\u094D\u0924 \u0939\u094B\u0928\u0947\
|
| 20 |
+
\ \u0935\u093E\u0932\u0947 $50 \u092C\u094B\u0928\u0938 \u0915\u0947 \u092C\
|
| 21 |
+
\u093E\u0930\u0947 \u092E\u0947\u0902 \u092C\u0924\u093E\u090F\u0902"
|
| 22 |
+
C: "\u0905\u092A\u0928\u0947 \u0917\u094D\u0930\u093E\u0939\u0915 \u0915\u094B\
|
| 23 |
+
\ \u0909\u0938 \u0915\u093E\u0930\u094D\u092F\u0915\u094D\u0930\u092E \u0915\
|
| 24 |
+
\u0940 \u0905\u0928\u0941\u0936\u0902\u0938\u093E \u0915\u0930\u0947\u0902\
|
| 25 |
+
\ \u091C\u093F\u0938\u092E\u0947\u0902 \u0906\u092A \u0928\u093E\u092E\u093E\
|
| 26 |
+
\u0902\u0915\u093F\u0924 \u0939\u0948\u0902 \u0914\u0930 \u0915\u093E\u0930\
|
| 27 |
+
\u094D\u092F\u0915\u094D\u0930\u092E \u092E\u0947\u0902 \u0906\u092A\u0915\
|
| 28 |
+
\u0947 \u0917\u094D\u0930\u093E\u0939\u0915 \u0915\u0947 \u0916\u093E\u0924\
|
| 29 |
+
\u0947 \u092E\u0947\u0902 $50 \u0915\u093E \u092C\u094B\u0928\u0938 \u091C\
|
| 30 |
+
\u092E\u093E \u0915\u0930\u0928\u0947 \u0915\u0940 \u092A\u0947\u0936\u0915\
|
| 31 |
+
\u0936 \u0915\u0930\u0947\u0902"
|
| 32 |
+
D: "\u0905\u092A\u0928\u0947 \u0917\u094D\u0930\u093E\u0939\u0915 \u0915\u094B\
|
| 33 |
+
\ \u0909\u0938 \u092A\u094D\u0930\u0924\u094D\u092F\u0947\u0915 \u0915\u093E\
|
| 34 |
+
\u0930\u094D\u092F\u0915\u094D\u0930\u092E \u0915\u0947 \u092B\u093E\u092F\
|
| 35 |
+
\u0926\u0947 \u0914\u0930 \u0928\u0941\u0915\u0938\u093E\u0928 \u092C\u0924\
|
| 36 |
+
\u093E\u090F\u0902 \u091C\u093F\u0938\u0915\u0947 \u092C\u093E\u0930\u0947\
|
| 37 |
+
\ \u092E\u0947\u0902 \u0906\u092A \u091C\u093E\u0928\u0924\u0947 \u0939\u0948\
|
| 38 |
+
\u0902, \u0932\u0947\u0915\u093F\u0928 \u092F\u0926\u093F \u0906\u092A\u0915\
|
| 39 |
+
\u093E \u0917\u094D\u0930\u093E\u0939\u0915 \u0906\u092A\u0915\u0947 \u0915\
|
| 40 |
+
\u093E\u0930\u094D\u092F\u0915\u094D\u0930\u092E \u092E\u0947\u0902 \u0928\
|
| 41 |
+
\u093E\u092E\u093E\u0902\u0915\u0928 \u0915\u0930\u0924\u093E \u0939\u0948\
|
| 42 |
+
\ \u0924\u094B $50 \u092C\u094B\u0928\u0938 \u0915\u093E \u0926\u093E\u0935\
|
| 43 |
+
\u093E \u0928 \u0915\u0930\u0947\u0902\u0964"
|
| 44 |
+
input_correct_responses:
|
| 45 |
+
- D
|
| 46 |
+
input_question: "\u0906\u092A\u0915\u093E \u090F\u0915 \u0925\u0947\u0930\u0947\
|
| 47 |
+
\u092A\u0940 \u0917\u094D\u0930\u093E\u0939\u0915 \u090F\u0915 \u0905\u091A\u094D\
|
| 48 |
+
\u091B\u0947 \u0935\u091C\u0928 \u0918\u091F\u093E\u0928\u0947 \u0915\u0947\
|
| 49 |
+
\ \u0915\u093E\u0930\u094D\u092F\u0915\u094D\u0930\u092E \u0915\u0947 \u092C\
|
| 50 |
+
\u093E\u0930\u0947 \u092E\u0947\u0902 \u0906\u092A\u0915\u0940 \u0938\u0932\u093E\
|
| 51 |
+
\u0939 \u092A\u0942\u091B\u0924\u093E \u0939\u0948\u0964 \u0906\u092A\u0928\u0947\
|
| 52 |
+
\ \u0938\u092E\u0941\u0926\u093E\u092F \u092E\u0947\u0902 \u0915\u093E\u0930\
|
| 53 |
+
\u094D\u092F\u0915\u094D\u0930\u092E\u094B\u0902 \u0915\u0940 \u091C\u093E\u0902\
|
| 54 |
+
\u091A \u0915\u0940 \u0939\u0948 \u0914\u0930 \u091C\u093F\u0938\u0947 \u0906\
|
| 55 |
+
\u092A \u0938\u092C\u0938\u0947 \u0905\u091A\u094D\u091B\u093E \u092E\u093E\u0928\
|
| 56 |
+
\u0924\u0947 \u0939\u0948\u0902 \u0909\u0938\u092E\u0947\u0902 \u0928\u093E\u092E\
|
| 57 |
+
\u093E\u0902\u0915\u093F\u0924 \u0939\u0948\u0902\u0964 \u092F\u0939 \u0915\u093E\
|
| 58 |
+
\u0930\u094D\u092F\u0915\u094D\u0930\u092E \u0905\u092A\u0928\u0947 \u0938\u0902\
|
| 59 |
+
\u0930\u0915\u094D\u0937\u0915\u094B\u0902 \u0915\u094B \u0915\u093E\u0930\u094D\
|
| 60 |
+
\u092F\u0915\u094D\u0930\u092E \u092E\u0947\u0902 \u0932\u093E\u090F \u091C\u093E\
|
| 61 |
+
\u0928\u0947 \u0935\u093E\u0932\u0947 \u092A\u094D\u0930\u0924\u094D\u092F\u0947\
|
| 62 |
+
\u0915 \u0928\u090F \u0935\u094D\u092F\u0915\u094D\u0924\u093F \u0915\u0947\
|
| 63 |
+
\ \u0932\u093F\u090F $50 \u0915\u093E \u092C\u094B\u0928\u0938 \u092A\u094D\u0930\
|
| 64 |
+
\u0926\u093E\u0928 \u0915\u0930\u0924\u093E \u0939\u0948\u0964 \u0907\u0928\
|
| 65 |
+
\ \u092A\u0930\u093F\u0938\u094D\u0925\u093F\u0924\u093F\u092F\u094B\u0902 \u092E\
|
| 66 |
+
\u0947\u0902, \u0906\u092A\u0915\u0940 \u0938\u092C\u0938\u0947 \u0909\u092A\
|
| 67 |
+
\u092F\u0941\u0915\u094D\u0924 \u092A\u094D\u0930\u0924\u093F\u0915\u094D\u0930\
|
| 68 |
+
\u093F\u092F\u093E \u0939\u094B\u0917\u0940"
|
| 69 |
+
- input_choice_list:
|
| 70 |
+
A: "\u092E\u093E\u0927\u094D\u092F \u0915\u0940 \u0924\u0941\u0932\u0928\u093E\
|
| 71 |
+
\ \u092E\u0947\u0902 \u091A\u0930\u092E \u0938\u094D\u0915\u094B\u0930 \u0915\
|
| 72 |
+
\u0947 \u092A\u094D\u0930\u0924\u093F \u0915\u092E \u0938\u0902\u0935\u0947\
|
| 73 |
+
\u0926\u0928\u0936\u0940\u0932"
|
| 74 |
+
B: "\u0935\u093F\u0937\u092E \u0935\u093F\u0924\u0930\u0923\u094B\u0902 \u0915\
|
| 75 |
+
\u0947 \u0932\u093F\u090F \u0905\u0927\u093F\u0915 \u0909\u092A\u092F\u094B\
|
| 76 |
+
\u0917\u0940"
|
| 77 |
+
C: "\u0905\u0924\u094D\u092F\u0927\u093F\u0915 \u092E\u0942\u0932\u094D\u092F\
|
| 78 |
+
\u094B\u0902 \u0914\u0930 \u0905\u0924\u094D\u092F\u0927\u093F\u0915 \u0935\
|
| 79 |
+
\u093F\u0937\u092E \u0935\u093F\u0924\u0930\u0923\u094B\u0902 \u0915\u0947\
|
| 80 |
+
\ \u092A\u094D\u0930\u0924\u093F \u0938\u0902\u0935\u0947\u0926\u0928\u0936\
|
| 81 |
+
\u0940\u0932"
|
| 82 |
+
D: "\u0938\u092C\u0938\u0947 \u0905\u0927\u093F\u0915 \u092C\u093E\u0930 \u0906\
|
| 83 |
+
\u0928\u0947 \u0935\u093E\u0932\u0940 \u0938\u0902\u0916\u094D\u092F\u093E"
|
| 84 |
+
input_correct_responses:
|
| 85 |
+
- D
|
| 86 |
+
input_question: "\u0915\u0947\u0902\u0926\u094D\u0930\u0940\u092F \u092A\u094D\
|
| 87 |
+
\u0930\u0935\u0943\u0924\u094D\u0924\u093F \u0915\u094B \u092E\u093E\u092A\u0928\
|
| 88 |
+
\u0947 \u0915\u0947 \u0924\u0940\u0928 \u0924\u0930\u0940\u0915\u0947 \u0939\
|
| 89 |
+
\u0948\u0902: \u092E\u093E\u0927\u094D\u092F, \u092E\u093E\u0927\u094D\u092F\
|
| 90 |
+
\u093F\u0915\u093E \u0914\u0930 \u092C\u0939\u0941\u0932\u0915\u0964 \u0909\u0928\
|
| 91 |
+
\u0915\u0947 \u092C\u093E\u0930\u0947 \u092E\u0947\u0902 \u0906\u092A\u0915\u0940\
|
| 92 |
+
\ \u091C\u093E\u0928\u0915\u093E\u0930\u0940 \u0938\u0947, \u092E\u094B\u0921\
|
| 93 |
+
\ \u0915\u094D\u092F\u093E \u0939\u0948?"
|
| 94 |
+
- input_choice_list:
|
| 95 |
+
A: "\u0935\u094D\u092F\u0915\u094D\u0924\u093F\u0935\u093E\u0926."
|
| 96 |
+
B: "\u0935\u094D\u092F\u0915\u094D\u0924\u093F\u0935\u093E\u0926 \u0914\u0930\
|
| 97 |
+
\ \u0938\u0924\u094D\u0924\u093E \u0915\u0940 \u0926\u0942\u0930\u0940."
|
| 98 |
+
C: "\u0936\u0915\u094D\u0924\u093F \u0926\u0942\u0930\u0940 \u0914\u0930 \u092A\
|
| 99 |
+
\u0941\u0930\u0941\u0937\u0924\u094D\u0935\u0964"
|
| 100 |
+
D: "\u0905\u0928\u093F\u0936\u094D\u091A\u093F\u0924\u0924\u093E \u092A\u0930\
|
| 101 |
+
\u093F\u0939\u093E\u0930\u0964"
|
| 102 |
+
input_correct_responses:
|
| 103 |
+
- A
|
| 104 |
+
input_question: "\u0939\u0949\u092B\u0938\u094D\u091F\u0947\u0921 (1980) \u0915\
|
| 105 |
+
\u0947 \u092A\u093E\u0902\u091A \u0938\u093E\u0902\u0938\u094D\u0915\u0943\u0924\
|
| 106 |
+
\u093F\u0915 \u0906\u092F\u093E\u092E\u094B\u0902 \u0915\u0947 \u0938\u0902\u0926\
|
| 107 |
+
\u0930\u094D\u092D \u092E\u0947\u0902, \u0938\u0902\u092F\u0941\u0915\u094D\u0924\
|
| 108 |
+
\ \u0930\u093E\u091C\u094D\u092F \u0905\u092E\u0947\u0930\u093F\u0915\u093E\
|
| 109 |
+
\ \u092A\u0948\u092E\u093E\u0928\u0947 \u0915\u0947 \u0936\u0940\u0930\u094D\
|
| 110 |
+
\u0937 \u092A\u0930 \u0939\u0948:"
|
| 111 |
+
- input_choice_list:
|
| 112 |
+
A: "\u090F\u0915 \u0915\u0932\u094D\u092A\u0928\u093E \u0939\u0948 \u091C\u094B\
|
| 113 |
+
\ \u0917\u094D\u0930\u093E\u0939\u0915 \u0915\u094B \u0935\u093E\u0938\u094D\
|
| 114 |
+
\u0924\u0935\u093F\u0915\u0924\u093E \u0938\u0947 \u0935\u093F\u091A\u0932\
|
| 115 |
+
\u093F\u0924 \u0915\u0930\u0924\u0940 \u0939\u0948\u0964"
|
| 116 |
+
B: "\u091A\u093F\u0915\u093F\u0924\u094D\u0938\u0915 \u0915\u0947 \u092A\u094D\
|
| 117 |
+
\u0930\u0924\u093F "\u092E\u093F\u0936\u094D\u0930\u093F\u0924 \u092D\
|
| 118 |
+
\u093E\u0935\u0928\u093E\u0913\u0902" \u0915\u093E \u092A\u094D\u0930\
|
| 119 |
+
\u0924\u093F\u0928\u093F\u0927\u093F\u0924\u094D\u0935 \u0915\u0930\u0924\u093E\
|
| 120 |
+
\ \u0939\u0948\u0964"
|
| 121 |
+
C: ""\u0905\u092D\u093F\u0928\u092F" \u0915\u093E \u090F\u0915 \u0930\
|
| 122 |
+
\u0942\u092A \u0939\u0948\u0964"
|
| 123 |
+
D: "\u0917\u094D\u0930\u093E\u0939\u0915 \u0915\u0947 \u0935\u094D\u092F\u0915\
|
| 124 |
+
\u094D\u0924\u093F\u0917\u0924 \u0914\u0930 \u0938\u093E\u092E\u0942\u0939\
|
| 125 |
+
\u093F\u0915 \u0905\u091A\u0947\u0924\u0928 \u0915\u094B \u0926\u0930\u094D\
|
| 126 |
+
\u0936\u093E\u0924\u093E \u0939\u0948\u0964"
|
| 127 |
+
input_correct_responses:
|
| 128 |
+
- D
|
| 129 |
+
input_question: "\u0915\u093E\u0930\u094D\u0932 \u091C\u0902\u0917 \u0915\u093E\
|
| 130 |
+
\ \u092E\u093E\u0928\u0928\u093E \u0925\u093E \u0915\u093F \u0917\u094D\u0930\
|
| 131 |
+
\u093E\u0939\u0915 \u0915\u093E \u0938\u094D\u0925\u093E\u0928\u093E\u0902\u0924\
|
| 132 |
+
\u0930\u0923:"
|
| 133 |
+
- input_choice_list:
|
| 134 |
+
A: "\u090F\u0915-\u0926\u0942\u0938\u0930\u0947 \u0938\u0947 \u0905\u0938\u0902\
|
| 135 |
+
\u092C\u0902\u0927\u093F\u0924 \u0939\u0948\u0902 \u0932\u0947\u0915\u093F\
|
| 136 |
+
\u0928 \u092E\u093E\u0928\u0926\u0902\u0921 \u0915\u0947 \u0938\u093E\u0925\
|
| 137 |
+
\ \u092E\u0927\u094D\u092F\u092E \u0930\u0942\u092A \u0938\u0947 \u0938\u0939\
|
| 138 |
+
\u0938\u0902\u092C\u0926\u094D\u0927 \u0939\u0948\u0902"
|
| 139 |
+
B: "\u090F\u0915 \u0926\u0942\u0938\u0930\u0947 \u0915\u0947 \u0938\u093E\u0925\
|
| 140 |
+
\ \u0915\u092E \u0938\u0939\u0938\u0902\u092C\u0902\u0927 \u0914\u0930 \u092E\
|
| 141 |
+
\u093E\u0928\u0926\u0902\u0921 \u0915\u0947 \u0938\u093E\u0925 \u0915\u092E\
|
| 142 |
+
\ \u0938\u0939\u0938\u0902\u092C\u0902\u0927 \u0939\u0948\u0902"
|
| 143 |
+
C: "\u090F\u0915-\u0926\u0942\u0938\u0930\u0947 \u0915\u0947 \u0938\u093E\u0925\
|
| 144 |
+
\ \u0905\u0924\u094D\u092F\u0927\u093F\u0915 \u0905\u0902\u0924\u0930\u094D\
|
| 145 |
+
\u0938\u0902\u092C\u0902\u0927\u093F\u0924 \u0939\u0948\u0902 \u0914\u0930\
|
| 146 |
+
\ \u092E\u093E\u0928\u0926\u0902\u0921 \u0915\u0947 \u0938\u093E\u0925 \u092E\
|
| 147 |
+
\u0927\u094D\u092F\u092E \u0930\u0942\u092A \u0938\u0947 \u0938\u0939\u0938\
|
| 148 |
+
\u0902\u092C\u0926\u094D\u0927 \u0939\u0948\u0902"
|
| 149 |
+
D: "\u092E\u093E\u0928\u0926\u0902\u0921 \u0915\u0947 \u0938\u093E\u0925 \u0915\
|
| 150 |
+
\u092E \u0938\u0939\u0938\u0902\u092C\u0902\u0927 \u0939\u0948\u0902, \u092C\
|
| 151 |
+
\u094D\u092F\u0942\u0930\u094B \u090F\u0915 \u0926\u0942\u0938\u0930\u0947\
|
| 152 |
+
\ \u0915\u0947 \u0938\u093E\u0925 \u092E\u0927\u094D\u092F\u092E \u0930\u0942\
|
| 153 |
+
\u092A \u0938\u0947 \u0938\u0939\u0938\u0902\u092C\u0926\u094D\u0927 \u0939\
|
| 154 |
+
\u0948\u0902"
|
| 155 |
+
input_correct_responses:
|
| 156 |
+
- A
|
| 157 |
+
input_question: "\u092D\u0935\u093F\u0937\u094D\u092F\u0935\u093E\u0923\u0940\
|
| 158 |
+
\ \u0915\u0947 \u092A\u094D\u0930\u092F\u094B\u091C\u0928\u094B\u0902 \u0915\
|
| 159 |
+
\u0947 \u0932\u093F\u090F \u090F\u0915\u093E\u0927\u093F\u0915 \u092A\u094D\u0930\
|
| 160 |
+
\u0924\u093F\u0917\u092E\u0928 \u0938\u092E\u0940\u0915\u0930\u0923 \u0915\u0947\
|
| 161 |
+
\ \u0928\u093F\u0930\u094D\u092E\u093E\u0923 \u092E\u0947\u0902, \u0909\u092A\
|
| 162 |
+
\u093E\u092F\u094B\u0902 \u0915\u093E \u0907\u0937\u094D\u091F\u0924\u092E \u0938\
|
| 163 |
+
\u0902\u092F\u094B\u091C\u0928 \u0935\u0939 \u0939\u094B\u0924\u093E \u0939\u0948\
|
| 164 |
+
\ \u091C\u093F\u0938\u092E\u0947\u0902 \u092D\u0935\u093F\u0937\u094D\u092F\u0935\
|
| 165 |
+
\u0915\u094D\u0924\u093E \u0939\u094B\u0924\u0947 \u0939\u0948\u0902"
|
| 166 |
+
include: _continuation_template_yaml
|
| 167 |
+
process_docs: !function utils.process_docs_professional_psychology
|
| 168 |
+
tag: mmlu_hi_llama_social_sciences_tasks
|
| 169 |
+
task: mmlu_hi_llama_professional_psychology
|
| 170 |
+
task_alias: professional_psychology
|
lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_hi/mmlu_hi_public_relations.yaml
ADDED
|
@@ -0,0 +1,122 @@
|
|
|
|
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|
|
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|
|
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|
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|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
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|
|
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|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
fewshot_config:
|
| 2 |
+
sampler: first_n
|
| 3 |
+
samples:
|
| 4 |
+
- input_choice_list:
|
| 5 |
+
A: "\u0930\u093F\u092A\u094B\u0930\u094D\u091F\u0930 \u0915\u094B \u0905\u0928\
|
| 6 |
+
\u094D\u092F \u091C\u093E\u0928\u0915\u093E\u0930\u0940 \u0926\u0947\u0902\
|
| 7 |
+
\ \u091C\u093F\u0938\u0938\u0947 \u0909\u0938\u0947 \u092F\u0915\u0940\u0928\
|
| 8 |
+
\ \u0939\u094B \u0915\u093F \u0935\u0939 \u0938\u0939\u0940 \u0939\u0948\u0964"
|
| 9 |
+
B: "\u0915\u0939\u0947\u0902 \u0915\u093F \u091C\u093E\u0928\u0915\u093E\u0930\
|
| 10 |
+
\u0940 '\u0911\u092B\u093C \u0926 \u0930\u093F\u0915\u0949\u0930\u094D\
|
| 11 |
+
\u0921' \u0939\u0948 \u0914\u0930 \u092C\u093E\u0926 \u092E\u0947\u0902\
|
| 12 |
+
\ \u092A\u094D\u0930\u0938\u093E\u0930\u093F\u0924 \u0915\u0940 \u091C\u093E\
|
| 13 |
+
\u090F\u0917\u0940\u0964"
|
| 14 |
+
C: "'\u092E\u0941\u091D\u0947 \u0928\u0939\u0940\u0902 \u092A\u0924\u093E\
|
| 15 |
+
' \u0915\u0939\u0947\u0902 \u0914\u0930 \u092C\u093E\u0926 \u092E\u0947\
|
| 16 |
+
\u0902 \u091C\u093E\u0928\u0915\u093E\u0930\u0940 \u0909\u092A\u0932\u092C\
|
| 17 |
+
\u094D\u0927 \u0915\u0930\u093E\u0928\u0947 \u0915\u093E \u0935\u093E\u0926\
|
| 18 |
+
\u093E \u0915\u0930\u0947\u0902\u0964"
|
| 19 |
+
D: "\u0905\u0928\u092D\u093F\u091C\u094D\u091E \u0926\u093F\u0916\u0928\u0947\
|
| 20 |
+
\ \u0915\u0947 \u092C\u091C\u093E\u092F '\u0915\u094B\u0908 \u091F\u093F\
|
| 21 |
+
\u092A\u094D\u092A\u0923\u0940 \u0928\u0939\u0940\u0902' \u0915\u0939\u0947\
|
| 22 |
+
\u0902\u0964"
|
| 23 |
+
input_correct_responses:
|
| 24 |
+
- C
|
| 25 |
+
input_question: "\u092F\u0926\u093F \u090F\u0915 \u091C\u0928\u0938\u0902\u092A\
|
| 26 |
+
\u0930\u094D\u0915 \u092E\u0940\u0921\u093F\u092F\u093E \u0935\u094D\u092F\u0935\
|
| 27 |
+
\u0938\u093E\u092F\u0940 \u0915\u094B \u0915\u093F\u0938\u0940 \u0930\u093F\u092A\
|
| 28 |
+
\u094B\u0930\u094D\u091F\u0930 \u0915\u0947 \u092A\u094D\u0930\u0936\u094D\u0928\
|
| 29 |
+
\ \u0915\u093E \u0909\u0924\u094D\u0924\u0930 \u0928\u0939\u0940\u0902 \u092A\
|
| 30 |
+
\u0924\u093E \u0939\u0948 \u0924\u094B \u0909\u0938\u0947 \u0915\u094D\u092F\
|
| 31 |
+
\u093E \u0915\u0930\u0928\u093E \u091A\u093E\u0939\u093F\u090F?"
|
| 32 |
+
- input_choice_list:
|
| 33 |
+
A: "\u0910\u0938\u0947 \u0921\u094B\u092E\u0947\u0928 \u0928\u093E\u092E \u0916\
|
| 34 |
+
\u0930\u0940\u0926\u0947\u0902 \u091C\u093F\u0928\u0915\u093E \u0909\u092A\
|
| 35 |
+
\u092F\u094B\u0917 \u0935\u093F\u092A\u0915\u094D\u0937\u0940 \u0938\u092E\
|
| 36 |
+
\u0942\u0939\u094B\u0902 \u0926\u094D\u0935\u093E\u0930\u093E \u0915\u093F\
|
| 37 |
+
\u092F\u093E \u091C\u093E \u0938\u0915\u0947\u0964"
|
| 38 |
+
B: "\u0907\u0938 \u091C\u093E\u0928\u0915\u093E\u0930\u0940 \u0938\u0947 \u0928\
|
| 39 |
+
\u093F\u092A\u091F\u0928\u0947 \u0915\u0947 \u0932\u093F\u090F \u092C\u094D\
|
| 40 |
+
\u0932\u0949\u0917 \u092A\u0930 \u0917\u0941\u092E\u0928\u093E\u092E \u091F\
|
| 41 |
+
\u093F\u092A\u094D\u092A\u0923\u093F\u092F\u093E\u0901 \u092A\u094B\u0938\u094D\
|
| 42 |
+
\u091F \u0915\u0930\u0947\u0902\u0964"
|
| 43 |
+
C: "\u090F\u0915 \u0938\u092E\u093E\u091A\u093E\u0930 \u0935\u093F\u091C\u094D\
|
| 44 |
+
\u091E\u092A\u094D\u0924\u093F \u0924\u0948\u092F\u093E\u0930 \u0915\u0930\
|
| 45 |
+
\u0947\u0902 \u091C\u094B \u0917\u0932\u0924 \u091C\u093E\u0928\u0915\u093E\
|
| 46 |
+
\u0930\u0940 \u0915\u094B \u0916\u093E\u0930\u093F\u091C \u0915\u0930 \u0926\
|
| 47 |
+
\u0947\u0964"
|
| 48 |
+
D: "\u0907\u0928 \u0938\u093E\u0907\u091F\u094B\u0902 \u092A\u0930 \u0909\u091C\
|
| 49 |
+
\u093E\u0917\u0930 \u0915\u0940 \u0917\u0908 \u0936\u093F\u0915\u093E\u092F\
|
| 50 |
+
\u0924\u094B\u0902 \u0915\u0947 \u0938\u092E\u093E\u0927\u093E\u0928 \u0915\
|
| 51 |
+
\u0947 \u0932\u093F\u090F \u0928\u0940\u0924\u093F \u092E\u0947\u0902 \u092C\
|
| 52 |
+
\u0926\u0932\u093E\u0935 \u0915\u0930\u0947\u0902\u0964"
|
| 53 |
+
input_correct_responses:
|
| 54 |
+
- D
|
| 55 |
+
input_question: "\u092E\u0941\u0926\u094D\u0926\u094B\u0902 \u0915\u0947 \u092A\
|
| 56 |
+
\u094D\u0930\u092C\u0902\u0927\u0928 \u092E\u0947\u0902, \u0906\u092A\u0915\u0947\
|
| 57 |
+
\ \u0938\u0902\u0917\u0920\u0928 \u0915\u0947 \u092C\u093E\u0930\u0947 \u092E\
|
| 58 |
+
\u0947\u0902 \u0911\u0928\u0932\u093E\u0907\u0928 \u092A\u094B\u0938\u094D\u091F\
|
| 59 |
+
\ \u0915\u0940 \u0917\u0908 \u0928\u0915\u093E\u0930\u093E\u0924\u094D\u092E\
|
| 60 |
+
\u0915 \u092F\u093E \u092D\u094D\u0930\u093E\u092E\u0915 \u091C\u093E\u0928\u0915\
|
| 61 |
+
\u093E\u0930\u0940 \u0915\u094B \u0938\u0902\u092C\u094B\u0927\u093F\u0924 \u0915\
|
| 62 |
+
\u0930\u0928\u0947 \u0915\u0947 \u0932\u093F\u090F \u0938\u092C\u0938\u0947\
|
| 63 |
+
\ \u0938\u0915\u094D\u0930\u093F\u092F \u0926\u0943\u0937\u094D\u091F\u093F\u0915\
|
| 64 |
+
\u094B\u0923 \u0915\u094D\u092F\u093E \u0939\u0948?"
|
| 65 |
+
- input_choice_list:
|
| 66 |
+
A: "\u090F\u0915 \u0938\u092E\u0928\u094D\u0935\u093F\u0924 \u092E\u0940\u0921\
|
| 67 |
+
\u093F\u092F\u093E \u092A\u094D\u0930\u0924\u093F\u0915\u094D\u0930\u093F\u092F\
|
| 68 |
+
\u093E \u0925\u0940\u0964"
|
| 69 |
+
B: "\u0932\u0917\u093E\u0924\u093E\u0930 \u0938\u0902\u0926\u0947\u0936 \u0938\
|
| 70 |
+
\u0902\u092A\u094D\u0930\u0947\u0937\u093F\u0924 \u0915\u093F\u090F \u0917\
|
| 71 |
+
\u090F\u0964"
|
| 72 |
+
C: "\u0906\u0932\u094B\u091A\u0928\u093E\u0913\u0902 \u0915\u094B \u0915\u0948\
|
| 73 |
+
\u0925\u094B\u0932\u093F\u0915 \u091A\u0930\u094D\u091A \u092A\u0930 \u0939\
|
| 74 |
+
\u092E\u0932\u0947 \u0915\u0947 \u0930\u0942\u092A \u092E\u0947\u0902 \u0932\
|
| 75 |
+
\u093F\u092F\u093E \u0917\u092F\u093E\u0964"
|
| 76 |
+
D: "\u0935\u0947\u091F\u093F\u0915\u0928 \u0915\u0940 \u0935\u093F\u0936\u094D\
|
| 77 |
+
\u0935\u0938\u0928\u0940\u092F\u0924\u093E \u092C\u0930\u0915\u0930\u093E\u0930\
|
| 78 |
+
\ \u0930\u0916\u0940 \u0917\u0908\u0964"
|
| 79 |
+
input_correct_responses:
|
| 80 |
+
- C
|
| 81 |
+
input_question: "2010 \u092E\u0947\u0902 \u092C\u093E\u0932 \u0936\u094B\u0937\
|
| 82 |
+
\u0923 \u0915\u094B \u091B\u0941\u092A\u093E\u0928\u0947 \u0915\u0947 \u0906\
|
| 83 |
+
\u0930\u094B\u092A\u094B\u0902 \u0915\u0947 \u0938\u092E\u092F \u0935\u0947\u091F\
|
| 84 |
+
\u093F\u0915\u0928 \u0915\u0947 \u092C\u093E\u0930\u0947 \u092E\u0947\u0902\
|
| 85 |
+
\ \u0907\u0928\u092E\u0947\u0902 \u0938\u0947 \u0915\u094C\u0928 \u0938\u093E\
|
| 86 |
+
\ \u0915\u0925\u0928 \u0938\u0924\u094D\u092F \u0939\u0948?"
|
| 87 |
+
- input_choice_list:
|
| 88 |
+
A: "\u0915\u093E\u0930\u094D\u092F\u0915\u094D\u0930\u092E \u0915\u094B \u092A\
|
| 89 |
+
\u0930\u093F\u092D\u093E\u0937\u093F\u0924 \u0915\u0930\u0928\u093E"
|
| 90 |
+
B: "\u0915\u093E\u0930\u094D\u092F\u0915\u094D\u0930\u092E \u0915\u0940 \u092F\
|
| 91 |
+
\u094B\u091C\u0928\u093E \u092C\u0928\u093E\u0928\u093E"
|
| 92 |
+
C: "\u0915\u093E\u0930\u094D\u0930\u0935\u093E\u0908 \u0915\u0930\u0928\u093E\
|
| 93 |
+
\ \u0914\u0930 \u0935\u093F\u091A\u093E\u0930\u094B\u0902 \u0915\u094B \u0915\
|
| 94 |
+
\u093E\u0930\u094D\u092F\u093E\u0928\u094D\u0935\u093F\u0924 \u0915\u0930\u0928\
|
| 95 |
+
\u093E"
|
| 96 |
+
D: "\u0915\u093E\u0930\u094D\u092F\u0915\u094D\u0930\u092E \u0915\u093E \u092E\
|
| 97 |
+
\u0942\u0932\u094D\u092F\u093E\u0902\u0915\u0928"
|
| 98 |
+
input_correct_responses:
|
| 99 |
+
- A
|
| 100 |
+
input_question: "\u0928\u093F\u092F\u094B\u091C\u0928 \u092A\u094D\u0930\u0915\
|
| 101 |
+
\u094D\u0930\u093F\u092F\u093E \u0915\u0947 \u0915\u093F\u0938 \u091A\u0930\u0923\
|
| 102 |
+
\ \u092E\u0947\u0902 \u0938\u094D\u0925\u093F\u0924\u093F \u0935\u093F\u0936\
|
| 103 |
+
\u094D\u0932\u0947\u0937\u0923 \u0915\u093F\u092F\u093E \u091C\u093E\u090F\u0917\
|
| 104 |
+
\u093E?"
|
| 105 |
+
- input_choice_list:
|
| 106 |
+
A: "\u0939\u0930\u093F\u0924 \u0936\u093E\u0902\u0924\u093F"
|
| 107 |
+
B: "\u0938\u0902\u092F\u0941\u0915\u094D\u0924 \u0930\u093E\u0937\u094D\u091F\
|
| 108 |
+
\u094D\u0930"
|
| 109 |
+
C: "\u0911\u0915\u094D\u0938\u092B\u0947\u092E"
|
| 110 |
+
D: "\u0935\u093F\u0936\u094D\u0935 \u0935\u0928\u094D\u092F\u091C\u0940\u0935\
|
| 111 |
+
\u0928 \u0915\u094B\u0937"
|
| 112 |
+
input_correct_responses:
|
| 113 |
+
- D
|
| 114 |
+
input_question: "\u0905\u0930\u094D\u0925 \u0906\u0935\u0930 \u0915\u093F\u0938\
|
| 115 |
+
\ \u0938\u0902\u0917\u0920\u0928 \u0926\u094D\u0935\u093E\u0930\u093E \u0936\
|
| 116 |
+
\u0941\u0930\u0942 \u0915\u093F\u092F\u093E \u0917\u092F\u093E \u090F\u0915\
|
| 117 |
+
\ \u0905\u092D\u093F\u092F\u093E\u0928 \u0925\u093E?"
|
| 118 |
+
include: _continuation_template_yaml
|
| 119 |
+
process_docs: !function utils.process_docs_public_relations
|
| 120 |
+
tag: mmlu_hi_llama_social_sciences_tasks
|
| 121 |
+
task: mmlu_hi_llama_public_relations
|
| 122 |
+
task_alias: public_relations
|
lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_hi/mmlu_hi_sociology.yaml
ADDED
|
@@ -0,0 +1,134 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
fewshot_config:
|
| 2 |
+
sampler: first_n
|
| 3 |
+
samples:
|
| 4 |
+
- input_choice_list:
|
| 5 |
+
A: "\u0938\u092D\u0940 \u0915\u0947 \u0932\u093F\u090F \u092E\u0941\u092B\u094D\
|
| 6 |
+
\u0924 \u0938\u094D\u0935\u093E\u0938\u094D\u0925\u094D\u092F \u0926\u0947\
|
| 7 |
+
\u0916\u092D\u093E\u0932 \u0914\u0930 \u0936\u093F\u0915\u094D\u0937\u093E"
|
| 8 |
+
B: "\u090F\u0915 \u0928\u094D\u092F\u0942\u0928\u0924\u092E \u0935\u0947\u0924\
|
| 9 |
+
\u0928"
|
| 10 |
+
C: "\u092A\u0942\u0930\u094D\u0923 \u0930\u094B\u091C\u093C\u0917\u093E\u0930"
|
| 11 |
+
D: "\u0938\u093E\u0930\u094D\u0935\u092D\u094C\u092E\u093F\u0915 \u0915\u0932\
|
| 12 |
+
\u094D\u092F\u093E\u0923"
|
| 13 |
+
input_correct_responses:
|
| 14 |
+
- B
|
| 15 |
+
input_question: "1948 \u0915\u0947 \u092F\u0941\u0926\u094D\u0927\u094B\u092A\u0930\
|
| 16 |
+
\u093E\u0902\u0924 \u0915\u0932\u094D\u092F\u093E\u0923\u0915\u093E\u0930\u0940\
|
| 17 |
+
\ \u0930\u093E\u091C\u094D\u092F \u0915\u093E \u0928\u093F\u092E\u094D\u0928\
|
| 18 |
+
\u0932\u093F\u0916\u093F\u0924 \u092E\u0947\u0902 \u0938\u0947 \u0915\u094D\u092F\
|
| 19 |
+
\u093E \u092A\u094D\u0930\u0926\u093E\u0928 \u0915\u0930\u0928\u0947 \u0915\u093E\
|
| 20 |
+
\ \u0932\u0915\u094D\u0937\u094D\u092F \u0928\u0939\u0940\u0902 \u0925\u093E\
|
| 21 |
+
:"
|
| 22 |
+
- input_choice_list:
|
| 23 |
+
A: "\u090F\u0915 \u092E\u0947\u0932\u0947 \u0915\u0947 \u092E\u0948\u0926\u093E\
|
| 24 |
+
\u0928 \u0915\u0940 \u0938\u0935\u093E\u0930\u0940"
|
| 25 |
+
B: "\u090F\u0915 \u0938\u0930\u094D\u0915\u0938"
|
| 26 |
+
C: "\u090F\u0915 \u0915\u0920\u092A\u0941\u0924\u0932\u0940 \u0925\u093F\u092F\
|
| 27 |
+
\u0947\u091F\u0930"
|
| 28 |
+
D: "\u090F\u0915 \u092C\u0948\u0932\u0947"
|
| 29 |
+
input_correct_responses:
|
| 30 |
+
- C
|
| 31 |
+
input_question: "\u092C\u0930\u094D\u091C\u0930 (1963) \u0938\u093E\u092E\u093E\
|
| 32 |
+
\u091C\u093F\u0915 \u0935\u093E\u0938\u094D\u0924\u0935\u093F\u0915\u0924\u093E\
|
| 33 |
+
\ \u0915\u0947 \u0930\u0942\u092A\u0915 \u0915\u0947 \u0930\u0942\u092A \u092E\
|
| 34 |
+
\u0947\u0902 \u0915\u094D\u092F\u093E \u0935\u0930\u094D\u0923\u0928 \u0915\u0930\
|
| 35 |
+
\u0924\u0947 \u0939\u0948\u0902?"
|
| 36 |
+
- input_choice_list:
|
| 37 |
+
A: "\u0930\u093E\u091C\u094D\u092F \u0915\u0940 \u092C\u0922\u093C\u0924\u0940\
|
| 38 |
+
\ \u0928\u094C\u0915\u0930\u0936\u093E\u0939\u0940 \u0928\u0947 \u0927\u0930\
|
| 39 |
+
\u094D\u092E \u0915\u094B \u0939\u092E\u093E\u0930\u0947 \u091C\u0940\u0935\
|
| 40 |
+
\u0928 \u0915\u093E \u0915\u0947\u0935\u0932 \u0939\u093E\u0936\u093F\u092F\
|
| 41 |
+
\u0947 \u0915\u093E \u0939\u093F\u0938\u094D\u0938\u093E \u092C\u0928\u093E\
|
| 42 |
+
\ \u0926\u093F\u092F\u093E \u0939\u0948"
|
| 43 |
+
B: "\u092A\u093E\u0930\u0902\u092A\u0930\u093F\u0915 \u092A\u094D\u0930\u093E\
|
| 44 |
+
\u0927\u093F\u0915\u093E\u0930 \u0915\u0947 \u0915\u092E\u091C\u094B\u0930\
|
| 45 |
+
\ \u0939\u094B\u0928\u0947 \u0915\u0947 \u092C\u093E\u0935\u091C\u0942\u0926\
|
| 46 |
+
, \u0939\u092E\u093E\u0930\u093E \u0930\u094B\u091C\u092E\u0930\u094D\u0930\
|
| 47 |
+
\u093E \u0915\u093E \u091C\u0940\u0935\u0928 \u0914\u0930 '\u0938\u093E\
|
| 48 |
+
\u092E\u093E\u0928\u094D\u092F \u091C\u094D\u091E\u093E\u0928' \u0927\u093E\
|
| 49 |
+
\u0930\u094D\u092E\u093F\u0915 \u0935\u093F\u0936\u094D\u0935\u093E\u0938\u094B\
|
| 50 |
+
\u0902 \u0914\u0930 \u092E\u0942\u0932\u094D\u092F\u094B\u0902 \u0938\u0947\
|
| 51 |
+
\ \u0906\u0915\u093E\u0930 \u0932\u0947\u0924\u093E \u0939\u0948"
|
| 52 |
+
C: "\u0938\u093E\u092E\u0942\u0939\u093F\u0915 \u092A\u0942\u091C\u093E \u092E\
|
| 53 |
+
\u0947\u0902 \u0927\u093E\u0930\u094D\u092E\u093F\u0915 \u092D\u093E\u0917\
|
| 54 |
+
\u0940\u0926\u093E\u0930\u0940 \u092E\u0947\u0902 \u092D\u0932\u0947 \u0939\
|
| 55 |
+
\u0940 \u0917\u093F\u0930\u093E\u0935\u091F \u0906\u0908 \u0939\u094B, \u0932\
|
| 56 |
+
\u0947\u0915\u093F\u0928 \u0932\u094B\u0917 \u0905\u092D\u0940 \u092D\u0940\
|
| 57 |
+
\ \u0928\u093F\u091C\u0940 \u0924\u094C\u0930 \u092A\u0930 \u0905\u092A\u0928\
|
| 58 |
+
\u0947 \u0927\u0930\u094D\u092E \u0915\u093E \u092A\u093E\u0932\u0928 \u0915\
|
| 59 |
+
\u0930\u0924\u0947 \u0939\u0948\u0902"
|
| 60 |
+
D: "\u0932\u094B\u0917 \u0938\u093E\u0930\u094D\u0935\u091C\u0928\u093F\u0915\
|
| 61 |
+
, \u0905\u0928\u094C\u092A\u091A\u093E\u0930\u093F\u0915 \u0938\u0947\u091F\
|
| 62 |
+
\u093F\u0902\u0917 \u092E\u0947\u0902 \u0905\u092A\u0928\u0947 \u0927\u093E\
|
| 63 |
+
\u0930\u094D\u092E\u093F\u0915 \u0935\u093F\u0936\u094D\u0935\u093E\u0938\u094B\
|
| 64 |
+
\u0902 \u092A\u0930 \u091A\u0930\u094D\u091A\u093E \u0915\u0930\u0928\u0947\
|
| 65 |
+
\ \u0915\u0940 \u0905\u0927\u093F\u0915 \u0938\u0902\u092D\u093E\u0935\u0928\
|
| 66 |
+
\u093E \u0930\u0916\u0924\u0947 \u0939\u0948\u0902"
|
| 67 |
+
input_correct_responses:
|
| 68 |
+
- B
|
| 69 |
+
input_question: "'\u0928\u093E\u0917\u0930\u093F\u0915 \u0927\u0930\u094D\u092E\
|
| 70 |
+
' \u0938\u0947 '\u0938\u093E\u092E\u093E\u0928\u094D\u092F \u0927\u0930\
|
| 71 |
+
\u094D\u092E' \u092E\u0947\u0902 \u092C\u0926\u0932\u093E\u0935 \u0915\u093E\
|
| 72 |
+
\ \u0905\u0930\u094D\u0925 \u0939\u0948:"
|
| 73 |
+
- input_choice_list:
|
| 74 |
+
A: "\u0936\u094D\u0930\u092E\u093F\u0915 \u0935\u0930\u094D\u0917 \u0915\u0940\
|
| 75 |
+
\ \u0905\u092A\u0928\u0947 \u0939\u093F\u0924\u094B\u0902 \u0915\u094B \u0928\
|
| 76 |
+
\ \u0938\u092E\u091D\u0928\u0947 \u0915\u0940 \u092A\u094D\u0930\u0935\u0943\
|
| 77 |
+
\u0924\u094D\u0924\u093F"
|
| 78 |
+
B: "\u090F\u0915 \u092A\u094D\u0930\u092E\u0941\u0916 \u0935\u093F\u091A\u093E\
|
| 79 |
+
\u0930\u0927\u093E\u0930\u093E \u091C\u094B \u0906\u0930\u094D\u0925\u093F\
|
| 80 |
+
\u0915, \u0930\u093E\u091C\u0928\u0940\u0924\u093F\u0915 \u0914\u0930 \u0938\
|
| 81 |
+
\u093E\u0902\u0938\u094D\u0915\u0943\u0924\u093F\u0915 \u0936\u0915\u094D\u0924\
|
| 82 |
+
\u093F \u0915\u094B \u0935\u0948\u0927 \u092C\u0928\u093E\u0924\u0940 \u0939\
|
| 83 |
+
\u0948"
|
| 84 |
+
C: "\u0935\u093F\u091A\u093E\u0930\u0927\u093E\u0930\u093E \u0914\u0930 \u0930\
|
| 85 |
+
\u094B\u091C\u092E\u0930\u094D\u0930\u093E \u0915\u0947 \u0905\u0928\u0941\
|
| 86 |
+
\u092D\u0935\u094B\u0902 \u092A\u0930 \u0906\u0927\u093E\u0930\u093F\u0924\
|
| 87 |
+
\ \u0926\u094B\u0939\u0930\u0940 \u091A\u0947\u0924\u0928\u093E \u0915\u093E\
|
| 88 |
+
\ \u090F\u0915 \u0930\u0942\u092A"
|
| 89 |
+
D: "\u092C\u0915\u093E\u092F\u093E \u091F\u0949\u092A\u0930\u0940 \u0915\u0947\
|
| 90 |
+
\ \u0932\u093F\u090F \u092D\u0941\u0917\u0924\u093E\u0928 \u0915\u093E \u090F\
|
| 91 |
+
\u0915 \u0924\u0930\u0940\u0915\u093E \u0926\u093F\u092F\u093E \u0917\u092F\
|
| 92 |
+
\u093E"
|
| 93 |
+
input_correct_responses:
|
| 94 |
+
- B
|
| 95 |
+
input_question: "'\u0906\u0927\u093F\u092A\u0924\u094D\u092F' \u0936\u092C\
|
| 96 |
+
\u094D\u0926 \u0915\u093E \u0924\u093E\u0924\u094D\u092A\u0930\u094D\u092F \u0939\
|
| 97 |
+
\u0948:"
|
| 98 |
+
- input_choice_list:
|
| 99 |
+
A: "\u0905\u0927\u093F\u0915\u093E\u0902\u0936 \u0939\u0921\u093C\u0924\u093E\
|
| 100 |
+
\u0932\u094B\u0902 \u092A\u0930 \u0928\u093F\u092F\u094B\u0915\u094D\u0924\
|
| 101 |
+
\u093E\u0913\u0902 \u0914\u0930 \u091C\u0928\u0938\u0902\u091A\u093E\u0930\
|
| 102 |
+
\ \u092E\u093E\u0927\u094D\u092F\u092E\u094B\u0902 \u0915\u093E \u0927\u094D\
|
| 103 |
+
\u092F\u093E\u0928 \u0928\u0939\u0940\u0902 \u091C\u093E\u0924\u093E"
|
| 104 |
+
B: "\u0938\u092D\u0940 \u0914\u0926\u094D\u092F\u094B\u0917\u093F\u0915 \u0935\
|
| 105 |
+
\u093F\u0935\u093E\u0926\u094B\u0902 \u0915\u0940 \u0930\u093F\u092A\u094B\
|
| 106 |
+
\u0930\u094D\u091F \u0928\u093F\u092F\u094B\u0915\u094D\u0924\u093E \u0926\
|
| 107 |
+
\u094D\u0935\u093E\u0930\u093E \u0928\u0939\u0940\u0902 \u0915\u0940 \u091C\
|
| 108 |
+
\u093E\u090F\u0917\u0940"
|
| 109 |
+
C: "\u0939\u0921\u093C\u0924\u093E\u0932 \u0915\u0940 \u092A\u0930\u093F\u092D\
|
| 110 |
+
\u093E\u0937\u093E \u092E\u0947\u0902 \u0935\u0947 \u0939\u0921\u093C\u0924\
|
| 111 |
+
\u093E\u0932\u0947\u0902 \u0936\u093E\u092E\u093F\u0932 \u0928\u0939\u0940\
|
| 112 |
+
\u0902 \u0939\u0948\u0902 \u091C\u093F\u0928\u092E\u0947\u0902 \u0926\u0938\
|
| 113 |
+
\ \u0938\u0947 \u0915\u092E \u0915\u0930\u094D\u092E\u091A\u093E\u0930\u0940\
|
| 114 |
+
\ \u0936\u093E\u092E\u093F\u0932 \u0939\u094B\u0902 \u092F\u093E \u090F\u0915\
|
| 115 |
+
\ \u0926\u093F\u0928 \u0938\u0947 \u0915\u092E \u0938\u092E\u092F \u0924\u0915\
|
| 116 |
+
\ \u091A\u0932\u0947"
|
| 117 |
+
D: "\u0909\u0928 \u0939\u092E\u0932\u094B\u0902 \u0915\u0940 \u0924\u0941\u0932\
|
| 118 |
+
\u0928\u093E \u0915\u0930\u0928\u093E \u0915\u0920\u093F\u0928 \u0939\u0948\
|
| 119 |
+
\ \u091C\u093F\u0928\u094D\u0939\u0947\u0902 \u0905\u0932\u0917-\u0905\u0932\
|
| 120 |
+
\u0917 \u0924\u0930\u0940\u0915\u094B\u0902 \u0938\u0947 \u092E\u093E\u092A\
|
| 121 |
+
\u093E \u0917\u092F\u093E \u0925\u093E"
|
| 122 |
+
input_correct_responses:
|
| 123 |
+
- A
|
| 124 |
+
input_question: "\u0928\u093F\u092E\u094D\u0928\u0932\u093F\u0916\u093F\u0924\
|
| 125 |
+
\ \u092E\u0947\u0902 \u0938\u0947 \u0915\u094C\u0928 \u0938\u0940 \u0939\u0921\
|
| 126 |
+
\u093C\u0924\u093E\u0932 \u0915\u093E\u0930\u094D\u0930\u0935\u093E\u0908 \u092A\
|
| 127 |
+
\u0930 \u0906\u0927\u093F\u0915\u093E\u0930\u093F\u0915 \u0906\u0902\u0915\u0921\
|
| 128 |
+
\u093C\u094B\u0902 \u0938\u0947 \u091C\u0941\u0921\u093C\u0940 \u0938\u092E\u0938\
|
| 129 |
+
\u094D\u092F\u093E \u0928\u0939\u0940\u0902 \u0939\u0948?"
|
| 130 |
+
include: _continuation_template_yaml
|
| 131 |
+
process_docs: !function utils.process_docs_sociology
|
| 132 |
+
tag: mmlu_hi_llama_social_sciences_tasks
|
| 133 |
+
task: mmlu_hi_llama_sociology
|
| 134 |
+
task_alias: sociology
|
lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_hi/mmlu_hi_us_foreign_policy.yaml
ADDED
|
@@ -0,0 +1,138 @@
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
|
|
|
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|
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|
|
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|
|
|
|
|
|
|
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|
|
|
|
|
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|
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|
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|
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|
|
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|
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|
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|
|
|
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|
|
|
|
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|
|
|
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|
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|
|
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|
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|
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|
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|
|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
fewshot_config:
|
| 2 |
+
sampler: first_n
|
| 3 |
+
samples:
|
| 4 |
+
- input_choice_list:
|
| 5 |
+
A: "\u0907\u0938\u0928\u0947 \u0930\u093E\u091C\u0928\u0940\u0924\u093F\u0915\
|
| 6 |
+
\ \u0905\u0930\u094D\u0925\u0935\u094D\u092F\u0935\u0938\u094D\u0925\u093E\
|
| 7 |
+
\ \u0914\u0930 \u092A\u0942\u0902\u091C\u0940\u0935\u093E\u0926 \u0915\u0947\
|
| 8 |
+
\ \u0905\u092E\u0947\u0930\u093F\u0915\u0940 \u092E\u0949\u0921\u0932 \u0915\
|
| 9 |
+
\u0947 \u0938\u092E\u0930\u094D\u0925\u0928 \u0915\u094B \u0928\u0941\u0915\
|
| 10 |
+
\u0938\u093E\u0928 \u092A\u0939\u0941\u0902\u091A\u093E\u092F\u093E"
|
| 11 |
+
B: "\u0907\u0938\u0928\u0947 \u0938\u0902\u0915\u091F \u0915\u094B \u092C\u0922\
|
| 12 |
+
\u093C\u093E-\u091A\u0922\u093C\u093E\u0915\u0930 \u092A\u0947\u0936 \u0915\
|
| 13 |
+
\u0930\u0928\u0947 \u0915\u0947 \u0932\u093F\u090F \u0938\u0902\u092F\u0941\
|
| 14 |
+
\u0915\u094D\u0924 \u0930\u093E\u091C\u094D\u092F \u0905\u092E\u0947\u0930\
|
| 15 |
+
\u093F\u0915\u093E \u092A\u0930 \u0917\u0941\u0938\u094D\u0938\u093E \u092A\
|
| 16 |
+
\u0948\u0926\u093E \u0915\u093F\u092F\u093E"
|
| 17 |
+
C: "\u0907\u0938\u0938\u0947 \u0930\u093E\u0937\u094D\u091F\u094D\u0930\u092A\
|
| 18 |
+
\u0924\u093F \u0913\u092C\u093E\u092E\u093E \u0915\u0947 \u0928\u0947\u0924\
|
| 19 |
+
\u0943\u0924\u094D\u0935 \u092E\u0947\u0902 \u0905\u092E\u0947\u0930\u093F\
|
| 20 |
+
\u0915\u0940 \u0935\u0948\u0936\u094D\u0935\u093F\u0915 \u0928\u0947\u0924\
|
| 21 |
+
\u0943\u0924\u094D\u0935 \u0915\u0947 \u0932\u093F\u090F \u0938\u092E\u0930\
|
| 22 |
+
\u094D\u0925\u0928 \u092C\u0922\u093C\u093E"
|
| 23 |
+
D: "\u0907\u0938\u0938\u0947 \u0905\u092E\u0947\u0930\u093F\u0915\u0940 \u0921\
|
| 24 |
+
\u0949\u0932\u0930 \u0915\u093E \u0935\u0948\u0936\u094D\u0935\u093F\u0915\
|
| 25 |
+
\ \u0909\u092A\u092F\u094B\u0917 \u0915\u092E \u0939\u094B \u0917\u092F\u093E"
|
| 26 |
+
input_correct_responses:
|
| 27 |
+
- A
|
| 28 |
+
input_question: "2008 \u0915\u0947 \u0935\u093F\u0924\u094D\u0924\u0940\u092F\
|
| 29 |
+
\ \u0938\u0902\u0915\u091F \u0928\u0947 \u0905\u092E\u0947\u0930\u093F\u0915\
|
| 30 |
+
\u093E \u0915\u0940 \u0905\u0902\u0924\u0930\u094D\u0930\u093E\u0937\u094D\u091F\
|
| 31 |
+
\u094D\u0930\u0940\u092F \u092A\u094D\u0930\u0924\u093F\u0937\u094D\u0920\u093E\
|
| 32 |
+
\ \u0915\u094B \u0915\u0948\u0938\u0947 \u092A\u094D\u0930\u092D\u093E\u0935\
|
| 33 |
+
\u093F\u0924 \u0915\u093F\u092F\u093E?"
|
| 34 |
+
- input_choice_list:
|
| 35 |
+
A: "\u0907\u0938\u0928\u0947 \u0930\u094B\u0915\u0925\u093E\u092E \u0915\u093E\
|
| 36 |
+
\ \u0935\u0948\u0936\u094D\u0935\u0940\u0915\u0930\u0923 \u0915\u093F\u092F\
|
| 37 |
+
\u093E\u0964"
|
| 38 |
+
B: "\u0907\u0938\u0928\u0947 \u0928\u093F\u092F\u0902\u0924\u094D\u0930\u0923\
|
| 39 |
+
\ \u0915\u093E \u0938\u0948\u0928\u094D\u092F\u0940\u0915\u0930\u0923 \u0915\
|
| 40 |
+
\u093F\u092F\u093E\u0964"
|
| 41 |
+
C: "\u0907\u0938\u092E\u0947\u0902 \u0939\u093E\u0907\u0921\u094D\u0930\u094B\
|
| 42 |
+
\u091C\u0928 \u092C\u092E \u0915\u0947 \u0935\u093F\u0915\u093E\u0938 \u0915\
|
| 43 |
+
\u093E \u0906\u0939\u094D\u0935\u093E\u0928 \u0915\u093F\u092F\u093E \u0917\
|
| 44 |
+
\u092F\u093E\u0964"
|
| 45 |
+
D: "\u090A\u092A\u0930 \u0915\u0947 \u0938\u092D\u0940"
|
| 46 |
+
input_correct_responses:
|
| 47 |
+
- D
|
| 48 |
+
input_question: "\u090F\u0928\u090F\u0938\u0938\u0940-68 \u0928\u0947 \u0905\u092E\
|
| 49 |
+
\u0947\u0930\u093F\u0915\u0940 \u0930\u0923\u0928\u0940\u0924\u093F \u0915\u094B\
|
| 50 |
+
\ \u0915\u0948\u0938\u0947 \u092C\u0926\u0932\u093E?"
|
| 51 |
+
- input_choice_list:
|
| 52 |
+
A: "\u0906\u0924\u0902\u0915\u0935\u093E\u0926 \u0928\u0940\u0924\u093F."
|
| 53 |
+
B: "\u0906\u0930\u094D\u0925\u093F\u0915 \u0928\u0940\u0924\u093F\u0964"
|
| 54 |
+
C: "\u0935\u093F\u0926\u0947\u0936 \u0928\u0940\u0924\u093F\u0964"
|
| 55 |
+
D: "\u0905\u0902\u0924\u0930\u094D\u0930\u093E\u0937\u094D\u091F\u094D\u0930\
|
| 56 |
+
\u0940\u092F \u0928\u0940\u0924\u093F."
|
| 57 |
+
input_correct_responses:
|
| 58 |
+
- C
|
| 59 |
+
input_question: "\u092E\u0941\u0916\u094D\u092F \u0930\u0942\u092A \u0938\u0947\
|
| 60 |
+
\ \u0938\u0902\u092F\u0941\u0915\u094D\u0924 \u0930\u093E\u091C\u094D\u092F\
|
| 61 |
+
\ \u0905\u092E\u0947\u0930\u093F\u0915\u093E \u0914\u0930 \u0936\u0947\u0937\
|
| 62 |
+
\ \u0935\u093F\u0936\u094D\u0935 \u0915\u0947 \u092C\u0940\u091A \u0938\u0902\
|
| 63 |
+
\u092C\u0902\u0927\u094B\u0902 \u0938\u0947 \u0938\u0902\u092C\u0902\u0927\u093F\
|
| 64 |
+
\u0924 \u0928\u0940\u0924\u093F\u0917\u0924 \u0928\u093F\u0930\u094D\u0923\u092F\
|
| 65 |
+
\u094B\u0902 \u0915\u0947 \u0915\u094D\u0937\u0947\u0924\u094D\u0930 \u0915\u094B\
|
| 66 |
+
\ \u0915\u0939\u093E \u091C\u093E\u0924\u093E \u0939\u0948"
|
| 67 |
+
- input_choice_list:
|
| 68 |
+
A: "\u0930\u0915\u094D\u0937\u093E\u0924\u094D\u092E\u0915 \u092F\u0925\u093E\
|
| 69 |
+
\u0930\u094D\u0925\u0935\u093E\u0926\u0940 \u0905\u0902\u0924\u0930\u094D\u0930\
|
| 70 |
+
\u093E\u0937\u094D\u091F\u094D\u0930\u0940\u092F \u0938\u0902\u0938\u094D\u0925\
|
| 71 |
+
\u093E\u0928\u094B\u0902 \u0915\u0940 \u092D\u0942\u092E\u093F\u0915\u093E\
|
| 72 |
+
\ \u092A\u0930 \u0905\u0927\u093F\u0915 \u091C\u094B\u0930 \u0926\u0947\u0924\
|
| 73 |
+
\u0947 \u0939\u0948\u0902"
|
| 74 |
+
B: "\u0930\u0915\u094D\u0937\u093E\u0924\u094D\u092E\u0915 \u092F\u0925\u093E\
|
| 75 |
+
\u0930\u094D\u0925\u0935\u093E\u0926\u0940 \u092D\u094C\u0917\u094B\u0932\u093F\
|
| 76 |
+
\u0915 \u0915\u093E\u0930\u0915\u094B\u0902 \u092A\u0930 \u0915\u092E \u091C\
|
| 77 |
+
\u094B\u0930 \u0926\u0947\u0924\u0947 \u0939\u0948\u0902"
|
| 78 |
+
C: "\u0906\u0915\u094D\u0930\u093E\u092E\u0915 \u092F\u0925\u093E\u0930\u094D\
|
| 79 |
+
\u0925\u0935\u093E\u0926\u0940 \u0930\u0915\u094D\u0937\u093E\u0924\u094D\u092E\
|
| 80 |
+
\u0915 \u092F\u0925\u093E\u0930\u094D\u0925\u0935\u093E\u0926\u093F\u092F\u094B\
|
| 81 |
+
\u0902 \u0915\u0940 \u0924\u0941\u0932\u0928\u093E \u092E\u0947\u0902 \u0930\
|
| 82 |
+
\u093E\u0937\u094D\u091F\u094D\u0930\u0940\u092F \u0939\u093F\u0924 \u0915\
|
| 83 |
+
\u094B \u0905\u0927\u093F\u0915 \u092A\u094D\u0930\u093E\u0925\u092E\u093F\
|
| 84 |
+
\u0915\u0924\u093E \u0926\u0947\u0924\u0947 \u0939\u0948\u0902\u0964"
|
| 85 |
+
D: "\u0930\u0915\u094D\u0937\u093E\u0924\u094D\u092E\u0915 \u092F\u0925\u093E\
|
| 86 |
+
\u0930\u094D\u0925\u0935\u093E\u0926\u0940 \u092E\u093E\u0928\u0924\u0947\
|
| 87 |
+
\ \u0939\u0948\u0902 \u0915\u093F \u0930\u093E\u091C\u094D\u092F \u0938\u0941\
|
| 88 |
+
\u0930\u0915\u094D\u0937\u093E \u0915\u094B \u0905\u0927\u093F\u0915\u0924\
|
| 89 |
+
\u092E \u0915\u0930\u0928\u0947 \u0935\u093E\u0932\u0947 \u0939\u0948\u0902\
|
| 90 |
+
, \u091C\u092C\u0915\u093F \u0906\u0915\u094D\u0930\u093E\u092E\u0915 \u092F\
|
| 91 |
+
\u0925\u093E\u0930\u094D\u0925\u0935\u093E\u0926\u0940 \u092E\u093E\u0928\u0924\
|
| 92 |
+
\u0947 \u0939\u0948\u0902 \u0915\u093F \u0930\u093E\u091C\u094D\u092F \u0936\
|
| 93 |
+
\u0915\u094D\u0924\u093F \u0915\u094B \u0905\u0927\u093F\u0915\u0924\u092E\
|
| 94 |
+
\ \u0915\u0930\u0928\u0947 \u0935\u093E\u0932\u0947 \u0939\u0948\u0902"
|
| 95 |
+
input_correct_responses:
|
| 96 |
+
- D
|
| 97 |
+
input_question: "\u0930\u093E\u091C\u094D\u092F \u0915\u0947 \u0935\u094D\u092F\
|
| 98 |
+
\u0935\u0939\u093E\u0930 \u0915\u0940 \u0935\u094D\u092F\u093E\u0916\u094D\u092F\
|
| 99 |
+
\u093E \u092E\u0947\u0902 \u0930\u0915\u094D\u0937\u093E\u0924\u094D\u092E\u0915\
|
| 100 |
+
\ \u092F\u0925\u093E\u0930\u094D\u0925\u0935\u093E\u0926 \u0914\u0930 \u0906\
|
| 101 |
+
\u0915\u094D\u0930\u093E\u092E\u0915 \u092F\u0925\u093E\u0930\u094D\u0925\u0935\
|
| 102 |
+
\u093E\u0926 \u0915\u093F\u0938 \u092A\u094D\u0930\u0915\u093E\u0930 \u092D\u093F\
|
| 103 |
+
\u0928\u094D\u0928 \u0939\u0948\u0902?"
|
| 104 |
+
- input_choice_list:
|
| 105 |
+
A: "\u0935\u0948\u0936\u094D\u0935\u0940\u0915\u0930\u0923 \u0928\u0947 \u0909\
|
| 106 |
+
\u0928\u0915\u0947 \u091C\u0948\u0938\u0947 \u0932\u094B\u0917\u094B\u0902\
|
| 107 |
+
\ \u0915\u094B \u092C\u0939\u0941\u0924 \u0905\u092E\u0940\u0930 \u092C\u0928\
|
| 108 |
+
\u093E \u0926\u093F\u092F\u093E \u0925\u093E"
|
| 109 |
+
B: "\u0935\u0948\u0936\u094D\u0935\u0940\u0915\u0930\u0923 \u0938\u0947 \u0915\
|
| 110 |
+
\u0947\u0935\u0932 \u0915\u0941\u091B \u0905\u092E\u0947\u0930\u093F\u0915\
|
| 111 |
+
\u0940 \u0930\u093E\u091C\u094D\u092F\u094B\u0902, \u091C\u0948\u0938\u0947\
|
| 112 |
+
\ \u0928\u094D\u092F\u0942\u092F\u0949\u0930\u094D\u0915, \u0915\u094B \u0932\
|
| 113 |
+
\u093E\u092D \u0939\u0941\u0906"
|
| 114 |
+
C: "\u0909\u0926\u093E\u0930\u0935\u093E\u0926\u0940 \u0905\u092D\u093F\u091C\
|
| 115 |
+
\u093E\u0924 \u0935\u0930\u094D\u0917 \u0928\u0947 \u0935\u0948\u0936\u094D\
|
| 116 |
+
\u0935\u0940\u0915\u0930\u0923 \u0915\u094B \u092A\u094D\u0930\u094B\u0924\
|
| 117 |
+
\u094D\u0938\u093E\u0939\u093F\u0924 \u0915\u093F\u092F\u093E \u0925\u093E\
|
| 118 |
+
, \u091C\u092C\u0915\u093F '\u0938\u093E\u092E\u093E\u0928\u094D\u092F\
|
| 119 |
+
\ \u0905\u092E\u0947\u0930\u093F\u0915\u093F\u092F\u094B\u0902' \u0928\
|
| 120 |
+
\u0947 \u0907\u0938\u0915\u0947 \u0915\u093E\u0930\u0923 \u0905\u092A\u0928\
|
| 121 |
+
\u0940 \u0928\u094C\u0915\u0930\u093F\u092F\u093E\u0901 \u0916\u094B \u0926\
|
| 122 |
+
\u0940\u0902"
|
| 123 |
+
D: "\u0935\u0948\u0936\u094D\u0935\u0940\u0915\u0930\u0923 \u0928\u0947 \u0939\
|
| 124 |
+
\u093E\u0928\u093F\u0915\u093E\u0930\u0915 \u0935\u094D\u092F\u093E\u092A\u093E\
|
| 125 |
+
\u0930 \u092F\u0941\u0926\u094D\u0927\u094B\u0902 \u0915\u094B \u092A\u094D\
|
| 126 |
+
\u0930\u094B\u0924\u094D\u0938\u093E\u0939\u093F\u0924 \u0915\u093F\u092F\u093E"
|
| 127 |
+
input_correct_responses:
|
| 128 |
+
- C
|
| 129 |
+
input_question: "2016 \u0915\u0947 \u0905\u092D\u093F\u092F\u093E\u0928 \u092E\
|
| 130 |
+
\u0947\u0902 \u0921\u094B\u0928\u093E\u0932\u094D\u0921 \u091F\u094D\u0930\u092E\
|
| 131 |
+
\u094D\u092A \u0928\u0947 \u0935\u0948\u0936\u094D\u0935\u0940\u0915\u0930\u0923\
|
| 132 |
+
\ \u092A\u0930 \u0915\u0948\u0938\u0947 \u0939\u092E\u0932\u093E \u0915\u093F\
|
| 133 |
+
\u092F\u093E?"
|
| 134 |
+
include: _continuation_template_yaml
|
| 135 |
+
process_docs: !function utils.process_docs_us_foreign_policy
|
| 136 |
+
tag: mmlu_hi_llama_social_sciences_tasks
|
| 137 |
+
task: mmlu_hi_llama_us_foreign_policy
|
| 138 |
+
task_alias: us_foreign_policy
|
lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_hi/mmlu_hi_world_religions.yaml
ADDED
|
@@ -0,0 +1,68 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
fewshot_config:
|
| 2 |
+
sampler: first_n
|
| 3 |
+
samples:
|
| 4 |
+
- input_choice_list:
|
| 5 |
+
A: "\u0907\u0902\u0926\u094D\u0930\u0927\u0928\u0941\u0937"
|
| 6 |
+
B: "\u092A\u0930\u093F\u0936\u0941\u0926\u094D\u0927 \u0915\u0930\u0923"
|
| 7 |
+
C: "\u090F\u0915 \u092C\u0947\u091F\u093E"
|
| 8 |
+
D: "\u092C\u093E\u0930 \u092E\u093F\u0924\u094D\u091C\u093C\u0935\u093E\u0939"
|
| 9 |
+
input_correct_responses:
|
| 10 |
+
- B
|
| 11 |
+
input_question: "\u092F\u0939\u0942\u0926\u0940 \u092A\u0941\u0930\u0941\u0937\
|
| 12 |
+
\u094B\u0902 \u0915\u0947 \u0932\u093F\u090F \u0935\u093E\u091A\u093E \u0915\
|
| 13 |
+
\u093E \u091A\u093F\u0928\u094D\u0939 \u0915\u094D\u092F\u093E \u0939\u0948?"
|
| 14 |
+
- input_choice_list:
|
| 15 |
+
A: "\u0927\u0930\u094D\u092E"
|
| 16 |
+
B: "\u0938\u0902\u0918"
|
| 17 |
+
C: "\u092C\u0941\u0926\u094D\u0927"
|
| 18 |
+
D: "\u092C\u094B\u0927\u093F\u0938\u0924\u094D\u0935"
|
| 19 |
+
input_correct_responses:
|
| 20 |
+
- A
|
| 21 |
+
input_question: "\u092C\u094C\u0926\u094D\u0927 \u0927\u0930\u094D\u092E \u092E\
|
| 22 |
+
\u0947\u0902 \u0926\u0942\u0938\u0930\u093E \u0930\u0924\u094D\u0928 \u0915\u094C\
|
| 23 |
+
\u0928 \u0938\u093E \u0939\u0948?"
|
| 24 |
+
- input_choice_list:
|
| 25 |
+
A: "\u0936\u093E\u0902\u0917"
|
| 26 |
+
B: "\u091D\u094B\u0909"
|
| 27 |
+
C: "\u0939\u093E\u0928"
|
| 28 |
+
D: "\u091C\u093C\u093F\u092F\u093E"
|
| 29 |
+
input_correct_responses:
|
| 30 |
+
- B
|
| 31 |
+
input_question: "\u0915\u093F\u0938 \u0930\u093E\u091C\u0935\u0902\u0936 \u092E\
|
| 32 |
+
\u0947\u0902 \u0928\u090F \u0936\u093E\u0938\u0915\u094B\u0902 \u0915\u094B\
|
| 33 |
+
\ \u0935\u0948\u0927 \u092C\u0928\u093E\u0928\u0947 \u0915\u0947 \u0932\u093F\
|
| 34 |
+
\u090F "\u0938\u094D\u0935\u0930\u094D\u0917 \u0915\u093E \u0906\u0926\u0947\
|
| 35 |
+
\u0936" \u0935\u093F\u0915\u0938\u093F\u0924 \u0915\u093F\u092F\u093E \u0917\
|
| 36 |
+
\u092F\u093E \u0925\u093E?"
|
| 37 |
+
- input_choice_list:
|
| 38 |
+
A: "\u0939\u094B\u0928\u0947\u0928"
|
| 39 |
+
B: "\u0924\u0928\u093E\u0915\u093E"
|
| 40 |
+
C: "\u0924\u094B\u0915\u0941\u0917\u093E\u0935\u093E"
|
| 41 |
+
D: "\u092E\u0940\u091C\u0940"
|
| 42 |
+
input_correct_responses:
|
| 43 |
+
- D
|
| 44 |
+
input_question: "\u0915\u093F\u0938 \u091C\u093E\u092A\u093E\u0928\u0940 \u0938\
|
| 45 |
+
\u0930\u0915\u093E\u0930 \u0928\u0947 \u0938\u092E\u094D\u0930\u093E\u091F \u0914\
|
| 46 |
+
\u0930 \u0915\u093E\u092E\u0940 \u0915\u0947 \u0938\u093E\u0925 \u0909\u0938\
|
| 47 |
+
\u0915\u0947 \u0938\u0902\u092C\u0902\u0927\u094B\u0902 \u092A\u0930 \u0906\u0927\
|
| 48 |
+
\u093E\u0930\u093F\u0924 \u090F\u0915 \u092A\u094D\u0930\u0915\u093E\u0930 \u0915\
|
| 49 |
+
\u0947 \u0930\u093E\u0937\u094D\u091F\u094D\u0930\u0940\u092F \u092A\u0902\u0925\
|
| 50 |
+
\ \u0915\u094B \u092C\u0922\u093C\u093E\u0935\u093E \u0926\u093F\u092F\u093E\
|
| 51 |
+
?"
|
| 52 |
+
- input_choice_list:
|
| 53 |
+
A: "\u0905\u0928\u0941\u0937\u094D\u0920\u093E\u0928 \u0917\u094D\u0930\u0902\
|
| 54 |
+
\u0925"
|
| 55 |
+
B: "\u0926\u093E\u0930\u094D\u0936\u0928\u093F\u0915 \u0917\u094D\u0930\u0902\
|
| 56 |
+
\u0925"
|
| 57 |
+
C: "\u092D\u091C\u0928"
|
| 58 |
+
D: "\u092E\u0942\u0932 \u0915\u0939\u093E\u0928\u093F\u092F\u093E\u0901"
|
| 59 |
+
input_correct_responses:
|
| 60 |
+
- B
|
| 61 |
+
input_question: "\u0909\u092A\u0928\u093F\u0937\u0926\u094B\u0902 \u0915\u093E\
|
| 62 |
+
\ \u0935\u0930\u094D\u0923\u0928 \u0915\u0948\u0938\u0947 \u0915\u093F\u092F\
|
| 63 |
+
\u093E \u091C\u093E \u0938\u0915\u0924\u093E \u0939\u0948?"
|
| 64 |
+
include: _continuation_template_yaml
|
| 65 |
+
process_docs: !function utils.process_docs_world_religions
|
| 66 |
+
tag: mmlu_hi_llama_humanities_tasks
|
| 67 |
+
task: mmlu_hi_llama_world_religions
|
| 68 |
+
task_alias: world_religions
|
lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_hi/utils.py
ADDED
|
@@ -0,0 +1,104 @@
|
|
|
|
|
|
|
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|
|
|
|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
from functools import partial
|
| 2 |
+
|
| 3 |
+
import datasets
|
| 4 |
+
|
| 5 |
+
|
| 6 |
+
def process_docs(dataset: datasets.Dataset, subtask) -> datasets.Dataset:
|
| 7 |
+
return dataset.filter(
|
| 8 |
+
lambda example: example["subtask_name"] == f"mmlu_hi_chat.{subtask}"
|
| 9 |
+
)
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
process_docs_econometrics = partial(process_docs, subtask="econometrics")
|
| 13 |
+
process_docs_public_relations = partial(process_docs, subtask="public_relations")
|
| 14 |
+
process_docs_astronomy = partial(process_docs, subtask="astronomy")
|
| 15 |
+
process_docs_conceptual_physics = partial(process_docs, subtask="conceptual_physics")
|
| 16 |
+
process_docs_college_medicine = partial(process_docs, subtask="college_medicine")
|
| 17 |
+
process_docs_global_facts = partial(process_docs, subtask="global_facts")
|
| 18 |
+
process_docs_marketing = partial(process_docs, subtask="marketing")
|
| 19 |
+
process_docs_high_school_physics = partial(process_docs, subtask="high_school_physics")
|
| 20 |
+
process_docs_college_computer_science = partial(
|
| 21 |
+
process_docs, subtask="college_computer_science"
|
| 22 |
+
)
|
| 23 |
+
process_docs_business_ethics = partial(process_docs, subtask="business_ethics")
|
| 24 |
+
process_docs_miscellaneous = partial(process_docs, subtask="miscellaneous")
|
| 25 |
+
process_docs_moral_disputes = partial(process_docs, subtask="moral_disputes")
|
| 26 |
+
process_docs_sociology = partial(process_docs, subtask="sociology")
|
| 27 |
+
process_docs_high_school_geography = partial(
|
| 28 |
+
process_docs, subtask="high_school_geography"
|
| 29 |
+
)
|
| 30 |
+
process_docs_high_school_microeconomics = partial(
|
| 31 |
+
process_docs, subtask="high_school_microeconomics"
|
| 32 |
+
)
|
| 33 |
+
process_docs_world_religions = partial(process_docs, subtask="world_religions")
|
| 34 |
+
process_docs_nutrition = partial(process_docs, subtask="nutrition")
|
| 35 |
+
process_docs_high_school_computer_science = partial(
|
| 36 |
+
process_docs, subtask="high_school_computer_science"
|
| 37 |
+
)
|
| 38 |
+
process_docs_college_biology = partial(process_docs, subtask="college_biology")
|
| 39 |
+
process_docs_logical_fallacies = partial(process_docs, subtask="logical_fallacies")
|
| 40 |
+
process_docs_elementary_mathematics = partial(
|
| 41 |
+
process_docs, subtask="elementary_mathematics"
|
| 42 |
+
)
|
| 43 |
+
process_docs_virology = partial(process_docs, subtask="virology")
|
| 44 |
+
process_docs_prehistory = partial(process_docs, subtask="prehistory")
|
| 45 |
+
process_docs_college_physics = partial(process_docs, subtask="college_physics")
|
| 46 |
+
process_docs_computer_security = partial(process_docs, subtask="computer_security")
|
| 47 |
+
process_docs_machine_learning = partial(process_docs, subtask="machine_learning")
|
| 48 |
+
process_docs_electrical_engineering = partial(
|
| 49 |
+
process_docs, subtask="electrical_engineering"
|
| 50 |
+
)
|
| 51 |
+
process_docs_professional_psychology = partial(
|
| 52 |
+
process_docs, subtask="professional_psychology"
|
| 53 |
+
)
|
| 54 |
+
process_docs_high_school_biology = partial(process_docs, subtask="high_school_biology")
|
| 55 |
+
process_docs_high_school_statistics = partial(
|
| 56 |
+
process_docs, subtask="high_school_statistics"
|
| 57 |
+
)
|
| 58 |
+
process_docs_moral_scenarios = partial(process_docs, subtask="moral_scenarios")
|
| 59 |
+
process_docs_high_school_world_history = partial(
|
| 60 |
+
process_docs, subtask="high_school_world_history"
|
| 61 |
+
)
|
| 62 |
+
process_docs_college_mathematics = partial(process_docs, subtask="college_mathematics")
|
| 63 |
+
process_docs_high_school_government_and_politics = partial(
|
| 64 |
+
process_docs, subtask="high_school_government_and_politics"
|
| 65 |
+
)
|
| 66 |
+
process_docs_professional_accounting = partial(
|
| 67 |
+
process_docs, subtask="professional_accounting"
|
| 68 |
+
)
|
| 69 |
+
process_docs_jurisprudence = partial(process_docs, subtask="jurisprudence")
|
| 70 |
+
process_docs_high_school_european_history = partial(
|
| 71 |
+
process_docs, subtask="high_school_european_history"
|
| 72 |
+
)
|
| 73 |
+
process_docs_professional_medicine = partial(
|
| 74 |
+
process_docs, subtask="professional_medicine"
|
| 75 |
+
)
|
| 76 |
+
process_docs_high_school_mathematics = partial(
|
| 77 |
+
process_docs, subtask="high_school_mathematics"
|
| 78 |
+
)
|
| 79 |
+
process_docs_anatomy = partial(process_docs, subtask="anatomy")
|
| 80 |
+
process_docs_abstract_algebra = partial(process_docs, subtask="abstract_algebra")
|
| 81 |
+
process_docs_philosophy = partial(process_docs, subtask="philosophy")
|
| 82 |
+
process_docs_medical_genetics = partial(process_docs, subtask="medical_genetics")
|
| 83 |
+
process_docs_us_foreign_policy = partial(process_docs, subtask="us_foreign_policy")
|
| 84 |
+
process_docs_security_studies = partial(process_docs, subtask="security_studies")
|
| 85 |
+
process_docs_high_school_macroeconomics = partial(
|
| 86 |
+
process_docs, subtask="high_school_macroeconomics"
|
| 87 |
+
)
|
| 88 |
+
process_docs_human_sexuality = partial(process_docs, subtask="human_sexuality")
|
| 89 |
+
process_docs_high_school_us_history = partial(
|
| 90 |
+
process_docs, subtask="high_school_us_history"
|
| 91 |
+
)
|
| 92 |
+
process_docs_human_aging = partial(process_docs, subtask="human_aging")
|
| 93 |
+
process_docs_formal_logic = partial(process_docs, subtask="formal_logic")
|
| 94 |
+
process_docs_professional_law = partial(process_docs, subtask="professional_law")
|
| 95 |
+
process_docs_international_law = partial(process_docs, subtask="international_law")
|
| 96 |
+
process_docs_high_school_psychology = partial(
|
| 97 |
+
process_docs, subtask="high_school_psychology"
|
| 98 |
+
)
|
| 99 |
+
process_docs_management = partial(process_docs, subtask="management")
|
| 100 |
+
process_docs_high_school_chemistry = partial(
|
| 101 |
+
process_docs, subtask="high_school_chemistry"
|
| 102 |
+
)
|
| 103 |
+
process_docs_college_chemistry = partial(process_docs, subtask="college_chemistry")
|
| 104 |
+
process_docs_clinical_knowledge = partial(process_docs, subtask="clinical_knowledge")
|
lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/_mmlu_it_humanities.yaml
ADDED
|
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
group: mmlu_it_llama_humanities
|
| 2 |
+
group_alias: humanities
|
| 3 |
+
task:
|
| 4 |
+
- mmlu_it_llama_humanities_tasks
|
| 5 |
+
aggregate_metric_list:
|
| 6 |
+
- metric: exact_match
|
| 7 |
+
aggregation: mean
|
| 8 |
+
weight_by_size: True
|
| 9 |
+
filter_list: [strict_match]
|
| 10 |
+
metadata:
|
| 11 |
+
version: 1
|
lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/_mmlu_it_other.yaml
ADDED
|
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
group: mmlu_it_llama_other
|
| 2 |
+
group_alias: other
|
| 3 |
+
task:
|
| 4 |
+
- mmlu_it_llama_other_tasks
|
| 5 |
+
aggregate_metric_list:
|
| 6 |
+
- metric: exact_match
|
| 7 |
+
aggregation: mean
|
| 8 |
+
weight_by_size: True
|
| 9 |
+
filter_list: [strict_match]
|
| 10 |
+
metadata:
|
| 11 |
+
version: 1
|
lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_astronomy.yaml
ADDED
|
@@ -0,0 +1,65 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
fewshot_config:
|
| 2 |
+
sampler: first_n
|
| 3 |
+
samples:
|
| 4 |
+
- input_choice_list:
|
| 5 |
+
A: "Sarebbe pi\xF9 difficile dato che il camion \xE8 pi\xF9 pesante su Marte."
|
| 6 |
+
B: "Sarebbe pi\xF9 facile dato che il camion \xE8 pi\xF9 leggero su Marte."
|
| 7 |
+
C: "Sarebbe pi\xF9 difficile poich\xE9 il camion \xE8 pi\xF9 leggero su Marte."
|
| 8 |
+
D: Sarebbe lo stesso, non importa dove ti trovi.
|
| 9 |
+
input_correct_responses:
|
| 10 |
+
- D
|
| 11 |
+
input_question: "Stai spingendo un camion lungo una strada. Sarebbe pi\xF9 facile\
|
| 12 |
+
\ accelerare questo camion su Marte? Perch\xE9? (Supponiamo che non vi sia attrito)"
|
| 13 |
+
- input_choice_list:
|
| 14 |
+
A: La cintura di Kuiper; le comete di breve periodo tendono a trovarsi nel piano
|
| 15 |
+
del sistema solare proprio come la fascia di Kuiper.
|
| 16 |
+
B: La cintura di Kuiper; le comete di breve periodo tendono a provenire da direzioni
|
| 17 |
+
casuali che indicano una distribuzione sferica delle comete chiamata fascia
|
| 18 |
+
di Kuiper.
|
| 19 |
+
C: La cintura degli asteroidi; le comete di breve periodo hanno periodi orbitali
|
| 20 |
+
simili a quelli degli asteroidi come Vesta e si trovano nel piano del sistema
|
| 21 |
+
solare proprio come la cintura degli asteroidi.
|
| 22 |
+
D: La nube di Oort; le comete di breve periodo tendono a trovarsi nel piano
|
| 23 |
+
del sistema solare proprio come la nube di Oort.
|
| 24 |
+
input_correct_responses:
|
| 25 |
+
- A
|
| 26 |
+
input_question: Da dove provengono la maggior parte delle comete di breve periodo
|
| 27 |
+
e come lo sappiamo?
|
| 28 |
+
- input_choice_list:
|
| 29 |
+
A: "10000 volte di pi\xF9"
|
| 30 |
+
B: "100 volte di pi\xF9"
|
| 31 |
+
C: "1000 volte di pi\xF9"
|
| 32 |
+
D: "10 volte di pi\xF9"
|
| 33 |
+
input_correct_responses:
|
| 34 |
+
- A
|
| 35 |
+
input_question: "Supponiamo che la pupilla del tuo occhio abbia un diametro di\
|
| 36 |
+
\ 5 mm e che tu abbia un telescopio con un'apertura di 50 cm. Quanta pi\xF9\
|
| 37 |
+
\ luce pu\xF2 raccogliere il telescopio rispetto al tuo occhio?"
|
| 38 |
+
- input_choice_list:
|
| 39 |
+
A: "Qui una volta si form\xF2 un pianeta, ma fu distrutto da una collisione\
|
| 40 |
+
\ catastrofica."
|
| 41 |
+
B: In questa parte della nebulosa solare non c'era abbastanza materiale
|
| 42 |
+
per formare un pianeta.
|
| 43 |
+
C: C'era troppo materiale roccioso per formare un pianeta terrestre ma non
|
| 44 |
+
abbastanza materiale gassoso per formare un pianeta gioviano.
|
| 45 |
+
D: La risonanza con Giove ha impedito al materiale di riunirsi per formare un
|
| 46 |
+
pianeta.
|
| 47 |
+
input_correct_responses:
|
| 48 |
+
- D
|
| 49 |
+
input_question: "Perch\xE9 non esiste un pianeta dove si trova la fascia degli\
|
| 50 |
+
\ asteroidi?"
|
| 51 |
+
- input_choice_list:
|
| 52 |
+
A: "Perch\xE9 la superficie \xE8 ricoperta da minerali fortemente ossidati ("arrugginiti")."
|
| 53 |
+
B: "Perch\xE9 l\u2019atmosfera disperde pi\xF9 luce alle lunghezze d\u2019onda\
|
| 54 |
+
\ pi\xF9 blu trasmettendo principalmente luce rossa."
|
| 55 |
+
C: "Perch\xE9 Marte \xE8 ricoperto da antiche colate laviche di colore rosso."
|
| 56 |
+
D: "Perch\xE9 l'acqua che scorre sulla superficie di Marte ha alterato i\
|
| 57 |
+
\ minerali superficiali diversi miliardi di anni fa."
|
| 58 |
+
input_correct_responses:
|
| 59 |
+
- A
|
| 60 |
+
input_question: "Perch\xE9 Marte \xE8 rosso?"
|
| 61 |
+
include: _continuation_template_yaml
|
| 62 |
+
process_docs: !function utils.process_docs_astronomy
|
| 63 |
+
tag: mmlu_it_llama_stem_tasks
|
| 64 |
+
task: mmlu_it_llama_astronomy
|
| 65 |
+
task_alias: astronomy
|
lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_clinical_knowledge.yaml
ADDED
|
@@ -0,0 +1,54 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
fewshot_config:
|
| 2 |
+
sampler: first_n
|
| 3 |
+
samples:
|
| 4 |
+
- input_choice_list:
|
| 5 |
+
A: ATP.
|
| 6 |
+
B: ADP.
|
| 7 |
+
C: fosfocreatina.
|
| 8 |
+
D: fosforilazione ossidativa.
|
| 9 |
+
input_correct_responses:
|
| 10 |
+
- A
|
| 11 |
+
input_question: "L\u2019energia per tutte le forme di contrazione muscolare \xE8\
|
| 12 |
+
\ fornita da:"
|
| 13 |
+
- input_choice_list:
|
| 14 |
+
A: I cateteri maschili e femminili sono di colori diversi.
|
| 15 |
+
B: "I cateteri maschili sono pi\xF9 lunghi dei cateteri femminili."
|
| 16 |
+
C: "I cateteri maschili sono pi\xF9 grandi dei cateteri femminili."
|
| 17 |
+
D: "I cateteri femminili sono pi\xF9 lunghi dei cateteri maschili."
|
| 18 |
+
input_correct_responses:
|
| 19 |
+
- B
|
| 20 |
+
input_question: "Qual \xE8 la differenza tra un catetere maschile e uno femminile?"
|
| 21 |
+
- input_choice_list:
|
| 22 |
+
A: "L'abduzione del pollice \xE8 fornita dalla radice spinale T2"
|
| 23 |
+
B: "L'opposizione del pollice da parte dell'opponens policis \xE8 fornita\
|
| 24 |
+
\ dalla radice spinale T1"
|
| 25 |
+
C: "L'adduzione delle dita \xE8 fornita dal nervo mediano"
|
| 26 |
+
D: "Il rapimento delle dita \xE8 mediato dagli interossei palmari"
|
| 27 |
+
input_correct_responses:
|
| 28 |
+
- B
|
| 29 |
+
input_question: "Nella valutazione della funzione della mano quale delle seguenti\
|
| 30 |
+
\ affermazioni \xE8 vera?"
|
| 31 |
+
- input_choice_list:
|
| 32 |
+
A: '4'
|
| 33 |
+
B: '3'
|
| 34 |
+
C: '2'
|
| 35 |
+
D: '1'
|
| 36 |
+
input_correct_responses:
|
| 37 |
+
- C
|
| 38 |
+
input_question: "Quanti tentativi si dovrebbero fare per incannulare un paziente\
|
| 39 |
+
\ prima di passare il lavoro a un collega pi\xF9 anziano, secondo le conoscenze\
|
| 40 |
+
\ mediche del 2020?"
|
| 41 |
+
- input_choice_list:
|
| 42 |
+
A: glicogeno a glucosio-1-fosfato.
|
| 43 |
+
B: glicogeno o glucosio in fruttosio.
|
| 44 |
+
C: glicogeno o glucosio a piruvato o lattato.
|
| 45 |
+
D: glicogeno o glucosio a piruvato o acetil CoA.
|
| 46 |
+
input_correct_responses:
|
| 47 |
+
- C
|
| 48 |
+
input_question: "La glicolisi \xE8 il nome dato al percorso che comporta la conversione\
|
| 49 |
+
\ di:"
|
| 50 |
+
include: _continuation_template_yaml
|
| 51 |
+
process_docs: !function utils.process_docs_clinical_knowledge
|
| 52 |
+
tag: mmlu_it_llama_other_tasks
|
| 53 |
+
task: mmlu_it_llama_clinical_knowledge
|
| 54 |
+
task_alias: clinical_knowledge
|
lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_college_biology.yaml
ADDED
|
@@ -0,0 +1,58 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
fewshot_config:
|
| 2 |
+
sampler: first_n
|
| 3 |
+
samples:
|
| 4 |
+
- input_choice_list:
|
| 5 |
+
A: Possiedono un esoscheletro composto principalmente da peptidoglicano.
|
| 6 |
+
B: Possiedono un sistema circolatorio aperto con un cuore dorsale.
|
| 7 |
+
C: Sono membri di un phylum biologicamente fallito, incapace di sfruttare diversi
|
| 8 |
+
habitat e fonti di nutrimento.
|
| 9 |
+
D: Sono privi di appendici accoppiate e articolate.
|
| 10 |
+
input_correct_responses:
|
| 11 |
+
- B
|
| 12 |
+
input_question: Quale delle seguenti rappresenta un'affermazione accurata
|
| 13 |
+
riguardo agli artropodi?
|
| 14 |
+
- input_choice_list:
|
| 15 |
+
A: 1/400
|
| 16 |
+
B: 19/400
|
| 17 |
+
C: 20/400
|
| 18 |
+
D: 38/400
|
| 19 |
+
input_correct_responses:
|
| 20 |
+
- D
|
| 21 |
+
input_question: "In una data popolazione, 1 persona su 400 ha un cancro causato\
|
| 22 |
+
\ da un allele completamente recessivo, b. Supponendo che la popolazione sia\
|
| 23 |
+
\ in equilibrio di Hardy-Weinberg, quale delle seguenti \xE8 la percentuale\
|
| 24 |
+
\ attesa di individui portatori dell'allele b ma che non si prevede sviluppino\
|
| 25 |
+
\ il cancro?"
|
| 26 |
+
- input_choice_list:
|
| 27 |
+
A: l'uomo e l'uccello sono specie polifiletiche
|
| 28 |
+
B: "l'evoluzione di un essere umano e di un uccello \xE8 convergente"
|
| 29 |
+
C: l'umano e l'uccello appartengono a un clade
|
| 30 |
+
D: l'uomo e l'uccello si sono sviluppati per analogia
|
| 31 |
+
input_correct_responses:
|
| 32 |
+
- C
|
| 33 |
+
input_question: La presenza di strutture omologhe in due organismi diversi, come
|
| 34 |
+
l'omero nell'arto anteriore di un essere umano e di un uccello, lo indica
|
| 35 |
+
- input_choice_list:
|
| 36 |
+
A: una pompa pressione-flusso dipendente dall'ATP
|
| 37 |
+
B: "un gradiente potenziale della pressione dell\u2019acqua"
|
| 38 |
+
C: traspirazione
|
| 39 |
+
D: diffusione apoplastica
|
| 40 |
+
input_correct_responses:
|
| 41 |
+
- B
|
| 42 |
+
input_question: "Secondo il modello pressione-flusso del movimento del contenuto\
|
| 43 |
+
\ del floema, il movimento del fotosintetato dalla sorgente al pozzo \xE8 guidato\
|
| 44 |
+
\ da"
|
| 45 |
+
- input_choice_list:
|
| 46 |
+
A: Telomeri
|
| 47 |
+
B: Centromeri
|
| 48 |
+
C: Nucleosomi
|
| 49 |
+
D: Spliceosomi
|
| 50 |
+
input_correct_responses:
|
| 51 |
+
- B
|
| 52 |
+
input_question: Quale dei seguenti contiene sequenze di DNA necessarie per la
|
| 53 |
+
segregazione dei cromosomi nella mitosi e nella meiosi?
|
| 54 |
+
include: _continuation_template_yaml
|
| 55 |
+
process_docs: !function utils.process_docs_college_biology
|
| 56 |
+
tag: mmlu_it_llama_stem_tasks
|
| 57 |
+
task: mmlu_it_llama_college_biology
|
| 58 |
+
task_alias: college_biology
|
lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_college_chemistry.yaml
ADDED
|
@@ -0,0 +1,59 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
fewshot_config:
|
| 2 |
+
sampler: first_n
|
| 3 |
+
samples:
|
| 4 |
+
- input_choice_list:
|
| 5 |
+
A: "Lo stato di ossidazione pi\xF9 comune per gli elementi lantanidi \xE8 +3."
|
| 6 |
+
B: I complessi di lantanidi hanno spesso numeri di coordinazione elevati (>
|
| 7 |
+
6).
|
| 8 |
+
C: Tutti gli elementi lantanidi reagiscono con l'acido acquoso per liberare
|
| 9 |
+
idrogeno.
|
| 10 |
+
D: I raggi atomici degli elementi lantanidi aumentano nel periodo da La a Lu.
|
| 11 |
+
input_correct_responses:
|
| 12 |
+
- D
|
| 13 |
+
input_question: "Quale delle seguenti affermazioni sugli elementi lantanidi NON\
|
| 14 |
+
\ \xE8 vera?"
|
| 15 |
+
- input_choice_list:
|
| 16 |
+
A: 1,0 ml
|
| 17 |
+
B: 10 ml
|
| 18 |
+
C: 20 ml
|
| 19 |
+
D: 50 ml
|
| 20 |
+
input_correct_responses:
|
| 21 |
+
- C
|
| 22 |
+
input_question: Un campione di 0,217 g di HgO (massa molare = 217 g) reagisce
|
| 23 |
+
con gli ioni ioduro in eccesso secondo la reazione mostrata sopra. La titolazione
|
| 24 |
+
della soluzione risultante richiede quanti ml di HCl 0,10 M per raggiungere
|
| 25 |
+
il punto equivalente?
|
| 26 |
+
- input_choice_list:
|
| 27 |
+
A: '4'
|
| 28 |
+
B: '3'
|
| 29 |
+
C: '6'
|
| 30 |
+
D: '24'
|
| 31 |
+
input_correct_responses:
|
| 32 |
+
- A
|
| 33 |
+
input_question: "Prevedere il numero di linee nello spettro EPR di una soluzione\
|
| 34 |
+
\ di radicale metilico marcato con 13C (13CH3\u2022), presupponendo che le linee\
|
| 35 |
+
\ non si sovrappongano."
|
| 36 |
+
- input_choice_list:
|
| 37 |
+
A: un acido
|
| 38 |
+
B: una base
|
| 39 |
+
C: un catalizzatore
|
| 40 |
+
D: un agente riducente
|
| 41 |
+
input_correct_responses:
|
| 42 |
+
- D
|
| 43 |
+
input_question: "3 Cl\u2212(aq) + 4 CrO_4^2\u2212(aq) + 23 H+(aq) \u2192 3 HClO2(aq)\
|
| 44 |
+
\ + 4 Cr3+(aq) + 10 H2O(l). Nella reazione mostrata sopra, Cl\u2212(aq) si comporta\
|
| 45 |
+
\ come"
|
| 46 |
+
- input_choice_list:
|
| 47 |
+
A: PbH4 < SnH4 < GeH4 < SiH4 < CH4
|
| 48 |
+
B: PbH4 < SnH4 < CH4 < GeH4 < SiH4
|
| 49 |
+
C: CH4 < SiH4 < GeH4 < SnH4 < PbH4
|
| 50 |
+
D: CH4 < PbH4 < GeH4 < SnH4 < SiH4
|
| 51 |
+
input_correct_responses:
|
| 52 |
+
- A
|
| 53 |
+
input_question: "Quale delle seguenti elenca gli idruri degli elementi del gruppo\
|
| 54 |
+
\ 14 in ordine di stabilit\xE0 termica, dal pi\xF9 basso al pi\xF9 alto?"
|
| 55 |
+
include: _continuation_template_yaml
|
| 56 |
+
process_docs: !function utils.process_docs_college_chemistry
|
| 57 |
+
tag: mmlu_it_llama_stem_tasks
|
| 58 |
+
task: mmlu_it_llama_college_chemistry
|
| 59 |
+
task_alias: college_chemistry
|
lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_college_computer_science.yaml
ADDED
|
@@ -0,0 +1,81 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
fewshot_config:
|
| 2 |
+
sampler: first_n
|
| 3 |
+
samples:
|
| 4 |
+
- input_choice_list:
|
| 5 |
+
A: a*(c + d)+ b(c + d)
|
| 6 |
+
B: a*(c+d)* + b(c+d)*
|
| 7 |
+
C: a*(c + d)+ b*(c + d)
|
| 8 |
+
D: (a + b)*c +(a + b)*d
|
| 9 |
+
input_correct_responses:
|
| 10 |
+
- D
|
| 11 |
+
input_question: "Quale delle seguenti espressioni regolari \xE8 equivalente a\
|
| 12 |
+
\ (descrive lo stesso insieme di stringhe di) (a* + b)*(c + d)?"
|
| 13 |
+
- input_choice_list:
|
| 14 |
+
A: '5'
|
| 15 |
+
B: '6'
|
| 16 |
+
C: '7'
|
| 17 |
+
D: '8'
|
| 18 |
+
input_correct_responses:
|
| 19 |
+
- B
|
| 20 |
+
input_question: "Una determinata macchina RISC in pipeline ha 8 registri di uso\
|
| 21 |
+
\ generale R0, R1, . . . , R7 e supporta le seguenti operazioni. AGGIUNGI Rs1,\
|
| 22 |
+
\ Rs2, Rd Somma Rs1 a Rs2 e metti la somma in Rd MUL Rs1, Rs2, Rd Moltiplica\
|
| 23 |
+
\ Rs1 per Rs2 e metti il prodotto in Rd Un'operazione normalmente richiede\
|
| 24 |
+
\ un ciclo; tuttavia, un'operazione richiede due cicli se produce un risultato\
|
| 25 |
+
\ richiesto dall'operazione immediatamente successiva in una sequenza di\
|
| 26 |
+
\ operazioni. Considera l'espressione AB + ABC + BC, dove le variabili A,\
|
| 27 |
+
\ B, C si trovano nei registri R0, R1, R2. Se il contenuto di questi tre registri\
|
| 28 |
+
\ non deve essere modificato, qual \xE8 il numero minimo di cicli di clock richiesti\
|
| 29 |
+
\ per una sequenza di operazioni che calcola il valore di AB + ABC + BC?"
|
| 30 |
+
- input_choice_list:
|
| 31 |
+
A: I solo
|
| 32 |
+
B: Solo II
|
| 33 |
+
C: Solo III
|
| 34 |
+
D: I, II e III
|
| 35 |
+
input_correct_responses:
|
| 36 |
+
- D
|
| 37 |
+
input_question: "Il modello di progettazione Singleton viene utilizzato per garantire\
|
| 38 |
+
\ che sia possibile istanziare solo una singola istanza di una classe. Quale\
|
| 39 |
+
\ delle seguenti affermazioni \xE8 (sono) vera per questo modello di progettazione?\
|
| 40 |
+
\ I. La classe Singleton ha un metodo factory statico per fornire la sua istanza.\
|
| 41 |
+
\ II. La classe Singleton pu\xF2 essere una sottoclasse di un'altra classe.\
|
| 42 |
+
\ III. La classe Singleton ha un costruttore privato."
|
| 43 |
+
- input_choice_list:
|
| 44 |
+
A: '5'
|
| 45 |
+
B: '6'
|
| 46 |
+
C: '7'
|
| 47 |
+
D: '9'
|
| 48 |
+
input_correct_responses:
|
| 49 |
+
- D
|
| 50 |
+
input_question: "Un compilatore genera codice per la seguente istruzione di assegnazione.\
|
| 51 |
+
\ G := (A + B) * C - (D + E) * F La macchina target ha un singolo accumulatore\
|
| 52 |
+
\ e un set di istruzioni a indirizzo singolo costituito da istruzioni caricare,\
|
| 53 |
+
\ memorizzare, aggiungere, sottrarre e moltiplicare. Per le operazioni aritmetiche,\
|
| 54 |
+
\ l'operando sinistro viene prelevato dall'accumulatore e il risultato\
|
| 55 |
+
\ appare nell'accumulatore. Il minor numero possibile di istruzioni nel\
|
| 56 |
+
\ codice risultante \xE8"
|
| 57 |
+
- input_choice_list:
|
| 58 |
+
A: 1/50
|
| 59 |
+
B: 1/27
|
| 60 |
+
C: 1/25
|
| 61 |
+
D: 27/2
|
| 62 |
+
input_correct_responses:
|
| 63 |
+
- B
|
| 64 |
+
input_question: "Consideriamo un progetto di computer in cui pi\xF9 processori,\
|
| 65 |
+
\ ciascuno con una memoria cache privata, condividono la memoria globale utilizzando\
|
| 66 |
+
\ un singolo bus. Questo bus \xE8 la risorsa critica del sistema. Ogni processore\
|
| 67 |
+
\ pu\xF2 eseguire un'istruzione ogni 500 nanosecondi purch\xE9 i riferimenti\
|
| 68 |
+
\ di memoria siano soddisfatti dalla cache locale. Quando si verifica un errore\
|
| 69 |
+
\ nella cache, il processore viene ritardato di altri 2.000 nanosecondi. Durante\
|
| 70 |
+
\ la met\xE0 di questo ritardo aggiuntivo, l'autobus \xE8 dedicato a servire\
|
| 71 |
+
\ la cache miss. Durante l'altra met\xE0, il processore non pu\xF2 continuare,\
|
| 72 |
+
\ ma il bus \xE8 libero di soddisfare le richieste di altri processori. In media,\
|
| 73 |
+
\ ogni istruzione richiede 2 riferimenti di memoria. In media, gli errori di\
|
| 74 |
+
\ cache si verificano nell'1% dei riferimenti. Quale percentuale della capacit\xE0\
|
| 75 |
+
\ del bus consumerebbe un singolo processore, ignorando i ritardi dovuti alla\
|
| 76 |
+
\ concorrenza di altri processori?"
|
| 77 |
+
include: _continuation_template_yaml
|
| 78 |
+
process_docs: !function utils.process_docs_college_computer_science
|
| 79 |
+
tag: mmlu_it_llama_stem_tasks
|
| 80 |
+
task: mmlu_it_llama_college_computer_science
|
| 81 |
+
task_alias: college_computer_science
|
lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_college_mathematics.yaml
ADDED
|
@@ -0,0 +1,64 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
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|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
fewshot_config:
|
| 2 |
+
sampler: first_n
|
| 3 |
+
samples:
|
| 4 |
+
- input_choice_list:
|
| 5 |
+
A: ST = 0
|
| 6 |
+
B: ST = T
|
| 7 |
+
C: ST = ST
|
| 8 |
+
D: "ST - TS \xE8 la mappa identitaria di V su se stessa."
|
| 9 |
+
input_correct_responses:
|
| 10 |
+
- D
|
| 11 |
+
input_question: "Sia V l'insieme di tutti i polinomi reali p(x). Siano definite\
|
| 12 |
+
\ le trasformazioni T, S su V da T:p(x) -> xp(x) e S:p(x) -> p'(x)\
|
| 13 |
+
\ = d/dx p(x), e si interpreti (ST) (p(x)) come S(T(p(x))). Quale delle seguenti\
|
| 14 |
+
\ affermazioni \xE8 vera?"
|
| 15 |
+
- input_choice_list:
|
| 16 |
+
A: '2'
|
| 17 |
+
B: 2 - e^-2
|
| 18 |
+
C: 2+e^-2
|
| 19 |
+
D: 2+e^-4
|
| 20 |
+
input_correct_responses:
|
| 21 |
+
- D
|
| 22 |
+
input_question: "Un serbatoio contiene inizialmente una soluzione salina composta\
|
| 23 |
+
\ da 3 grammi di sale disciolti in 100 litri di acqua. Nel serbatoio viene spruzzata\
|
| 24 |
+
\ una soluzione salina contenente 0,02 grammi di sale per litro d'acqua\
|
| 25 |
+
\ ad una velocit\xE0 di 4 litri al minuto. La soluzione spruzzata viene continuamente\
|
| 26 |
+
\ miscelata con la soluzione salina contenuta nel serbatoio e la miscela fuoriesce\
|
| 27 |
+
\ dal serbatoio ad una velocit\xE0 di 4 litri al minuto. Se la miscelazione\
|
| 28 |
+
\ \xE8 istantanea, quanti grammi di sale ci sono nel serbatoio dopo che sono\
|
| 29 |
+
\ trascorsi 100 minuti?"
|
| 30 |
+
- input_choice_list:
|
| 31 |
+
A: I solo
|
| 32 |
+
B: Solo II
|
| 33 |
+
C: Solo III
|
| 34 |
+
D: Solo II e III
|
| 35 |
+
input_correct_responses:
|
| 36 |
+
- B
|
| 37 |
+
input_question: "Sia A una matrice 2x2 reale. Quale delle seguenti affermazioni\
|
| 38 |
+
\ deve essere vera? I. Tutte le voci di A^2 sono non negative. II. Il determinante\
|
| 39 |
+
\ di A^2 non \xE8 negativo. III. Se A ha due autovalori distinti, allora A^2\
|
| 40 |
+
\ ha due autovalori distinti."
|
| 41 |
+
- input_choice_list:
|
| 42 |
+
A: '-11'
|
| 43 |
+
B: '0'
|
| 44 |
+
C: '11'
|
| 45 |
+
D: 33/2
|
| 46 |
+
input_correct_responses:
|
| 47 |
+
- C
|
| 48 |
+
input_question: "Supponiamo che f(1 + x) = f(x) per ogni x reale. Se f \xE8 un\
|
| 49 |
+
\ polinomio e f(5) = 11, allora f(15/2)"
|
| 50 |
+
- input_choice_list:
|
| 51 |
+
A: '-5'
|
| 52 |
+
B: '-4'
|
| 53 |
+
C: '-3'
|
| 54 |
+
D: '-2'
|
| 55 |
+
input_correct_responses:
|
| 56 |
+
- B
|
| 57 |
+
input_question: "Sia A l'insieme di tutte le coppie ordinate di interi (m,\
|
| 58 |
+
\ n) tali che 7m + 12n = 22. Qual \xE8 il numero negativo pi\xF9 grande nell'insieme\
|
| 59 |
+
\ B = {m + n : (m, n) \\in A}?"
|
| 60 |
+
include: _continuation_template_yaml
|
| 61 |
+
process_docs: !function utils.process_docs_college_mathematics
|
| 62 |
+
tag: mmlu_it_llama_stem_tasks
|
| 63 |
+
task: mmlu_it_llama_college_mathematics
|
| 64 |
+
task_alias: college_mathematics
|
lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_college_physics.yaml
ADDED
|
@@ -0,0 +1,62 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
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|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
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|
|
|
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|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
fewshot_config:
|
| 2 |
+
sampler: first_n
|
| 3 |
+
samples:
|
| 4 |
+
- input_choice_list:
|
| 5 |
+
A: '4'
|
| 6 |
+
B: '5'
|
| 7 |
+
C: '6'
|
| 8 |
+
D: '20'
|
| 9 |
+
input_correct_responses:
|
| 10 |
+
- A
|
| 11 |
+
input_question: "Un telescopio rifrattore \xE8 formato da due lenti convergenti\
|
| 12 |
+
\ separate da 100 cm. La lente dell'oculare ha una lunghezza focale di 20\
|
| 13 |
+
\ cm. L'ingrandimento angolare del telescopio \xE8"
|
| 14 |
+
- input_choice_list:
|
| 15 |
+
A: Temperatura costante
|
| 16 |
+
B: Volume costante
|
| 17 |
+
C: Pressione costante
|
| 18 |
+
D: Adiabatico
|
| 19 |
+
input_correct_responses:
|
| 20 |
+
- B
|
| 21 |
+
input_question: "Per quale dei seguenti processi termodinamici l'aumento dell'energia\
|
| 22 |
+
\ interna di un gas ideale \xE8 uguale al calore ceduto al gas?"
|
| 23 |
+
- input_choice_list:
|
| 24 |
+
A: 2,4 V
|
| 25 |
+
B: 3,3 V
|
| 26 |
+
C: 4,5 V
|
| 27 |
+
D: 5,7 V
|
| 28 |
+
input_correct_responses:
|
| 29 |
+
- A
|
| 30 |
+
input_question: "Un'estremit\xE0 di un filo di nichelcromo di lunghezza 2L\
|
| 31 |
+
\ e area di sezione trasversale A \xE8 collegata a un'estremit\xE0 di un\
|
| 32 |
+
\ altro filo di nichelcromo di lunghezza L e area di sezione trasversale 2A.\
|
| 33 |
+
\ Se l'estremit\xE0 libera del filo pi\xF9 lungo ha un potenziale elettrico\
|
| 34 |
+
\ di 8,0 volt e l'estremit\xE0 libera del filo pi\xF9 corto ha un potenziale\
|
| 35 |
+
\ elettrico di 1,0 volt, il potenziale alla giunzione dei due fili \xE8 quasi\
|
| 36 |
+
\ uguale a"
|
| 37 |
+
- input_choice_list:
|
| 38 |
+
A: '4'
|
| 39 |
+
B: '5'
|
| 40 |
+
C: '6'
|
| 41 |
+
D: '20'
|
| 42 |
+
input_correct_responses:
|
| 43 |
+
- A
|
| 44 |
+
input_question: "Un telescopio rifrattore \xE8 formato da due lenti convergenti\
|
| 45 |
+
\ separate da 100 cm. La lente dell'oculare ha una lunghezza focale di 20\
|
| 46 |
+
\ cm. L'ingrandimento angolare del telescopio \xE8"
|
| 47 |
+
- input_choice_list:
|
| 48 |
+
A: carica
|
| 49 |
+
B: massa
|
| 50 |
+
C: energia e slancio
|
| 51 |
+
D: numero leptonico
|
| 52 |
+
input_correct_responses:
|
| 53 |
+
- D
|
| 54 |
+
input_question: "Il muone decade con una vita caratteristica di circa 10^-6 secondi\
|
| 55 |
+
\ in un elettrone, un neutrino muonico e un antineutrino elettronico. Al muone\
|
| 56 |
+
\ \xE8 vietato decadere in un elettrone e in un solo neutrino dalla legge di\
|
| 57 |
+
\ conservazione"
|
| 58 |
+
include: _continuation_template_yaml
|
| 59 |
+
process_docs: !function utils.process_docs_college_physics
|
| 60 |
+
tag: mmlu_it_llama_stem_tasks
|
| 61 |
+
task: mmlu_it_llama_college_physics
|
| 62 |
+
task_alias: college_physics
|
lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_conceptual_physics.yaml
ADDED
|
@@ -0,0 +1,53 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
fewshot_config:
|
| 2 |
+
sampler: first_n
|
| 3 |
+
samples:
|
| 4 |
+
- input_choice_list:
|
| 5 |
+
A: meno
|
| 6 |
+
B: "Di pi\xF9"
|
| 7 |
+
C: lo stesso
|
| 8 |
+
D: zero
|
| 9 |
+
input_correct_responses:
|
| 10 |
+
- A
|
| 11 |
+
input_question: Rispetto alla massa di un atomo di uranio sottoposto a fissione,
|
| 12 |
+
le masse combinate dei prodotti dopo la fissione sono
|
| 13 |
+
- input_choice_list:
|
| 14 |
+
A: spazio e tempo.
|
| 15 |
+
B: un gemello viaggiante e un gemello casalingo.
|
| 16 |
+
C: "gravit\xE0 e accelerazione."
|
| 17 |
+
D: massa ed energia.
|
| 18 |
+
input_correct_responses:
|
| 19 |
+
- C
|
| 20 |
+
input_question: Le cose che sono equivalenti secondo il principio di equivalenza
|
| 21 |
+
lo sono
|
| 22 |
+
- input_choice_list:
|
| 23 |
+
A: convertito in una frequenza diversa
|
| 24 |
+
B: deflessione
|
| 25 |
+
C: interferenza
|
| 26 |
+
D: polarizzazione
|
| 27 |
+
input_correct_responses:
|
| 28 |
+
- C
|
| 29 |
+
input_question: I colori in una bolla di sapone risultano dalla luce
|
| 30 |
+
- input_choice_list:
|
| 31 |
+
A: lo stesso
|
| 32 |
+
B: maggiore
|
| 33 |
+
C: meno
|
| 34 |
+
D: "maggiore o minore a seconda della velocit\xE0 del vento"
|
| 35 |
+
input_correct_responses:
|
| 36 |
+
- B
|
| 37 |
+
input_question: "Un modellino di aeroplano vola pi\xF9 lentamente quando vola\
|
| 38 |
+
\ controvento e pi\xF9 velocemente quando il vento \xE8 alle sue spalle. Quando\
|
| 39 |
+
\ lanciato ad angolo retto rispetto al vento, con vento trasversale la sua velocit\xE0\
|
| 40 |
+
\ al suolo \xE8 rispetto al volo in aria ferma"
|
| 41 |
+
- input_choice_list:
|
| 42 |
+
A: Idrogeno
|
| 43 |
+
B: Ferro
|
| 44 |
+
C: Uranio
|
| 45 |
+
D: Lo stesso in ciascuno
|
| 46 |
+
input_correct_responses:
|
| 47 |
+
- A
|
| 48 |
+
input_question: Quale di questi tre elementi ha la massa maggiore per nucleone?
|
| 49 |
+
include: _continuation_template_yaml
|
| 50 |
+
process_docs: !function utils.process_docs_conceptual_physics
|
| 51 |
+
tag: mmlu_it_llama_stem_tasks
|
| 52 |
+
task: mmlu_it_llama_conceptual_physics
|
| 53 |
+
task_alias: conceptual_physics
|
lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_econometrics.yaml
ADDED
|
@@ -0,0 +1,64 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
fewshot_config:
|
| 2 |
+
sampler: first_n
|
| 3 |
+
samples:
|
| 4 |
+
- input_choice_list:
|
| 5 |
+
A: Alla fine morirai
|
| 6 |
+
B: Perseverare indefinitamente
|
| 7 |
+
C: Crescere in modo esponenziale
|
| 8 |
+
D: Non verificarsi mai
|
| 9 |
+
input_correct_responses:
|
| 10 |
+
- A
|
| 11 |
+
input_question: Per un processo autoregressivo stazionario, gli shock lo faranno
|
| 12 |
+
- input_choice_list:
|
| 13 |
+
A: 0,2
|
| 14 |
+
B: '0.4'
|
| 15 |
+
C: 0,5
|
| 16 |
+
D: 0,33
|
| 17 |
+
input_correct_responses:
|
| 18 |
+
- D
|
| 19 |
+
input_question: "Consideriamo il seguente modello AR(1) con i disturbi aventi\
|
| 20 |
+
\ media nulla e varianza unitaria yt = 0,2 + 0,4 yt-1 + ut La media (incondizionata)\
|
| 21 |
+
\ di y sar\xE0 data da"
|
| 22 |
+
- input_choice_list:
|
| 23 |
+
A: Solo (ii) e (iv).
|
| 24 |
+
B: Solo (i) e (iii).
|
| 25 |
+
C: solo (i), (ii) e (iii).
|
| 26 |
+
D: (i), (ii), (iii) e (iv)
|
| 27 |
+
input_correct_responses:
|
| 28 |
+
- C
|
| 29 |
+
input_question: "Supponiamo che ad una statistica test sia associato un valore\
|
| 30 |
+
\ p pari a 0,08. Quale delle seguenti affermazioni \xE8 vera? (i) Se la dimensione\
|
| 31 |
+
\ del test fosse esattamente l\u20198%, saremmo indifferenti tra rifiutare e\
|
| 32 |
+
\ non rifiutare l\u2019ipotesi nulla (ii) Il valore nullo verrebbe rifiutato\
|
| 33 |
+
\ se venisse utilizzata una dimensione del test del 10% (iii) Il valore nullo\
|
| 34 |
+
\ non verrebbe rifiutato essere rifiutato se fosse utilizzata una dimensione\
|
| 35 |
+
\ del test dell'1%. (iv) Il valore nullo verrebbe rifiutato se fosse utilizzata\
|
| 36 |
+
\ una dimensione del test del 5%."
|
| 37 |
+
- input_choice_list:
|
| 38 |
+
A: "Sar\xE0 di parte"
|
| 39 |
+
B: "Sar\xE0 incoerente"
|
| 40 |
+
C: "Sar\xE0 inefficiente"
|
| 41 |
+
D: Tutti i punti (a), (b) e (c) saranno veri.
|
| 42 |
+
input_correct_responses:
|
| 43 |
+
- C
|
| 44 |
+
input_question: "Quali sarebbero allora le conseguenze per lo stimatore OLS se\
|
| 45 |
+
\ l\u2019eteroschedasticit\xE0 fosse presente in un modello di regressione ma\
|
| 46 |
+
\ venisse ignorata?"
|
| 47 |
+
- input_choice_list:
|
| 48 |
+
A: 1 ritardo
|
| 49 |
+
B: 2 ritardi
|
| 50 |
+
C: 3 ritardi
|
| 51 |
+
D: 4 ritardi
|
| 52 |
+
input_correct_responses:
|
| 53 |
+
- C
|
| 54 |
+
input_question: "Supponiamo ora che un ricercatore desideri utilizzare criteri\
|
| 55 |
+
\ informativi per determinare la lunghezza di ritardo ottimale per un VAR. Sono\
|
| 56 |
+
\ disponibili 500 osservazioni per il VAR bivariato e i valori del determinante\
|
| 57 |
+
\ della matrice di varianza-covarianza dei residui sono 0,0336, 0,0169, 0,0084\
|
| 58 |
+
\ e 0,0062 rispettivamente per 1, 2, 3 e 4 ritardi. Qual \xE8 l'ordine ottimale\
|
| 59 |
+
\ dei modelli secondo il criterio informativo di Akaike?"
|
| 60 |
+
include: _continuation_template_yaml
|
| 61 |
+
process_docs: !function utils.process_docs_econometrics
|
| 62 |
+
tag: mmlu_it_llama_social_sciences_tasks
|
| 63 |
+
task: mmlu_it_llama_econometrics
|
| 64 |
+
task_alias: econometrics
|
lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_elementary_mathematics.yaml
ADDED
|
@@ -0,0 +1,58 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
fewshot_config:
|
| 2 |
+
sampler: first_n
|
| 3 |
+
samples:
|
| 4 |
+
- input_choice_list:
|
| 5 |
+
A: 5 migliaia
|
| 6 |
+
B: 5 centinaia
|
| 7 |
+
C: 5 decine
|
| 8 |
+
D: 5 quelli
|
| 9 |
+
input_correct_responses:
|
| 10 |
+
- A
|
| 11 |
+
input_question: "La popolazione della citt\xE0 dove \xE8 nata Michelle \xE8 di\
|
| 12 |
+
\ 145.826 abitanti. Qual \xE8 il valore del 5 nel numero 145.826?"
|
| 13 |
+
- input_choice_list:
|
| 14 |
+
A: "Il decimo numero nello schema sar\xE0 un numero pari."
|
| 15 |
+
B: "Lo schema numerico non avr\xE0 mai due numeri pari uno accanto all'altro."
|
| 16 |
+
C: I prossimi due numeri nello schema saranno un numero pari e poi un numero
|
| 17 |
+
dispari.
|
| 18 |
+
D: Se lo schema numerico iniziasse con un numero dispari, allora lo schema conterrebbe
|
| 19 |
+
solo numeri dispari.
|
| 20 |
+
input_correct_responses:
|
| 21 |
+
- B
|
| 22 |
+
input_question: "Olivia ha utilizzato la regola "Aggiungi 11" per creare\
|
| 23 |
+
\ lo schema numerico mostrato di seguito. 10, 21, 32, 43, 54 Quale affermazione\
|
| 24 |
+
\ sullo schema numerico \xE8 vera?"
|
| 25 |
+
- input_choice_list:
|
| 26 |
+
A: Aggiungi 5 a 30 per trovare 35 squadre.
|
| 27 |
+
B: Dividi 30 per 5 per trovare 6 squadre.
|
| 28 |
+
C: Moltiplica 30 e 5 per trovare 150 squadre.
|
| 29 |
+
D: Sottrai 5 da 30 per trovare 25 squadre.
|
| 30 |
+
input_correct_responses:
|
| 31 |
+
- B
|
| 32 |
+
input_question: Un totale di 30 giocatori giocheranno a basket in un parco. Ci
|
| 33 |
+
saranno esattamente 5 giocatori in ogni squadra. Quale affermazione spiega correttamente
|
| 34 |
+
come trovare il numero di squadre necessarie?
|
| 35 |
+
- input_choice_list:
|
| 36 |
+
A: '749'
|
| 37 |
+
B: '2.675'
|
| 38 |
+
C: '2.945'
|
| 39 |
+
D: '4.250'
|
| 40 |
+
input_correct_responses:
|
| 41 |
+
- B
|
| 42 |
+
input_question: "Un negozio vende 107 colori diversi di vernice. Hanno 25 lattine\
|
| 43 |
+
\ di ogni colore in magazzino. Il numero di barattoli di vernice che il negozio\
|
| 44 |
+
\ ha in magazzino pu\xF2 essere trovato utilizzando l'espressione seguente.\
|
| 45 |
+
\ 107\xD725. Quanti barattoli di vernice ha in magazzino il negozio?"
|
| 46 |
+
- input_choice_list:
|
| 47 |
+
A: "(5\xD74)\xD7(6\xD75)"
|
| 48 |
+
B: "(5\xD75) + (5\xD74)"
|
| 49 |
+
C: "(5\xD75) + (5\xD79)"
|
| 50 |
+
D: "(5\xD79)\xD7(6\xD79)"
|
| 51 |
+
input_correct_responses:
|
| 52 |
+
- B
|
| 53 |
+
input_question: Quale espressione equivale a 5 x 9?
|
| 54 |
+
include: _continuation_template_yaml
|
| 55 |
+
process_docs: !function utils.process_docs_elementary_mathematics
|
| 56 |
+
tag: mmlu_it_llama_stem_tasks
|
| 57 |
+
task: mmlu_it_llama_elementary_mathematics
|
| 58 |
+
task_alias: elementary_mathematics
|
lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_formal_logic.yaml
ADDED
|
@@ -0,0 +1,63 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
fewshot_config:
|
| 2 |
+
sampler: first_n
|
| 3 |
+
samples:
|
| 4 |
+
- input_choice_list:
|
| 5 |
+
A: ~Pd
|
| 6 |
+
B: "(\u2200x)(Px \u2228 ~Dx)"
|
| 7 |
+
C: "(\u2200x)(Px \u2283 ~Dx)"
|
| 8 |
+
D: ~Dp
|
| 9 |
+
input_correct_responses:
|
| 10 |
+
- C
|
| 11 |
+
input_question: ' Seleziona la migliore traduzione nella logica dei predicati:
|
| 12 |
+
nessuna persona guida su Marte.'
|
| 13 |
+
- input_choice_list:
|
| 14 |
+
A: Blgh
|
| 15 |
+
B: Bhlg
|
| 16 |
+
C: Bglh
|
| 17 |
+
D: Bghl
|
| 18 |
+
input_correct_responses:
|
| 19 |
+
- C
|
| 20 |
+
input_question: 'Seleziona la migliore traduzione nella logica dei predicati.
|
| 21 |
+
George prende in prestito il tosaerba di Hector. (g: George; h: Hector; l: il
|
| 22 |
+
tosaerba di Hector; Bxyx: x prende in prestito y da z)'
|
| 23 |
+
- input_choice_list:
|
| 24 |
+
A: "Marina \xE8 una ballerina. Alcuni deboli non sono ballerini. O tutto \xE8\
|
| 25 |
+
\ debole o la Georgia gioca a pallavolo. Quindi qualcosa gioca a pallavolo."
|
| 26 |
+
B: "Marina \xE8 una ballerina. Nessun debole \xE8 un ballerino. Tutto o \xE8\
|
| 27 |
+
\ un debole o gioca a pallavolo. Quindi qualcosa gioca a pallavolo."
|
| 28 |
+
C: "Marina \xE8 una ballerina. Alcuni deboli non sono ballerini. Tutto o \xE8\
|
| 29 |
+
\ un debole o gioca a pallavolo. Quindi qualcosa gioca a pallavolo."
|
| 30 |
+
D: "Marina \xE8 una ballerina. Nessun debole \xE8 un ballerino. O tutto \xE8\
|
| 31 |
+
\ debole o la Georgia gioca a pallavolo. Quindi qualcosa gioca a pallavolo."
|
| 32 |
+
input_correct_responses:
|
| 33 |
+
- D
|
| 34 |
+
input_question: " Seleziona la migliore interpretazione inglese degli argomenti\
|
| 35 |
+
\ forniti nella logica dei predicati. Dm (\u2200x)(Wx \u2283 ~Dx) (\u2200x)Wx\
|
| 36 |
+
\ \u2228 Ag / (\u2203x)Ax"
|
| 37 |
+
- input_choice_list:
|
| 38 |
+
A: Logicamente equivalente
|
| 39 |
+
B: Contraddittorio
|
| 40 |
+
C: "N\xE9 logicamente equivalenti n\xE9 contraddittori, ma coerenti"
|
| 41 |
+
D: Incoerente
|
| 42 |
+
input_correct_responses:
|
| 43 |
+
- C
|
| 44 |
+
input_question: " Costruisci una tavola di verit\xE0 completa per le seguenti\
|
| 45 |
+
\ coppie di proposizioni. Quindi, utilizzando le tavole di verit\xE0, determina\
|
| 46 |
+
\ se le affermazioni sono logicamente equivalenti o contraddittorie. In caso\
|
| 47 |
+
\ contrario, determinare se sono coerenti o incoerenti. Motiva le tue risposte.\
|
| 48 |
+
\ E \u2283 (F \xB7 E) e ~E \xB7 F"
|
| 49 |
+
- input_choice_list:
|
| 50 |
+
A: "(L \u2022 H) \u2261 I"
|
| 51 |
+
B: "(L \u2022 H) \u2228 I"
|
| 52 |
+
C: "L \u2022 (H \u2228 I)"
|
| 53 |
+
D: "L \u2022 (H \u2283 R)"
|
| 54 |
+
input_correct_responses:
|
| 55 |
+
- B
|
| 56 |
+
input_question: " Quale delle formule fornite di PL \xE8 la migliore simbolizzazione\
|
| 57 |
+
\ della seguente frase? Le tartarughe vivono a lungo e sono creature felici,\
|
| 58 |
+
\ a meno che non vengano ferite."
|
| 59 |
+
include: _continuation_template_yaml
|
| 60 |
+
process_docs: !function utils.process_docs_formal_logic
|
| 61 |
+
tag: mmlu_it_llama_humanities_tasks
|
| 62 |
+
task: mmlu_it_llama_formal_logic
|
| 63 |
+
task_alias: formal_logic
|
lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_global_facts.yaml
ADDED
|
@@ -0,0 +1,57 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
fewshot_config:
|
| 2 |
+
sampler: first_n
|
| 3 |
+
samples:
|
| 4 |
+
- input_choice_list:
|
| 5 |
+
A: Le persone tendono ad essere ottimiste riguardo al proprio futuro e al futuro
|
| 6 |
+
della propria nazione o del mondo.
|
| 7 |
+
B: Le persone tendono ad essere ottimiste riguardo al proprio futuro ma pessimiste
|
| 8 |
+
riguardo al futuro della propria nazione o del mondo.
|
| 9 |
+
C: Le persone tendono ad essere pessimiste riguardo al proprio futuro ma ottimiste
|
| 10 |
+
riguardo al futuro della propria nazione o del mondo.
|
| 11 |
+
D: Le persone tendono ad essere pessimiste riguardo al proprio futuro e al futuro
|
| 12 |
+
della propria nazione o del mondo.
|
| 13 |
+
input_correct_responses:
|
| 14 |
+
- B
|
| 15 |
+
input_question: Quali delle seguenti coppie di affermazioni sono entrambe vere
|
| 16 |
+
(al 2019)?
|
| 17 |
+
- input_choice_list:
|
| 18 |
+
A: 31%
|
| 19 |
+
B: 46%
|
| 20 |
+
C: 61%
|
| 21 |
+
D: 76%
|
| 22 |
+
input_correct_responses:
|
| 23 |
+
- B
|
| 24 |
+
input_question: "Nel 2019, quale percentuale di americani concorda sul fatto che\
|
| 25 |
+
\ lo stato \xE8 gestito a beneficio di tutte le persone?"
|
| 26 |
+
- input_choice_list:
|
| 27 |
+
A: aumentato, aumentato
|
| 28 |
+
B: aumentato, diminuito
|
| 29 |
+
C: diminuito, aumentato
|
| 30 |
+
D: diminuito, diminuito
|
| 31 |
+
input_correct_responses:
|
| 32 |
+
- B
|
| 33 |
+
input_question: Nel 2015, dal 1990 le foreste hanno ____ in Europa e hanno ____
|
| 34 |
+
in Africa e nelle Americhe.
|
| 35 |
+
- input_choice_list:
|
| 36 |
+
A: 38%
|
| 37 |
+
B: 53%
|
| 38 |
+
C: 68%
|
| 39 |
+
D: 83%
|
| 40 |
+
input_correct_responses:
|
| 41 |
+
- A
|
| 42 |
+
input_question: "Nel 2019, quale percentuale di russi afferma che \xE8 molto importante\
|
| 43 |
+
\ avere media liberi nel nostro Paese senza censura governativa/statale?"
|
| 44 |
+
- input_choice_list:
|
| 45 |
+
A: 80%
|
| 46 |
+
B: 60%
|
| 47 |
+
C: 40%
|
| 48 |
+
D: 20%
|
| 49 |
+
input_correct_responses:
|
| 50 |
+
- A
|
| 51 |
+
input_question: Nel 2017, quanti bambini di 1 anno nel mondo sono stati oggi vaccinati
|
| 52 |
+
contro alcune malattie? *
|
| 53 |
+
include: _continuation_template_yaml
|
| 54 |
+
process_docs: !function utils.process_docs_global_facts
|
| 55 |
+
tag: mmlu_it_llama_other_tasks
|
| 56 |
+
task: mmlu_it_llama_global_facts
|
| 57 |
+
task_alias: global_facts
|
lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_high_school_chemistry.yaml
ADDED
|
@@ -0,0 +1,58 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
fewshot_config:
|
| 2 |
+
sampler: first_n
|
| 3 |
+
samples:
|
| 4 |
+
- input_choice_list:
|
| 5 |
+
A: HCl
|
| 6 |
+
B: H2SO3
|
| 7 |
+
C: SO2
|
| 8 |
+
D: Al(NO3)3
|
| 9 |
+
input_correct_responses:
|
| 10 |
+
- C
|
| 11 |
+
input_question: "Quale delle seguenti \xE8 considerata un'anidride acida?"
|
| 12 |
+
- input_choice_list:
|
| 13 |
+
A: PCl4F
|
| 14 |
+
B: BF3
|
| 15 |
+
C: CO2
|
| 16 |
+
D: Si(CH3)4
|
| 17 |
+
input_correct_responses:
|
| 18 |
+
- A
|
| 19 |
+
input_question: Quale delle seguenti dovrebbe essere una molecola polare?
|
| 20 |
+
- input_choice_list:
|
| 21 |
+
A: Tutti i cloruri, i bromuri e gli ioduri sono solubili
|
| 22 |
+
B: Tutti i solfati sono solubili
|
| 23 |
+
C: Tutti gli idrossidi sono solubili
|
| 24 |
+
D: Tutti i composti contenenti ammonio sono solubili
|
| 25 |
+
input_correct_responses:
|
| 26 |
+
- D
|
| 27 |
+
input_question: "Dalle regole di solubilit\xE0, quale delle seguenti affermazioni\
|
| 28 |
+
\ \xE8 vera?"
|
| 29 |
+
- input_choice_list:
|
| 30 |
+
A: 3,89
|
| 31 |
+
B: '7.78'
|
| 32 |
+
C: '5.78'
|
| 33 |
+
D: '2.33'
|
| 34 |
+
input_correct_responses:
|
| 35 |
+
- C
|
| 36 |
+
input_question: "Viene sintetizzato un nuovo composto e si scopre che \xE8 un\
|
| 37 |
+
\ acido monoprotico con una massa molare di 248 g/mol. Quando 0,0050 moli di\
|
| 38 |
+
\ questo acido vengono sciolte in 0,500 L di acqua, il pH viene misurato come\
|
| 39 |
+
\ 3,89. Qual \xE8 il pKa di questo acido?"
|
| 40 |
+
- input_choice_list:
|
| 41 |
+
A: 0,500 moli
|
| 42 |
+
B: 1,00 talpa
|
| 43 |
+
C: 2,00 talpe
|
| 44 |
+
D: 3,00 talpe
|
| 45 |
+
input_correct_responses:
|
| 46 |
+
- C
|
| 47 |
+
input_question: "Una soluzione contiene 2,00 moli di acido acetico, CH3COOH, e\
|
| 48 |
+
\ 1,00 moli di acetato di calcio, Ca(CH3COO)2. La soluzione \xE8 in grado di\
|
| 49 |
+
\ resistere all'aggiunta di una piccola quantit\xE0 di acido forte o base\
|
| 50 |
+
\ forte con solo lievi variazioni del pH della soluzione. Quantit\xE0 maggiori\
|
| 51 |
+
\ di acido forte o base forte possono causare un cambiamento significativo nel\
|
| 52 |
+
\ pH. Quante moli di acido nitrico, HNO3, possono essere aggiunte prima che\
|
| 53 |
+
\ il pH inizi a cambiare in modo significativo?"
|
| 54 |
+
include: _continuation_template_yaml
|
| 55 |
+
process_docs: !function utils.process_docs_high_school_chemistry
|
| 56 |
+
tag: mmlu_it_llama_stem_tasks
|
| 57 |
+
task: mmlu_it_llama_high_school_chemistry
|
| 58 |
+
task_alias: high_school_chemistry
|
lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_high_school_computer_science.yaml
ADDED
|
@@ -0,0 +1,83 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
fewshot_config:
|
| 2 |
+
sampler: first_n
|
| 3 |
+
samples:
|
| 4 |
+
- input_choice_list:
|
| 5 |
+
A: Un'auto avvisa il conducente che sta per colpire un oggetto.
|
| 6 |
+
B: Un escursionista utilizza un orologio GPS per tenere traccia della sua posizione.
|
| 7 |
+
C: "Un frigorifero ordina il latte da un servizio di consegna online quando\
|
| 8 |
+
\ il latte nel frigorifero \xE8 quasi finito."
|
| 9 |
+
D: Un corridore utilizza un orologio con sensori ottici per monitorare la sua
|
| 10 |
+
frequenza cardiaca.
|
| 11 |
+
input_correct_responses:
|
| 12 |
+
- C
|
| 13 |
+
input_question: "Quale dei seguenti \xE8 un esempio di utilizzo di un dispositivo\
|
| 14 |
+
\ nell'Internet delle cose (IoT)?"
|
| 15 |
+
- input_choice_list:
|
| 16 |
+
A: "Le attivit\xE0 di un utente che naviga in una finestra anonima non saranno\
|
| 17 |
+
\ visibili alle persone che monitorano la rete dell'utente, come l'amministratore\
|
| 18 |
+
\ di sistema."
|
| 19 |
+
B: Gli articoli inseriti nel carrello di un negozio Web per futuri acquisti
|
| 20 |
+
durante la sessione di navigazione anonima non verranno salvati sul computer
|
| 21 |
+
dell'utente.
|
| 22 |
+
C: "Un utente non sar\xE0 in grado di accedere agli account di posta elettronica\
|
| 23 |
+
\ o ai social media durante la sessione di navigazione anonima."
|
| 24 |
+
D: "Un utente che naviga in una finestra anonima sar\xE0 protetto dai virus\
|
| 25 |
+
\ lanciati da qualsiasi sito web visitato o file scaricati."
|
| 26 |
+
input_correct_responses:
|
| 27 |
+
- B
|
| 28 |
+
input_question: "Molti browser Web consentono agli utenti di aprire finestre anonime.\
|
| 29 |
+
\ Durante una sessione di navigazione in una finestra anonima, il browser non\
|
| 30 |
+
\ registra n\xE9 la cronologia di navigazione n\xE9 l'elenco dei file scaricati.\
|
| 31 |
+
\ Quando si esce dalla finestra anonima, i cookie creati durante la sessione\
|
| 32 |
+
\ vengono cancellati. Quale delle seguenti affermazioni relative alle sessioni\
|
| 33 |
+
\ di navigazione in una finestra anonima \xE8 vera?"
|
| 34 |
+
- input_choice_list:
|
| 35 |
+
A: Errore
|
| 36 |
+
B: abc
|
| 37 |
+
C: cba
|
| 38 |
+
D: C
|
| 39 |
+
input_correct_responses:
|
| 40 |
+
- C
|
| 41 |
+
input_question: "Qual \xE8 l'output di "abc"[::-1] in Python 3?"
|
| 42 |
+
- input_choice_list:
|
| 43 |
+
A: Foxtrot
|
| 44 |
+
B: Hotel
|
| 45 |
+
C: novembre
|
| 46 |
+
D: yankee
|
| 47 |
+
input_correct_responses:
|
| 48 |
+
- C
|
| 49 |
+
input_question: "Nel programma seguente, il valore iniziale di x \xE8 5 e il valore\
|
| 50 |
+
\ iniziale di y \xE8 10. IF (X < O) { DISPLAY ("Foxtrot") } ELSE\
|
| 51 |
+
\ { IF (X > y) { DISPLAY ("Hotel") } ELSE { IF (y > O) { DISPLAY\
|
| 52 |
+
\ ("Novembre") } ELSE { DISPLAY ("Yankee") } } } Cosa viene\
|
| 53 |
+
\ visualizzato come risultato dell'esecuzione del programma?"
|
| 54 |
+
- input_choice_list:
|
| 55 |
+
A: "Passaggio 3: aumentare il valore della posizione di 1. Passaggio 4: ripetere\
|
| 56 |
+
\ i passaggi 2 e 3 finch\xE9 il valore del conteggio non \xE8 maggiore di\
|
| 57 |
+
\ 100."
|
| 58 |
+
B: "Passaggio 3: aumentare il valore della posizione di 1. Passaggio 4: ripetere\
|
| 59 |
+
\ i passaggi 2 e 3 fino a quando il valore della posizione \xE8 maggiore di\
|
| 60 |
+
\ n."
|
| 61 |
+
C: "Passaggio 3: ripetere il passaggio 2 finch\xE9 il valore del conteggio non\
|
| 62 |
+
\ \xE8 maggiore di 100. Passaggio 4: aumentare il valore della posizione di\
|
| 63 |
+
\ 1."
|
| 64 |
+
D: "Passaggio 3: ripetere il passaggio 2 finch\xE9 il valore della posizione\
|
| 65 |
+
\ non \xE8 maggiore di n. Passaggio 4: aumentare il valore del conteggio di\
|
| 66 |
+
\ 1."
|
| 67 |
+
input_correct_responses:
|
| 68 |
+
- D
|
| 69 |
+
input_question: "Una lista di numeri ha n elementi, indicizzati da 1 a n. Il seguente\
|
| 70 |
+
\ algoritmo ha lo scopo di visualizzare il numero di elementi nell'elenco\
|
| 71 |
+
\ che hanno un valore maggiore di 100. L'algoritmo utilizza le variabili\
|
| 72 |
+
\ count e position. Mancano i passaggi 3 e 4. Passaggio 1: impostare il conteggio\
|
| 73 |
+
\ su 0 e la posizione su 1. Passaggio 2: se il valore dell'elemento nella\
|
| 74 |
+
\ posizione dell'indice \xE8 maggiore di 100, aumentare il valore del conteggio\
|
| 75 |
+
\ di 1. Passaggio 3: (passaggio mancante) Passaggio 4: (passaggio mancante )\
|
| 76 |
+
\ Passo 5: Visualizzare il valore del conteggio. Quale dei seguenti potrebbe\
|
| 77 |
+
\ essere utilizzato per sostituire i passaggi 3 e 4 in modo che l'algoritmo\
|
| 78 |
+
\ funzioni come previsto?"
|
| 79 |
+
include: _continuation_template_yaml
|
| 80 |
+
process_docs: !function utils.process_docs_high_school_computer_science
|
| 81 |
+
tag: mmlu_it_llama_stem_tasks
|
| 82 |
+
task: mmlu_it_llama_high_school_computer_science
|
| 83 |
+
task_alias: high_school_computer_science
|
lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_high_school_european_history.yaml
ADDED
|
@@ -0,0 +1,194 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
fewshot_config:
|
| 2 |
+
sampler: first_n
|
| 3 |
+
samples:
|
| 4 |
+
- input_choice_list:
|
| 5 |
+
A: Jean-Jacques Rousseau
|
| 6 |
+
B: Barone Montesquieu
|
| 7 |
+
C: Mary Wollstonecraft
|
| 8 |
+
D: Adam Smith
|
| 9 |
+
input_correct_responses:
|
| 10 |
+
- B
|
| 11 |
+
input_question: "Questa domanda si riferisce alle seguenti informazioni. Il seguente\
|
| 12 |
+
\ estratto \xE8 tratto da un opuscolo. Mi renderai giustizia ricordando che\
|
| 13 |
+
\ ho sempre strenuamente sostenuto il diritto di ogni uomo alla propria opinione,\
|
| 14 |
+
\ per quanto diversa possa essere dalla mia. Chi nega a un altro questo diritto,\
|
| 15 |
+
\ si rende schiavo della sua opinione presente, perch\xE9 si preclude il diritto\
|
| 16 |
+
\ di cambiarla. L'arma pi\xF9 formidabile contro gli errori di ogni genere\
|
| 17 |
+
\ \xE8 la Ragione. Non ne ho mai usato nessun altro e confido che non lo far\xF2\
|
| 18 |
+
\ mai. La circostanza che si \xE8 verificata ora in Francia, dell\u2019abolizione\
|
| 19 |
+
\ totale dell\u2019intero ordine nazionale del sacerdozio e di tutto ci\xF2\
|
| 20 |
+
\ che appartiene ai sistemi compulsivi di religione e agli articoli di fede\
|
| 21 |
+
\ compulsivi, non solo ha accelerato la mia intenzione, ma ha reso l\u2019opera\
|
| 22 |
+
\ di questo un genere estremamente necessario, affinch\xE9 nel generale naufragio\
|
| 23 |
+
\ della superstizione, dei falsi sistemi di governo e della falsa teologia,\
|
| 24 |
+
\ perdiamo di vista la moralit\xE0, l'umanit\xE0 e la teologia che \xE8\
|
| 25 |
+
\ vera. Credo in un solo Dio, e niente di pi\xF9; e spero nella felicit\xE0\
|
| 26 |
+
\ oltre questa vita. Credo nell'uguaglianza dell'uomo; e credo che i\
|
| 27 |
+
\ doveri religiosi consistano nel fare giustizia, amare la misericordia e sforzarsi\
|
| 28 |
+
\ di rendere felici i nostri simili. Non credo nel credo professato dalla chiesa\
|
| 29 |
+
\ ebraica, dalla chiesa romana, dalla chiesa greca, dalla chiesa turca, dalla\
|
| 30 |
+
\ chiesa protestante, n\xE9 da alcuna chiesa che io conosca. La mia mente \xE8\
|
| 31 |
+
\ la mia chiesa. Tutte le istituzioni nazionali delle chiese, siano esse ebraiche,\
|
| 32 |
+
\ cristiane o turche, non mi sembrano altro che invenzioni umane, istituite\
|
| 33 |
+
\ per terrorizzare e schiavizzare l\u2019umanit\xE0 e monopolizzare il potere\
|
| 34 |
+
\ e il profitto. Con questa dichiarazione non intendo condannare coloro che\
|
| 35 |
+
\ credono il contrario; hanno lo stesso diritto alla loro convinzione che io\
|
| 36 |
+
\ ho alla mia. \u2014Thomas Paine, The Age of Reason, 1794\u20131795 Quale dei\
|
| 37 |
+
\ seguenti filosofi illuministi progett\xF2 un sistema di controlli ed equilibri\
|
| 38 |
+
\ affinch\xE9 il governo evitasse abusi di potere?"
|
| 39 |
+
- input_choice_list:
|
| 40 |
+
A: "Le idee di libert\xE0 personale e nazionalismo concepite durante l\u2019\
|
| 41 |
+
Illuminismo portarono a rivoluzioni radicali che poterono diffondersi in tutta\
|
| 42 |
+
\ Europa."
|
| 43 |
+
B: "La conquista dell'Europa da parte di Napoleone port\xF2 alla creazione\
|
| 44 |
+
\ di nuove fazioni e spost\xF2 gli equilibri di potere europei."
|
| 45 |
+
C: Il potere dei monarchi era cresciuto al punto che doveva essere controllato
|
| 46 |
+
da altri poteri all'interno di ciascuna nazione o si sarebbe verificata
|
| 47 |
+
la dominazione dei civili.
|
| 48 |
+
D: Il ciclo economico in salita e in discesa della nuova economia capitalista
|
| 49 |
+
emergente potrebbe portare a disordini civili che devono essere repressi.
|
| 50 |
+
input_correct_responses:
|
| 51 |
+
- A
|
| 52 |
+
input_question: "Questa domanda si riferisce alle seguenti informazioni. Leggi\
|
| 53 |
+
\ il seguente estratto. Il seme rivoluzionario era penetrato in tutti i paesi\
|
| 54 |
+
\ e si era pi\xF9 o meno diffuso. Si svilupp\xF2 molto sotto il regime del dispotismo\
|
| 55 |
+
\ militare di Bonaparte. Le sue conquiste hanno spostato una serie di leggi,\
|
| 56 |
+
\ istituzioni e costumi; ruppe i legami sacri tra tutte le nazioni, abbastanza\
|
| 57 |
+
\ forti da resistere al tempo stesso; il che \xE8 pi\xF9 di quanto si possa\
|
| 58 |
+
\ dire di alcuni benefici conferiti da questi innovatori. I monarchi adempiranno\
|
| 59 |
+
\ i doveri imposti loro da Colui che, affidando loro il potere, li ha incaricati\
|
| 60 |
+
\ di vigilare sul mantenimento della giustizia e dei diritti di tutti, di evitare\
|
| 61 |
+
\ le vie dell'errore e di percorrere con fermezza la via dell'errore.\
|
| 62 |
+
\ verit\xE0. Posti al di l\xE0 delle passioni che agitano la societ\xE0, \xE8\
|
| 63 |
+
\ soprattutto nei giorni della prova che sono chiamati a spogliare la realt\xE0\
|
| 64 |
+
\ delle loro false apparenze, e a mostrarsi quali sono, padri investiti dell'autorit\xE0\
|
| 65 |
+
\ che spetta di diritto ai capi famiglia, per dimostrare che, nei giorni di\
|
| 66 |
+
\ lutto, sanno essere giusti, saggi e quindi forti, e che non abbandoneranno\
|
| 67 |
+
\ il popolo che dovrebbero governare come gioco delle fazioni, all\u2019errore\
|
| 68 |
+
\ e alle sue conseguenze, che devono implicano la perdita della societ\xE0.\
|
| 69 |
+
\ L'unione tra i monarchi \xE8 la base della politica che ora deve essere\
|
| 70 |
+
\ seguita per salvare la societ\xE0 dalla rovina totale. . . . Non confondano\
|
| 71 |
+
\ le concessioni fatte ai partiti con il bene che dovrebbero fare al popolo,\
|
| 72 |
+
\ modificando, secondo i bisogni riconosciuti, i rami dell'amministrazione\
|
| 73 |
+
\ che lo richiedono. Siano giusti, ma forti; benefico, ma severo. Mantengano\
|
| 74 |
+
\ i principi religiosi in tutta la loro purezza e non permettano che la fede\
|
| 75 |
+
\ venga attaccata e la moralit\xE0 interpretata secondo il contratto sociale\
|
| 76 |
+
\ o le visioni di sciocchi settari. Sopprimano le societ\xE0 segrete; quella\
|
| 77 |
+
\ cancrena della societ\xE0. \u2014Klemens von Metternich, Confessione politica\
|
| 78 |
+
\ di fede, 1820 Quale delle seguenti \xE8 stata la causa principale dei timori\
|
| 79 |
+
\ espressi da Metternich nel documento di cui sopra?"
|
| 80 |
+
- input_choice_list:
|
| 81 |
+
A: Capitalista
|
| 82 |
+
B: Scientifico
|
| 83 |
+
C: comunista
|
| 84 |
+
D: Esistenzialista
|
| 85 |
+
input_correct_responses:
|
| 86 |
+
- C
|
| 87 |
+
input_question: "Questa domanda si riferisce alle seguenti informazioni. In Russia\
|
| 88 |
+
\ non andava tutto bene e [Souvarine] era disperato per la notizia che aveva\
|
| 89 |
+
\ ricevuto. I suoi vecchi compagni si rivolgevano tutti ai politici; i famosi\
|
| 90 |
+
\ nichilisti che facevano tremare l\u2019Europa \u2013 figli di preti di villaggio,\
|
| 91 |
+
\ di piccoli borghesi, di commercianti \u2013 non potevano elevarsi al di sopra\
|
| 92 |
+
\ dell\u2019idea di liberazione nazionale, e sembravano credere che il mondo\
|
| 93 |
+
\ sarebbe stato liberato \u2013 dopo aver ucciso il loro despota\u2026 "Sciocchezze!\
|
| 94 |
+
\ Con le loro sciocchezze non ne usciranno mai." Poi, abbassando ancora\
|
| 95 |
+
\ di pi\xF9 la voce, con poche parole amare descrisse il suo vecchio sogno di\
|
| 96 |
+
\ fraternit\xE0. Aveva rinunciato al suo rango e alla sua fortuna; era andato\
|
| 97 |
+
\ tra gli operai, solo nella speranza di vedere finalmente la fondazione di\
|
| 98 |
+
\ una nuova societ\xE0 di lavoro in comune. Tutti i soldi che aveva in tasca\
|
| 99 |
+
\ erano andati da tempo ai monelli del villaggio; era stato tenero come un fratello\
|
| 100 |
+
\ con i minatori, sorridendo dei loro sospetti, conquistandoli con i suoi modi\
|
| 101 |
+
\ tranquilli da operaio e la sua avversione per le chiacchiere. Ma decisamente\
|
| 102 |
+
\ la fusione non era avvenuta. La sua voce cambi\xF2, i suoi occhi si illuminarono,\
|
| 103 |
+
\ li fiss\xF2 su \xC9tienne, rivolgendosi direttamente a lui: "Adesso capisci?\
|
| 104 |
+
\ Questi cappellai di Marsiglia che hanno vinto il grande premio di centomila\
|
| 105 |
+
\ franchi della lotteria, sono subito partiti e hanno investito voi, voi tutti,\
|
| 106 |
+
\ operai francesi, volete dissotterrare un tesoro per divorarlo poi da soli,\
|
| 107 |
+
\ in qualche angolo pigro ed egoista. per quanto tu voglia contro i ricchi,\
|
| 108 |
+
\ non hai abbastanza coraggio per restituire ai poveri il denaro che la fortuna\
|
| 109 |
+
\ ti porta. Non sarai mai degno di felicit\xE0 finch\xE9 possiedi qualcosa,\
|
| 110 |
+
\ e il tuo odio contro i borghesi procede unicamente per il desiderio rabbioso\
|
| 111 |
+
\ di essere voi stessi borghesi al loro posto." \xE9mile Zola, scrittore\
|
| 112 |
+
\ francese, Germinal, 1885 Il passaggio mostra la preoccupazione diretta per\
|
| 113 |
+
\ il benessere delle classi lavoratrici che tipicamente faceva parte di quale\
|
| 114 |
+
\ movimento?"
|
| 115 |
+
- input_choice_list:
|
| 116 |
+
A: Servirono da catalizzatore per la crescita della navigazione inglese e del
|
| 117 |
+
commercio estero, ma fecero ben poco per limitare le prospettive degli olandesi
|
| 118 |
+
nel XVII secolo.
|
| 119 |
+
B: "Causarono difficolt\xE0 quasi immediate per l\u2019economia olandese poich\xE9\
|
| 120 |
+
\ il loro dominio sul commercio estero fin\xEC rapidamente."
|
| 121 |
+
C: "Furono annullati durante la restaurazione degli Stuart poich\xE9 cercavano\
|
| 122 |
+
\ normali relazioni diplomatiche con gli olandesi in modo da non aver bisogno\
|
| 123 |
+
\ del sostegno finanziario del Parlamento per la guerra."
|
| 124 |
+
D: "Portarono a quasi un secolo di guerre ricorrenti tra Inghilterra e Paesi\
|
| 125 |
+
\ Bassi, che non sarebbero finite fino a dopo l\u2019indipendenza americana."
|
| 126 |
+
input_correct_responses:
|
| 127 |
+
- A
|
| 128 |
+
input_question: "Questa domanda si riferisce alle seguenti informazioni. Gli estratti\
|
| 129 |
+
\ seguenti provengono dagli Atti di navigazione del 1651. [Dopo il primo giorno\
|
| 130 |
+
\ di dicembre milleseicentocinquantuno, e da allora in poi, nessun bene o merce\
|
| 131 |
+
\ di sorta derivante dalla crescita, produzione o manifattura dell'Asia,\
|
| 132 |
+
\ dell'Africa o l'America, o qualsiasi parte di essa; o di qualsiasi\
|
| 133 |
+
\ isola ad essi appartenente, o che sono descritte o indicate nelle consuete\
|
| 134 |
+
\ mappe o carte di quei luoghi, cos\xEC come delle piantagioni inglesi come\
|
| 135 |
+
\ altre, saranno importate o portate in questo Commonwealth d'Inghilterra,\
|
| 136 |
+
\ o in Irlanda, o qualsiasi altra terra, isola, piantagione o territorio di\
|
| 137 |
+
\ questo Commonwealth appartenente, o in loro possesso, in qualsiasi altra nave\
|
| 138 |
+
\ o nave, vascello o vascello di sorta, ma solo in quelli che veramente e senza\
|
| 139 |
+
\ frode appartengono solo al popolo di questo Commonwealth , o le relative piantagioni,\
|
| 140 |
+
\ in qualit\xE0 di proprietari o titolari dei diritti; e di cui il capitano\
|
| 141 |
+
\ e i marinai appartengono anche al popolo di questo Commonwealth, sotto pena\
|
| 142 |
+
\ di confisca e perdita di tutti i beni che saranno importati contrariamente\
|
| 143 |
+
\ a questo atto, , , , [N] o beni o merci della crescita, la produzione, o la\
|
| 144 |
+
\ manifattura dell'Europa, o di qualsiasi parte di essa, dopo il primo giorno\
|
| 145 |
+
\ di dicembre milleseicentocinquantuno, sar\xE0 importata o portata in questo\
|
| 146 |
+
\ Commonwealth d'Inghilterra, o in qualsiasi altra terra o territorio appartenente\
|
| 147 |
+
\ a questo Commonwealth, o in loro possesso, in qualsiasi nave o navi, vascello\
|
| 148 |
+
\ o vascelli di qualsiasi genere, ma in quelli che appartengono veramente e\
|
| 149 |
+
\ senza frode solo al popolo di questo Commonwealth, e in nessun altro, eccetto\
|
| 150 |
+
\ solo le navi e i vascelli stranieri che appartengono veramente e appartengono\
|
| 151 |
+
\ propriamente al popolo di quel paese o luogo di cui detti beni sono la crescita,\
|
| 152 |
+
\ la produzione o la manifattura. Quale delle seguenti affermazioni descrive\
|
| 153 |
+
\ meglio l'esito dei Navigation Acts del 1651?"
|
| 154 |
+
- input_choice_list:
|
| 155 |
+
A: "dare al re inglese una nuova posizione di autorit\xE0"
|
| 156 |
+
B: dare la carica di capo della Chiesa d'Inghilterra al solo Enrico VIII
|
| 157 |
+
ed escludere i suoi eredi
|
| 158 |
+
C: "stabilire il calvinismo come l\u2019unica vera teologia in Inghilterra"
|
| 159 |
+
D: porre fine alle varie forme di corruzione che affliggono la Chiesa in Inghilterra
|
| 160 |
+
input_correct_responses:
|
| 161 |
+
- D
|
| 162 |
+
input_question: "Questa domanda si riferisce alle seguenti informazioni. Sebbene\
|
| 163 |
+
\ la Maest\xE0 del re sia giustamente e legittimamente il capo supremo della\
|
| 164 |
+
\ Chiesa d'Inghilterra, e cos\xEC sia riconosciuta dal clero di questo regno\
|
| 165 |
+
\ nelle loro convocazioni, tuttavia, per corroborazione e conferma di ci\xF2\
|
| 166 |
+
, e per aumento della virt\xF9 in religione di Cristo in questo regno d'Inghilterra,\
|
| 167 |
+
\ e per reprimere ed estirpare tutti gli errori, le eresie e le altre enormit\xE0\
|
| 168 |
+
\ e abusi finora utilizzati nella stessa, sia decretato, per autorit\xE0 di\
|
| 169 |
+
\ questo attuale Parlamento, che il re, il nostro signore sovrano, i suoi eredi\
|
| 170 |
+
\ e i successori, i re di questo regno, saranno presi, accettati e ritenuti\
|
| 171 |
+
\ l'unico capo supremo sulla terra della Chiesa d'Inghilterra, chiamata\
|
| 172 |
+
\ Ecclesia anglicana; e avranno e godranno, annessi e uniti alla corona imperiale\
|
| 173 |
+
\ di questo regno, nonch\xE9 il titolo e lo stile della stessa, come tutti gli\
|
| 174 |
+
\ onori, dignit\xE0, preminenze, giurisdizioni, privilegi, autorit\xE0, immunit\xE0\
|
| 175 |
+
, profitti e beni alla detta dignit\xE0 di il capo supremo della stessa Chiesa\
|
| 176 |
+
\ appartenente e appartenente; e che il nostro suddetto signore sovrano, i suoi\
|
| 177 |
+
\ eredi e successori, re di questo regno, avranno pieno potere e autorit\xE0\
|
| 178 |
+
\ di volta in volta per visitare, reprimere, riparare, registrare, ordinare,\
|
| 179 |
+
\ correggere, frenare ed emendare tutti questi errori, eresie, abusi, offese,\
|
| 180 |
+
\ disprezzi ed enormit\xE0, qualunque essi siano, che per qualsiasi tipo di\
|
| 181 |
+
\ autorit\xE0 o giurisdizione spirituale dovrebbero o potrebbero essere legittimamente\
|
| 182 |
+
\ riformati, repressi, ordinati, riparati, corretti, frenati o modificati, per\
|
| 183 |
+
\ il massimo piacere di Dio Onnipotente, l'aumento della virt\xF9 nella\
|
| 184 |
+
\ religione di Cristo e per la conservazione della pace, dell'unit\xE0 e\
|
| 185 |
+
\ della tranquillit\xE0 di questo regno; nonostante qualsiasi uso, terra straniera,\
|
| 186 |
+
\ autorit\xE0 straniera, prescrizione o qualsiasi altra cosa contraria al presente\
|
| 187 |
+
\ documento. Parlamento inglese, Atto di Supremazia, 1534 Dal passaggio si pu\xF2\
|
| 188 |
+
\ dedurre che il Parlamento inglese volesse sostenere che l'Atto di Supremazia\
|
| 189 |
+
\ avrebbe"
|
| 190 |
+
include: _continuation_template_yaml
|
| 191 |
+
process_docs: !function utils.process_docs_high_school_european_history
|
| 192 |
+
tag: mmlu_it_llama_humanities_tasks
|
| 193 |
+
task: mmlu_it_llama_high_school_european_history
|
| 194 |
+
task_alias: high_school_european_history
|
lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_high_school_geography.yaml
ADDED
|
@@ -0,0 +1,58 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
fewshot_config:
|
| 2 |
+
sampler: first_n
|
| 3 |
+
samples:
|
| 4 |
+
- input_choice_list:
|
| 5 |
+
A: "tasso di mortalit\xE0 grezzo dalla data di nascita grezza."
|
| 6 |
+
B: "tasso di natalit\xE0 grezzo dal tasso di mortalit\xE0 grezzo."
|
| 7 |
+
C: "raddoppiando il tempo rispetto al tasso di natalit\xE0 grezzo."
|
| 8 |
+
D: "tasso di fertilit\xE0 dal tasso grezzo di mortalit\xE0."
|
| 9 |
+
input_correct_responses:
|
| 10 |
+
- A
|
| 11 |
+
input_question: Il tasso di crescita naturale di una popolazione si trova sottraendo
|
| 12 |
+
il
|
| 13 |
+
- input_choice_list:
|
| 14 |
+
A: "I tassi di natalit\xE0 aumentano e il tasso di crescita della popolazione\
|
| 15 |
+
\ \xE8 meno rapido."
|
| 16 |
+
B: "I tassi di natalit\xE0 diminuiscono e il tasso di crescita della popolazione\
|
| 17 |
+
\ \xE8 meno rapido."
|
| 18 |
+
C: "I tassi di natalit\xE0 aumentano e il tasso di crescita della popolazione\
|
| 19 |
+
\ aumenta."
|
| 20 |
+
D: "I tassi di natalit\xE0 diminuiscono e il tasso di crescita della popolazione\
|
| 21 |
+
\ aumenta."
|
| 22 |
+
input_correct_responses:
|
| 23 |
+
- B
|
| 24 |
+
input_question: "Durante la terza fase del modello di transizione demografica,\
|
| 25 |
+
\ quale delle seguenti affermazioni \xE8 vera?"
|
| 26 |
+
- input_choice_list:
|
| 27 |
+
A: La duplicazione degli sforzi avviene spesso.
|
| 28 |
+
B: "I problemi sociali del centro citt\xE0 si riversano nei sobborghi residenziali\
|
| 29 |
+
\ circostanti."
|
| 30 |
+
C: Spesso si verificano inefficienze nella fornitura dei servizi.
|
| 31 |
+
D: "Gli sforzi di un quartiere per ridurre l'inquinamento sono sempre sostenuti\
|
| 32 |
+
\ dalle comunit\xE0 vicine."
|
| 33 |
+
input_correct_responses:
|
| 34 |
+
- D
|
| 35 |
+
input_question: "Quale delle seguenti affermazioni NON \xE8 accurata riguardo\
|
| 36 |
+
\ ai servizi forniti dai governi locali negli Stati Uniti?"
|
| 37 |
+
- input_choice_list:
|
| 38 |
+
A: esternalizzazione.
|
| 39 |
+
B: delocalizzazione.
|
| 40 |
+
C: maquiladoras.
|
| 41 |
+
D: interdipendenza localizzata.
|
| 42 |
+
input_correct_responses:
|
| 43 |
+
- B
|
| 44 |
+
input_question: Viene chiamata la pratica di assumere un fornitore di servizi
|
| 45 |
+
terzo straniero per eseguire un'operazione
|
| 46 |
+
- input_choice_list:
|
| 47 |
+
A: Saponetta colomba
|
| 48 |
+
B: Barretta di cioccolato colomba
|
| 49 |
+
C: Simbolo della colomba
|
| 50 |
+
D: Una colomba (uccello)
|
| 51 |
+
input_correct_responses:
|
| 52 |
+
- C
|
| 53 |
+
input_question: "Quale dei seguenti elementi \xE8 un esempio di cultura non materiale?"
|
| 54 |
+
include: _continuation_template_yaml
|
| 55 |
+
process_docs: !function utils.process_docs_high_school_geography
|
| 56 |
+
tag: mmlu_it_llama_social_sciences_tasks
|
| 57 |
+
task: mmlu_it_llama_high_school_geography
|
| 58 |
+
task_alias: high_school_geography
|
lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_high_school_government_and_politics.yaml
ADDED
|
@@ -0,0 +1,60 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
fewshot_config:
|
| 2 |
+
sampler: first_n
|
| 3 |
+
samples:
|
| 4 |
+
- input_choice_list:
|
| 5 |
+
A: "la definizione costituzionale di tali poteri \xE8 ampia e non specifica"
|
| 6 |
+
B: la maggior parte delle persone concorda sul fatto che la Costituzione pone
|
| 7 |
+
troppi limiti al potere presidenziale
|
| 8 |
+
C: la Corte Suprema rifiuta costantemente di pronunciarsi su casi riguardanti
|
| 9 |
+
i poteri presidenziali
|
| 10 |
+
D: gli emendamenti costituzionali hanno notevolmente aumentato i poteri presidenziali
|
| 11 |
+
input_correct_responses:
|
| 12 |
+
- A
|
| 13 |
+
input_question: "L\u2019incertezza sui limiti del potere presidenziale \xE8 causata\
|
| 14 |
+
\ principalmente da questo"
|
| 15 |
+
- input_choice_list:
|
| 16 |
+
A: aumento annuale della spesa federale per le forze armate
|
| 17 |
+
B: ammontare degli interessi sul debito pubblico
|
| 18 |
+
C: differenza tra le proposte di bilancio iniziali fatte dal presidente e dal
|
| 19 |
+
Congresso
|
| 20 |
+
D: importo che il governo spende in eccesso rispetto alle sue entrate
|
| 21 |
+
input_correct_responses:
|
| 22 |
+
- D
|
| 23 |
+
input_question: Il termine "deficit di bilancio" si riferisce al
|
| 24 |
+
- input_choice_list:
|
| 25 |
+
A: Weeks contro Stati Uniti
|
| 26 |
+
B: Betts contro Brady
|
| 27 |
+
C: Mapp contro Ohio
|
| 28 |
+
D: Miranda contro Arizona
|
| 29 |
+
input_correct_responses:
|
| 30 |
+
- D
|
| 31 |
+
input_question: Quale dei seguenti casi ha stabilito il precedente secondo cui
|
| 32 |
+
un imputato deve essere informato del diritto al silenzio, del diritto a un
|
| 33 |
+
avvocato e della protezione dall'autoincriminazione?
|
| 34 |
+
- input_choice_list:
|
| 35 |
+
A: Sono stabiliti dal potere legislativo.
|
| 36 |
+
B: I loro membri spesso non hanno molta influenza sulle decisioni presidenziali.
|
| 37 |
+
C: Non possono essere tutti gestiti da leader che appartengono allo stesso partito
|
| 38 |
+
politico del presidente.
|
| 39 |
+
D: Non tutte le agenzie federali sono un dipartimento di gabinetto.
|
| 40 |
+
input_correct_responses:
|
| 41 |
+
- C
|
| 42 |
+
input_question: "Quale delle seguenti affermazioni sui dipartimenti di gabinetto\
|
| 43 |
+
\ \xE8 FALSA?"
|
| 44 |
+
- input_choice_list:
|
| 45 |
+
A: I politici onesti possono impedire lo sviluppo di fazioni.
|
| 46 |
+
B: "\xC8 pi\xF9 probabile che le fazioni si formino nelle grandi repubbliche\
|
| 47 |
+
\ che in quelle piccole."
|
| 48 |
+
C: "Gli effetti negativi della faziosit\xE0 possono essere ridotti da un governo\
|
| 49 |
+
\ repubblicano."
|
| 50 |
+
D: "Le libere elezioni sono la migliore difesa del popolo contro le faziosit\xE0\
|
| 51 |
+
."
|
| 52 |
+
input_correct_responses:
|
| 53 |
+
- C
|
| 54 |
+
input_question: Quale delle seguenti affermazioni meglio afferma un'argomentazione
|
| 55 |
+
avanzata da James Madison in The Federalist numero 10?
|
| 56 |
+
include: _continuation_template_yaml
|
| 57 |
+
process_docs: !function utils.process_docs_high_school_government_and_politics
|
| 58 |
+
tag: mmlu_it_llama_social_sciences_tasks
|
| 59 |
+
task: mmlu_it_llama_high_school_government_and_politics
|
| 60 |
+
task_alias: high_school_government_and_politics
|
lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_high_school_macroeconomics.yaml
ADDED
|
@@ -0,0 +1,52 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
fewshot_config:
|
| 2 |
+
sampler: first_n
|
| 3 |
+
samples:
|
| 4 |
+
- input_choice_list:
|
| 5 |
+
A: L'esercito americano apre una nuova base in un paese straniero con 1.000
|
| 6 |
+
dipendenti statunitensi.
|
| 7 |
+
B: I consumatori giapponesi acquistano migliaia di CD prodotti negli Stati Uniti.
|
| 8 |
+
C: Una cantante pop americana si esibisce in un concerto tutto esaurito a Parigi.
|
| 9 |
+
D: "Una produzione teatrale francese gira decine di citt\xE0 americane."
|
| 10 |
+
input_correct_responses:
|
| 11 |
+
- C
|
| 12 |
+
input_question: "Quale dei seguenti elementi non \xE8 incluso nel PIL degli Stati\
|
| 13 |
+
\ Uniti?"
|
| 14 |
+
- input_choice_list:
|
| 15 |
+
A: relazione diretta tra disoccupazione e inflazione
|
| 16 |
+
B: "relazione diretta tra prezzo e quantit\xE0 domandata"
|
| 17 |
+
C: "relazione inversa tra prezzo e quantit\xE0 domandata"
|
| 18 |
+
D: relazione inversa tra disoccupazione e inflazione
|
| 19 |
+
input_correct_responses:
|
| 20 |
+
- D
|
| 21 |
+
input_question: La curva di Phillips di breve periodo indica a
|
| 22 |
+
- input_choice_list:
|
| 23 |
+
A: le esportazioni superano le importazioni.
|
| 24 |
+
B: le importazioni superano le esportazioni.
|
| 25 |
+
C: la riscossione delle tasse federali supera la spesa.
|
| 26 |
+
D: la spesa federale supera le entrate fiscali federali.
|
| 27 |
+
input_correct_responses:
|
| 28 |
+
- D
|
| 29 |
+
input_question: Un deficit federale si verifica quando
|
| 30 |
+
- input_choice_list:
|
| 31 |
+
A: Aumento del tasso di sconto
|
| 32 |
+
B: Aumentare il coefficiente di riserva
|
| 33 |
+
C: Acquistare titoli di Stato
|
| 34 |
+
D: Abbassamento delle tariffe
|
| 35 |
+
input_correct_responses:
|
| 36 |
+
- C
|
| 37 |
+
input_question: "A parit\xE0 di condizioni, quale delle seguenti politiche monetarie\
|
| 38 |
+
\ verrebbe utilizzata per stimolare le esportazioni statunitensi?"
|
| 39 |
+
- input_choice_list:
|
| 40 |
+
A: "Un aumento dell\u2019offerta di moneta"
|
| 41 |
+
B: Aumento della spesa pubblica
|
| 42 |
+
C: "Tasse pi\xF9 basse su ricerca e sviluppo di nuove tecnologie"
|
| 43 |
+
D: "Tasse pi\xF9 alte sul reddito delle famiglie"
|
| 44 |
+
input_correct_responses:
|
| 45 |
+
- C
|
| 46 |
+
input_question: "Quale delle seguenti politiche descrive meglio la politica fiscale\
|
| 47 |
+
\ dal lato dell\u2019offerta?"
|
| 48 |
+
include: _continuation_template_yaml
|
| 49 |
+
process_docs: !function utils.process_docs_high_school_macroeconomics
|
| 50 |
+
tag: mmlu_it_llama_social_sciences_tasks
|
| 51 |
+
task: mmlu_it_llama_high_school_macroeconomics
|
| 52 |
+
task_alias: high_school_macroeconomics
|
lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_high_school_mathematics.yaml
ADDED
|
@@ -0,0 +1,61 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
fewshot_config:
|
| 2 |
+
sampler: first_n
|
| 3 |
+
samples:
|
| 4 |
+
- input_choice_list:
|
| 5 |
+
A: '3'
|
| 6 |
+
B: '15'
|
| 7 |
+
C: '6'
|
| 8 |
+
D: '5'
|
| 9 |
+
input_correct_responses:
|
| 10 |
+
- B
|
| 11 |
+
input_question: Joe era incaricato delle luci per un ballo. La luce rossa lampeggia
|
| 12 |
+
ogni due secondi, la luce gialla ogni tre secondi e la luce blu ogni cinque
|
| 13 |
+
secondi. Se includiamo l'inizio e la fine della danza, quante volte durante
|
| 14 |
+
una danza di sette minuti si accenderanno tutte le luci contemporaneamente?
|
| 15 |
+
(Supponiamo che tutte e tre le luci lampeggino simultaneamente all'inizio
|
| 16 |
+
della danza.)
|
| 17 |
+
- input_choice_list:
|
| 18 |
+
A: '12'
|
| 19 |
+
B: '1'
|
| 20 |
+
C: '30'
|
| 21 |
+
D: '5'
|
| 22 |
+
input_correct_responses:
|
| 23 |
+
- C
|
| 24 |
+
input_question: Cinquemila dollari composti ogni anno a un tasso di interesse
|
| 25 |
+
$x\%$ impiegano sei anni per raddoppiare. Allo stesso tasso di interesse, quanti
|
| 26 |
+
anni occorreranno $\$300$ per crescere fino a $\$9600$?
|
| 27 |
+
- input_choice_list:
|
| 28 |
+
A: '-1'
|
| 29 |
+
B: '16'
|
| 30 |
+
C: -\frac{1}{256}
|
| 31 |
+
D: \frac{1}{16}
|
| 32 |
+
input_correct_responses:
|
| 33 |
+
- C
|
| 34 |
+
input_question: "La variabile $x$ varia direttamente come il quadrato di $y$,\
|
| 35 |
+
\ e $y$ varia direttamente come il cubo di $z$. Se $x$ \xE8 uguale a $-16$ quando\
|
| 36 |
+
\ $z$ \xE8 uguale a 2, qual \xE8 il valore di $x$ quando $z$ \xE8 uguale a $\\\
|
| 37 |
+
frac{1}{2}$?"
|
| 38 |
+
- input_choice_list:
|
| 39 |
+
A: \frac{3\sqrt{3}}{3}
|
| 40 |
+
B: \frac{1}{3}
|
| 41 |
+
C: \qrt{3}
|
| 42 |
+
D: \frac{\sqrt{3}}{3}
|
| 43 |
+
input_correct_responses:
|
| 44 |
+
- D
|
| 45 |
+
input_question: 'Semplifica e scrivi il risultato con un denominatore razionale:
|
| 46 |
+
$$\sqrt{\sqrt[3]{\sqrt{\frac{1}{729}}}}$$'
|
| 47 |
+
- input_choice_list:
|
| 48 |
+
A: '55'
|
| 49 |
+
B: '60'
|
| 50 |
+
C: '62'
|
| 51 |
+
D: '65'
|
| 52 |
+
input_correct_responses:
|
| 53 |
+
- D
|
| 54 |
+
input_question: "Dieci studenti sostengono un test di biologia e ricevono i seguenti\
|
| 55 |
+
\ punteggi: 45, 55, 50, 70, 65, 80, 40, 90, 70, 85. Qual \xE8 la media dei punteggi\
|
| 56 |
+
\ dei test degli studenti?"
|
| 57 |
+
include: _continuation_template_yaml
|
| 58 |
+
process_docs: !function utils.process_docs_high_school_mathematics
|
| 59 |
+
tag: mmlu_it_llama_stem_tasks
|
| 60 |
+
task: mmlu_it_llama_high_school_mathematics
|
| 61 |
+
task_alias: high_school_mathematics
|
lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_high_school_microeconomics.yaml
ADDED
|
@@ -0,0 +1,54 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
fewshot_config:
|
| 2 |
+
sampler: first_n
|
| 3 |
+
samples:
|
| 4 |
+
- input_choice_list:
|
| 5 |
+
A: Un salario minimo effettivo imposto a questo mercato del lavoro.
|
| 6 |
+
B: Un aumento del prezzo dei litri di vernice.
|
| 7 |
+
C: Un aumento nella costruzione di nuove case.
|
| 8 |
+
D: "Un aumento del prezzo dei verniciatori meccanici finch\xE9 l\u2019effetto\
|
| 9 |
+
\ produzione supera l\u2019effetto sostituzione."
|
| 10 |
+
input_correct_responses:
|
| 11 |
+
- C
|
| 12 |
+
input_question: In un mercato del lavoro competitivo per gli imbianchini, quale
|
| 13 |
+
dei seguenti fattori aumenterebbe la domanda di imbianchini?
|
| 14 |
+
- input_choice_list:
|
| 15 |
+
A: "la domanda del prodotto aumenter\xE0"
|
| 16 |
+
B: "la domanda del prodotto diminuir\xE0"
|
| 17 |
+
C: "il surplus del consumatore aumenter\xE0"
|
| 18 |
+
D: "il surplus del consumatore diminuir\xE0"
|
| 19 |
+
input_correct_responses:
|
| 20 |
+
- C
|
| 21 |
+
input_question: Se il governo sovvenziona i produttori in un mercato perfettamente
|
| 22 |
+
competitivo, allora
|
| 23 |
+
- input_choice_list:
|
| 24 |
+
A: '0'
|
| 25 |
+
B: '5'
|
| 26 |
+
C: '10'
|
| 27 |
+
D: '100'
|
| 28 |
+
input_correct_responses:
|
| 29 |
+
- D
|
| 30 |
+
input_question: "Il rapporto di concentrazione per un monopolio \xE8"
|
| 31 |
+
- input_choice_list:
|
| 32 |
+
A: Il prezzo minimo sposta la curva di domanda verso sinistra.
|
| 33 |
+
B: Un pavimento efficace crea una carenza di bene.
|
| 34 |
+
C: Il prezzo minimo sposta la curva di offerta del bene verso destra.
|
| 35 |
+
D: Per essere un livello efficace, deve essere fissato al di sopra del prezzo
|
| 36 |
+
di equilibrio.
|
| 37 |
+
input_correct_responses:
|
| 38 |
+
- D
|
| 39 |
+
input_question: "Quale delle seguenti affermazioni \xE8 vera riguardo al prezzo\
|
| 40 |
+
\ minimo?"
|
| 41 |
+
- input_choice_list:
|
| 42 |
+
A: Libera entrata e uscita dal mercato
|
| 43 |
+
B: Pochi grandi produttori
|
| 44 |
+
C: Un produttore di un bene senza sostituti prossimi
|
| 45 |
+
D: Un prodotto omogeneo
|
| 46 |
+
input_correct_responses:
|
| 47 |
+
- B
|
| 48 |
+
input_question: "Quale delle seguenti \xE8 necessariamente una caratteristica\
|
| 49 |
+
\ dell'oligopolio?"
|
| 50 |
+
include: _continuation_template_yaml
|
| 51 |
+
process_docs: !function utils.process_docs_high_school_microeconomics
|
| 52 |
+
tag: mmlu_it_llama_social_sciences_tasks
|
| 53 |
+
task: mmlu_it_llama_high_school_microeconomics
|
| 54 |
+
task_alias: high_school_microeconomics
|
lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_high_school_physics.yaml
ADDED
|
@@ -0,0 +1,62 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
fewshot_config:
|
| 2 |
+
sampler: first_n
|
| 3 |
+
samples:
|
| 4 |
+
- input_choice_list:
|
| 5 |
+
A: Solo I e II
|
| 6 |
+
B: Solo I e III
|
| 7 |
+
C: Solo II e III
|
| 8 |
+
D: Solo III
|
| 9 |
+
input_correct_responses:
|
| 10 |
+
- D
|
| 11 |
+
input_question: "Quale delle seguenti condizioni garantisce la conservazione del\
|
| 12 |
+
\ momento angolare? I. Conservazione della quantit\xE0 di moto lineare II. Forza\
|
| 13 |
+
\ esterna netta nulla III. Coppia esterna netta nulla"
|
| 14 |
+
- input_choice_list:
|
| 15 |
+
A: "La pressione \xE8 in un nodo, ma lo spostamento delle particelle \xE8 in\
|
| 16 |
+
\ un antinodo."
|
| 17 |
+
B: "La pressione \xE8 all'antinodo, ma lo spostamento delle particelle \xE8\
|
| 18 |
+
\ al nodo."
|
| 19 |
+
C: La pressione e lo spostamento delle particelle sono entrambi ai nodi.
|
| 20 |
+
D: La pressione e lo spostamento delle particelle sono entrambi agli antinodi.
|
| 21 |
+
input_correct_responses:
|
| 22 |
+
- B
|
| 23 |
+
input_question: "Un tubo pieno d'aria \xE8 chiuso ad un'estremit\xE0.\
|
| 24 |
+
\ Nel tubo viene prodotta un'onda stazionaria, che fa suonare una nota.\
|
| 25 |
+
\ Quale delle seguenti \xE8 un'affermazione corretta sulle propriet\xE0\
|
| 26 |
+
\ dell'onda all'estremit\xE0 chiusa del tubo?"
|
| 27 |
+
- input_choice_list:
|
| 28 |
+
A: 02:00
|
| 29 |
+
B: 6:00 DI MATTINA
|
| 30 |
+
C: 00:00
|
| 31 |
+
D: 24A
|
| 32 |
+
input_correct_responses:
|
| 33 |
+
- D
|
| 34 |
+
input_question: "Una fotocellula con funzione di lavoro \u03D5 = 2eV \xE8 collegata\
|
| 35 |
+
\ ad un resistore in serie. La luce di frequenza f = 1 \xD7 10^15 Hz colpisce\
|
| 36 |
+
\ una piastra metallica della fotocellula. Se la potenza della luce \xE8 P =\
|
| 37 |
+
\ 100 W, qual \xE8 la corrente che attraversa il resistore?"
|
| 38 |
+
- input_choice_list:
|
| 39 |
+
A: 10 W
|
| 40 |
+
B: 30 W
|
| 41 |
+
C: 60 W
|
| 42 |
+
D: 240 W
|
| 43 |
+
input_correct_responses:
|
| 44 |
+
- D
|
| 45 |
+
input_question: "Un forno a microonde \xE8 collegato a una presa da 120 V e assorbe\
|
| 46 |
+
\ una corrente di 2 A. A quale velocit\xE0 viene utilizzata l'energia del\
|
| 47 |
+
\ forno a microonde?"
|
| 48 |
+
- input_choice_list:
|
| 49 |
+
A: 3,5 J
|
| 50 |
+
B: 6,0 J
|
| 51 |
+
C: 22,5 J
|
| 52 |
+
D: 40 J
|
| 53 |
+
input_correct_responses:
|
| 54 |
+
- B
|
| 55 |
+
input_question: "Una carica puntiforme, Q = +1 mC, \xE8 fissata all'origine.\
|
| 56 |
+
\ Quanto lavoro \xE8 necessario per spostare una carica, Q = +8 \xB5C, dal punto\
|
| 57 |
+
\ (0,4 metri) al punto (3 metri, 0)?"
|
| 58 |
+
include: _continuation_template_yaml
|
| 59 |
+
process_docs: !function utils.process_docs_high_school_physics
|
| 60 |
+
tag: mmlu_it_llama_stem_tasks
|
| 61 |
+
task: mmlu_it_llama_high_school_physics
|
| 62 |
+
task_alias: high_school_physics
|
lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_high_school_psychology.yaml
ADDED
|
@@ -0,0 +1,63 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
fewshot_config:
|
| 2 |
+
sampler: first_n
|
| 3 |
+
samples:
|
| 4 |
+
- input_choice_list:
|
| 5 |
+
A: un forte Super-Io.
|
| 6 |
+
B: bassa autostima.
|
| 7 |
+
C: bassa autoefficacia.
|
| 8 |
+
D: un locus of control interno.
|
| 9 |
+
input_correct_responses:
|
| 10 |
+
- D
|
| 11 |
+
input_question: "Ani crede che i suoi atteggiamenti e comportamenti giochino un\
|
| 12 |
+
\ ruolo centrale in ci\xF2 che le accade. \xC8 probabile che tale convinzione\
|
| 13 |
+
\ sia associata a"
|
| 14 |
+
- input_choice_list:
|
| 15 |
+
A: identificare le cause e le soluzioni dei problemi presentati dal cliente
|
| 16 |
+
B: "identificare ed eliminare le cause delle difficolt\xE0 del consultato nella\
|
| 17 |
+
\ gestione di un problema"
|
| 18 |
+
C: "stabilire una gerarchia di autorit\xE0 per consentire un processo decisionale\
|
| 19 |
+
\ efficace"
|
| 20 |
+
D: "presentare una linea d'azione unica, ben definita e inequivocabile affinch\xE9\
|
| 21 |
+
\ il consulente possa superare i deficit di competenze"
|
| 22 |
+
input_correct_responses:
|
| 23 |
+
- B
|
| 24 |
+
input_question: "Secondo il modello di Caplan della consultazione del caso centrata\
|
| 25 |
+
\ sul consultato, il consulente \xE8 principalmente interessato a"
|
| 26 |
+
- input_choice_list:
|
| 27 |
+
A: I messaggi vengono inviati dal talamo direttamente all'amigdala.
|
| 28 |
+
B: I messaggi vengono inviati dal talamo ai percorsi "cosa" e "dove".
|
| 29 |
+
C: I messaggi vengono inviati dal sistema nervoso parasimpatico alla corteccia
|
| 30 |
+
cerebrale.
|
| 31 |
+
D: I messaggi vengono inviati dai lobi frontali alla ghiandola pituitaria.
|
| 32 |
+
input_correct_responses:
|
| 33 |
+
- A
|
| 34 |
+
input_question: "Mentre nuota nell'oceano, Ivan viene spaventato da un'ombra\
|
| 35 |
+
\ scura nell'acqua ancor prima che abbia la possibilit\xE0 di identificare\
|
| 36 |
+
\ di cosa si tratta. Le connessioni sinaptiche che hanno luogo durante questo\
|
| 37 |
+
\ episodio di paura sono meglio descritte da quale dei seguenti?"
|
| 38 |
+
- input_choice_list:
|
| 39 |
+
A: Date al bambino un periodo di prova nel nuovo ambiente
|
| 40 |
+
B: Avvisare per iscritto i genitori
|
| 41 |
+
C: Ottieni l'approvazione del consiglio scolastico
|
| 42 |
+
D: Ottieni il consenso dei genitori
|
| 43 |
+
input_correct_responses:
|
| 44 |
+
- B
|
| 45 |
+
input_question: "Secondo l\u2019Individuals with Disabilities Education Improvement\
|
| 46 |
+
\ Act, quale delle seguenti azioni deve fare un\u2019agenzia educativa prima\
|
| 47 |
+
\ di modificare l\u2019inserimento scolastico di uno studente con disabilit\xE0\
|
| 48 |
+
?"
|
| 49 |
+
- input_choice_list:
|
| 50 |
+
A: Socioculturale
|
| 51 |
+
B: clinico
|
| 52 |
+
C: cognitivo
|
| 53 |
+
D: comportamentista
|
| 54 |
+
input_correct_responses:
|
| 55 |
+
- C
|
| 56 |
+
input_question: "Pascale \xE8 interessata alle strategie di elaborazione che i\
|
| 57 |
+
\ bambini utilizzano per apprendere nuove informazioni. In che tipo di psicologo\
|
| 58 |
+
\ sarebbe meglio classificare Pascale?"
|
| 59 |
+
include: _continuation_template_yaml
|
| 60 |
+
process_docs: !function utils.process_docs_high_school_psychology
|
| 61 |
+
tag: mmlu_it_llama_social_sciences_tasks
|
| 62 |
+
task: mmlu_it_llama_high_school_psychology
|
| 63 |
+
task_alias: high_school_psychology
|
lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_high_school_statistics.yaml
ADDED
|
@@ -0,0 +1,72 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
fewshot_config:
|
| 2 |
+
sampler: first_n
|
| 3 |
+
samples:
|
| 4 |
+
- input_choice_list:
|
| 5 |
+
A: "Se la pendenza della retta di regressione \xE8 esattamente 1, allora la\
|
| 6 |
+
\ correlazione \xE8 esattamente 1."
|
| 7 |
+
B: "Se la correlazione \xE8 0, la pendenza della retta di regressione non \xE8\
|
| 8 |
+
\ definita."
|
| 9 |
+
C: Invertendo quale variabile si chiama x e quale si chiama y si cambia il segno
|
| 10 |
+
della correlazione.
|
| 11 |
+
D: "La correlazione r \xE8 uguale alla pendenza della linea di regressione quando\
|
| 12 |
+
\ i punteggi z per la variabile y vengono tracciati rispetto ai punteggi z\
|
| 13 |
+
\ per la variabile x."
|
| 14 |
+
input_correct_responses:
|
| 15 |
+
- D
|
| 16 |
+
input_question: "Quale delle seguenti \xE8 un'affermazione corretta sulla\
|
| 17 |
+
\ correlazione?"
|
| 18 |
+
- input_choice_list:
|
| 19 |
+
A: E(X + Y) = 99, var(X + Y) = 8,5
|
| 20 |
+
B: E(X + Y) = 99, var(X + Y) = 13
|
| 21 |
+
C: E(X + Y) = 99, var(X + Y) = 17
|
| 22 |
+
D: Non ci sono informazioni sufficienti per rispondere a questa domanda.
|
| 23 |
+
input_correct_responses:
|
| 24 |
+
- D
|
| 25 |
+
input_question: "Supponiamo che X e Y siano variabili casuali con E(X) = 37, var(X)\
|
| 26 |
+
\ = 5, E(Y) = 62 e var(Y) = 12. Quali sono il valore atteso e la varianza della\
|
| 27 |
+
\ variabile casuale X + S\xEC?"
|
| 28 |
+
- input_choice_list:
|
| 29 |
+
A: "La percentuale di alberi che hanno subito pi\xF9 del 50% di danni a causa\
|
| 30 |
+
\ del gelo."
|
| 31 |
+
B: Il numero di alberi colpiti dal gelo.
|
| 32 |
+
C: Il numero di alberi campionati dal boschetto.
|
| 33 |
+
D: "Per ogni albero campionato, se ha subito pi\xF9 del 50% di danni o al massimo\
|
| 34 |
+
\ il 50% di danni."
|
| 35 |
+
input_correct_responses:
|
| 36 |
+
- D
|
| 37 |
+
input_question: "Dopo l'allarme gelo, il proprietario di un grande aranceto\
|
| 38 |
+
\ ha chiesto ai suoi lavoratori di spruzzare acqua su tutti i suoi alberi. Si\
|
| 39 |
+
\ supponeva che l'acqua si congelasse e formasse uno strato protettivo di\
|
| 40 |
+
\ ghiaccio attorno ai fiori d'arancio. Tuttavia il proprietario sospettava\
|
| 41 |
+
\ che alcuni alberi avessero subito notevoli danni a causa del gelo. Per stimare\
|
| 42 |
+
\ la percentuale di alberi che hanno subito pi\xF9 del 50% di danni a causa\
|
| 43 |
+
\ del gelo, ha prelevato un campione casuale di 100 alberi dal suo boschetto.\
|
| 44 |
+
\ Qual \xE8 la variabile di risposta in questo esperimento?"
|
| 45 |
+
- input_choice_list:
|
| 46 |
+
A: Media 518 grammi; deviazione standard 7,0 grammi
|
| 47 |
+
B: Media 518 grammi; deviazione standard 3,5 grammi
|
| 48 |
+
C: Media 518 grammi; deviazione standard 6,1 grammi
|
| 49 |
+
D: Media 394 grammi; deviazione standard 6,1 grammi
|
| 50 |
+
input_correct_responses:
|
| 51 |
+
- C
|
| 52 |
+
input_question: 'Un nuovo smartwatch viene prodotto in una parte della fabbrica,
|
| 53 |
+
quindi assicurato per la spedizione in un'altra parte indipendente della
|
| 54 |
+
fabbrica. Il peso dello smartwatch ha una media di 62 grammi e una deviazione
|
| 55 |
+
standard di 1,0 grammi. Il peso dell'imballaggio (scatola, manuale d'uso,
|
| 56 |
+
pluriball, ecc.) ha una media di 456 grammi e una deviazione standard di 6 grammi.
|
| 57 |
+
Insieme, la distribuzione del peso dello smartwatch e della sua confezione avrebbe
|
| 58 |
+
la seguente media e deviazione standard:'
|
| 59 |
+
- input_choice_list:
|
| 60 |
+
A: Io, II
|
| 61 |
+
B: II, III
|
| 62 |
+
C: III, I
|
| 63 |
+
D: III, II
|
| 64 |
+
input_correct_responses:
|
| 65 |
+
- D
|
| 66 |
+
input_question: "Quale dei seguenti insiemi ha la deviazione standard pi\xF9 piccola?\
|
| 67 |
+
\ Quale ha il pi\xF9 grande? I: {1,2,3} II: {-10,10} III: {100}\\n"
|
| 68 |
+
include: _continuation_template_yaml
|
| 69 |
+
process_docs: !function utils.process_docs_high_school_statistics
|
| 70 |
+
tag: mmlu_it_llama_stem_tasks
|
| 71 |
+
task: mmlu_it_llama_high_school_statistics
|
| 72 |
+
task_alias: high_school_statistics
|
lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_high_school_us_history.yaml
ADDED
|
@@ -0,0 +1,163 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
fewshot_config:
|
| 2 |
+
sampler: first_n
|
| 3 |
+
samples:
|
| 4 |
+
- input_choice_list:
|
| 5 |
+
A: Risposta organizzata alla ribellione di Bacon
|
| 6 |
+
B: Risposta federale alla ribellione di Shays
|
| 7 |
+
C: Risposta federale alla ribellione del whisky
|
| 8 |
+
D: Risposta federale alla ribellione di Pontiac
|
| 9 |
+
input_correct_responses:
|
| 10 |
+
- C
|
| 11 |
+
input_question: "Questa domanda si riferisce alle seguenti informazioni. "La\
|
| 12 |
+
\ societ\xE0 in ogni stato \xE8 una benedizione, ma il governo, anche nel suo\
|
| 13 |
+
\ stato migliore, non \xE8 altro che un male necessario; nel suo stato peggiore,\
|
| 14 |
+
\ un male intollerabile; perch\xE9 quando soffriamo, o siamo esposti alle stesse\
|
| 15 |
+
\ miserie da parte di un governo, cosa che potremmo aspettarci In un paese senza\
|
| 16 |
+
\ governo, la nostra calamit\xE0 \xE8 accresciuta se riflettiamo sul fatto che\
|
| 17 |
+
\ siamo noi a fornire i mezzi con cui soffriamo. Il governo, come l\u2019abito,\
|
| 18 |
+
\ \xE8 il distintivo dell\u2019innocenza perduta; i palazzi dei re sono costruiti\
|
| 19 |
+
\ sulle rovine delle pergole del paradiso. se gli impulsi della coscienza fossero\
|
| 20 |
+
\ chiari, uniformi e irresistibilmente obbediti, l\u2019uomo non avrebbe bisogno\
|
| 21 |
+
\ di altro legislatore; ma non essendo cos\xEC, egli ritiene necessario cedere\
|
| 22 |
+
\ una parte della sua propriet\xE0 per fornire i mezzi per la protezione del\
|
| 23 |
+
\ resto; e a ci\xF2 \xE8 indotto dalla stessa prudenza che in ogni altro caso\
|
| 24 |
+
\ gli consiglia di scegliere il minimo tra due mali. Pertanto, essendo la sicurezza\
|
| 25 |
+
\ il vero disegno e fine del governo, ne consegue indiscutibilmente che qualunque\
|
| 26 |
+
\ forma di essa appaia pi\xF9 idonea a garantire per noi, con la minima spesa\
|
| 27 |
+
\ e il massimo beneficio, \xE8 preferibile a tutti gli altri." Thomas Paine,\
|
| 28 |
+
\ Common Sense, 1776 Quale delle seguenti "miserie" a cui si \xE8\
|
| 29 |
+
\ accennato sopra \xE8 stata maggiormente condannata dagli antifederalisti dell'era\
|
| 30 |
+
\ post-rivoluzionaria?"
|
| 31 |
+
- input_choice_list:
|
| 32 |
+
A: Tensioni tra le politiche britanniche e le aspirazioni dei coloni nordamericani.
|
| 33 |
+
B: Tensioni tra gli indiani d'America alleati con i francesi e quelli alleati
|
| 34 |
+
con gli inglesi.
|
| 35 |
+
C: Tensioni tra afroamericani liberati e piantatori bianchi.
|
| 36 |
+
D: "Tensioni tra coloni dell'entroterra ed \xE9lite nell'America coloniale."
|
| 37 |
+
input_correct_responses:
|
| 38 |
+
- D
|
| 39 |
+
input_question: "Questa domanda si riferisce alle seguenti informazioni. "Poich\xE9\
|
| 40 |
+
\ la nostra ultima condotta a Conestoga Manor e a Lancaster ha dato luogo a\
|
| 41 |
+
\ molte speculazioni e a una grande diversit\xE0 di sentimenti in questo e nei\
|
| 42 |
+
\ governi vicini; alcuni lo hanno rivendicato e altri lo hanno condannato; alcuni\
|
| 43 |
+
\ hanno caritatevolmente alleviato il Crimine, e altri maliziosamente lo dipingono\
|
| 44 |
+
\ nel modo pi\xF9 odioso e colori detestabili, riteniamo nostro dovere esporre\
|
| 45 |
+
\ al pubblico l'intera questione come ci \xE8 apparsa, e ci appare ancora...\
|
| 46 |
+
\ "Se queste cose non bastano a dimostrare un ingiustificabile attaccamento\
|
| 47 |
+
\ dei quaccheri agli indiani selvaggi , una ferma risoluzione di fare amicizia\
|
| 48 |
+
\ con loro e un'assoluta insensibilit\xE0 alle sofferenze umane, consideriamo\
|
| 49 |
+
\ alcuni fatti pi\xF9 recenti. Quando l'estate scorsa abbiamo scoperto che\
|
| 50 |
+
\ probabilmente non avremmo ricevuto assistenza dal governo, alcuni volontari\
|
| 51 |
+
\ sono partiti a nostre spese, determinati a scacciare i nostri nemici dai nostri\
|
| 52 |
+
\ confini; e quando ci avvicinammo alla grande Isola, capimmo che un certo numero\
|
| 53 |
+
\ dei loro Guerrieri erano usciti contro le nostre Frontiere. Dopodich\xE9 siamo\
|
| 54 |
+
\ tornati, li abbiamo raggiunti e abbiamo combattuto con loro a Munfey Hill,\
|
| 55 |
+
\ dove abbiamo perso alcuni dei nostri uomini e ucciso alcuni dei loro guerrieri,\
|
| 56 |
+
\ salvando cos\xEC le nostre frontiere da questa storia in un'altra spedizione.\
|
| 57 |
+
\ Ma non appena avevamo distrutto le loro provviste sulla grande isola e rovinato\
|
| 58 |
+
\ il loro commercio con la brava gente di Betlemme, questi stessi indiani, che\
|
| 59 |
+
\ erano giustamente sospettati di aver ucciso i nostri amici nella contea di\
|
| 60 |
+
\ Northampton, furono presi dall'influenza di alcuni quaccheri. sotto la\
|
| 61 |
+
\ protezione del governo per proteggerli dai risentimenti degli amici e dei\
|
| 62 |
+
\ parenti degli assassinati e per sostenerli durante l'inverno." \u2014\
|
| 63 |
+
"Apology of the Paxton Boys" (opuscolo), 1764 (Nota: "apology"\
|
| 64 |
+
\ in questo contesto dovrebbe essere letto come una spiegazione, non come un'ammissione\
|
| 65 |
+
\ di colpa o di rammarico.) I sentimenti espressi nella spiegazione di cui sopra\
|
| 66 |
+
\ riflettono quali delle tensioni in corso durante il periodo coloniale della\
|
| 67 |
+
\ storia americana?"
|
| 68 |
+
- input_choice_list:
|
| 69 |
+
A: "l\u2019emendamento sulla parit\xE0 di diritti"
|
| 70 |
+
B: suffragio universale
|
| 71 |
+
C: diritti degli Stati
|
| 72 |
+
D: divieto
|
| 73 |
+
input_correct_responses:
|
| 74 |
+
- B
|
| 75 |
+
input_question: "Questa domanda si riferisce alle seguenti informazioni. "Nel\
|
| 76 |
+
\ nuovo Codice di Leggi che suppongo sar\xE0 necessario che tu faccia, desidero\
|
| 77 |
+
\ che ti ricordi delle Signore, e che tu sia pi\xF9 generoso e favorevole verso\
|
| 78 |
+
\ loro rispetto ai tuoi antenati. Non mettere un potere cos\xEC illimitato nelle\
|
| 79 |
+
\ mani dei Mariti . Ricorda che tutti gli uomini sarebbero tiranni se potessero.\
|
| 80 |
+
\ Se non viene prestata particolare cura e attenzione alle donne, siamo determinati\
|
| 81 |
+
\ a fomentare una ribellione e non ci riterremo vincolati da alcuna legge in\
|
| 82 |
+
\ cui non abbiamo voce o rappresentanza. Abigail Adams, in una lettera a John\
|
| 83 |
+
\ Adams, 1776 "La legislazione speciale per le donne ci ha posto in una\
|
| 84 |
+
\ posizione molto anomala. Le donne investite dei diritti di cittadinanza in\
|
| 85 |
+
\ una sezione - elettori, giurati, titolari di cariche - che attraversano una\
|
| 86 |
+
\ linea immaginaria, sono soggetti nei successivi. In alcuni Stati, una donna\
|
| 87 |
+
\ sposata pu\xF2 detenere propriet\xE0 e trattare affari a proprio nome; in\
|
| 88 |
+
\ altri, i suoi guadagni appartengono a suo marito. In alcuni Stati, una donna\
|
| 89 |
+
\ pu\xF2 testimoniare contro suo marito, fare causa ed essere citata in giudizio\
|
| 90 |
+
\ nei tribunali; in altri, non ha alcun risarcimento in caso di danno alla persona,\
|
| 91 |
+
\ alla propriet\xE0 o al carattere. In caso di divorzio per adulterio del marito,\
|
| 92 |
+
\ la moglie innocente non \xE8 ritenuta titolare di alcun diritto sui figli\
|
| 93 |
+
\ o sulla propriet\xE0, a meno che per decreto speciale del tribunale. Ma in\
|
| 94 |
+
\ nessuno Stato dell'Unione la moglie ha diritto sulla propria persona,\
|
| 95 |
+
\ o su una parte dei guadagni comuni della convivenza durante la vita del marito.\
|
| 96 |
+
\ In alcuni Stati le donne possono entrare nel scuole di diritto e pratica nei\
|
| 97 |
+
\ tribunali; in altri sono vietati. In alcune universit\xE0 le ragazze godono\
|
| 98 |
+
\ di pari vantaggi educativi rispetto ai ragazzi, mentre molte delle istituzioni\
|
| 99 |
+
\ pi\xF9 orgogliose del paese negano loro l\u2019ammissione, sebbene i figli\
|
| 100 |
+
\ della Cina, del Giappone e dell\u2019Africa vi siano i benvenuti. Ma i privilegi\
|
| 101 |
+
\ gi\xE0 concessi nei vari Stati non sono affatto sicuri." Susan B. Anthony,\
|
| 102 |
+
\ "Dichiarazione dei diritti delle donne", 4 luglio 1876 I sentimenti\
|
| 103 |
+
\ espressi nel secondo estratto da Susan B. Anthony sono molto probabilmente\
|
| 104 |
+
\ a sostegno Di"
|
| 105 |
+
- input_choice_list:
|
| 106 |
+
A: Gli americani devono massimizzare il loro vantaggio tecnologico in Vietnam.
|
| 107 |
+
B: I bombardamenti americani in Vietnam stanno portando passo dopo passo al
|
| 108 |
+
progresso della guerra.
|
| 109 |
+
C: "Il bombardamento americano in Vietnam \xE8 un fallimento."
|
| 110 |
+
D: "L\u2019America non deve cedere al disfattismo riguardo alla guerra in Vietnam."
|
| 111 |
+
input_correct_responses:
|
| 112 |
+
- C
|
| 113 |
+
input_question: "Questa domanda si riferisce alle seguenti informazioni. I nostri\
|
| 114 |
+
\ leader parlano di fermare l'aggressione dal nord, ma questa \xE8 stata\
|
| 115 |
+
\ una lotta tra gruppi di vietnamiti finch\xE9 non siamo intervenuti. Sembriamo\
|
| 116 |
+
\ decisi a salvare i vietnamiti da Ho Chi Minh, anche a costo di ucciderli e\
|
| 117 |
+
\ demolire il loro paese per farlo. Mentre i nativi osservano i villaggi bombardati,\
|
| 118 |
+
\ le donne e i bambini bruciati dal napalm, i raccolti di riso distrutti e le\
|
| 119 |
+
\ citt\xE0 invase dal nostro personale militare, senza dubbio dicono segretamente\
|
| 120 |
+
\ della guerriglia vietcong e delle forze americane: "Una piaga su entrambe\
|
| 121 |
+
\ le vostre case ." \u2026 Fermare i bombardamenti, a nord e a sud, porre\
|
| 122 |
+
\ fine alle ricerche e alla distruzione delle operazioni offensive e limitare\
|
| 123 |
+
\ la nostra azione militare allo svolgimento di operazioni sul terreno. I bombardamenti\
|
| 124 |
+
\ sul nord non sono riusciti a fermare o a frenare seriamente il flusso di truppe\
|
| 125 |
+
\ verso sud e potrebbero, di fatto, aver indotto Hanoi ad uno sforzo bellico\
|
| 126 |
+
\ molto maggiore. \u2014Il senatore George McGovern, "The Lessons of Vietnam",\
|
| 127 |
+
\ 25 aprile 1967 Quale delle seguenti opinioni degli anni '60 riflette pi\xF9\
|
| 128 |
+
\ direttamente la prospettiva del discorso di George McGovern?"
|
| 129 |
+
- input_choice_list:
|
| 130 |
+
A: Abigail Adams
|
| 131 |
+
B: Clara Barton
|
| 132 |
+
C: Shirley Temple
|
| 133 |
+
D: Hillary Clinton
|
| 134 |
+
input_correct_responses:
|
| 135 |
+
- B
|
| 136 |
+
input_question: "Questa domanda si riferisce alle seguenti informazioni. Non vengo\
|
| 137 |
+
\ per sollecitare pretese personali, n\xE9 per cercare vantaggi individuali;\
|
| 138 |
+
\ Appaio come l'avvocato di coloro che non possono difendere la propria\
|
| 139 |
+
\ causa; Vengo come amico di coloro che sono abbandonati, oppressi e desolati.\
|
| 140 |
+
\ Nella Provvidenza di Dio, io sono la voce del maniaco le cui grida penetranti\
|
| 141 |
+
\ dalle tetre segrete delle vostre prigioni non penetrano nelle vostre Aule\
|
| 142 |
+
\ della Legislazione. Io sono la Speranza dei poveri esseri impazziti che si\
|
| 143 |
+
\ struggono nelle celle, nei box, nelle gabbie e nelle stanze desolate delle\
|
| 144 |
+
\ vostre povere case. Io sono la Rivelazione di centinaia di creature lamentose\
|
| 145 |
+
\ e sofferenti, nascoste nelle vostre dimore private, in recinti e cabine, chiuse\
|
| 146 |
+
\ fuori, tagliate fuori da ogni influenza curativa, da ogni cura che risana\
|
| 147 |
+
\ la mente... Le loro storie malinconiche potrebbero essere diffuse davanti\
|
| 148 |
+
\ a voi? come rivelato al mio spirito addolorato durante gli ultimi tre mesi,\
|
| 149 |
+
\ con quanta rapidit\xE0 e seriet\xE0 cercheresti i mezzi di sollievo pi\xF9\
|
| 150 |
+
\ approvati; quanto insignificanti, quanto insignificanti, al confronto, sembrerebbero\
|
| 151 |
+
\ i sacrifici che ti vengono richiesti; come potrebbero diminuire di valore\
|
| 152 |
+
\ pochi centesimi e dollari, raccolti da ciascun cittadino, in confronto ai\
|
| 153 |
+
\ benefici certi e all'immenso bene che sarebbero assicurati ai pazzi sofferenti...\
|
| 154 |
+
\ mediante la consacrazione e l'applicazione di un fondo sufficiente alla\
|
| 155 |
+
\ costruzione? di un ospedale adatto... \u2014Dorothea Dix, Memorial Soliciting\
|
| 156 |
+
\ a State Hospital for the Protection and Cure of the Insane, presentato all'Assemblea\
|
| 157 |
+
\ Generale della Carolina del Nord, novembre 1848 Dorothea Dix pu\xF2 essere\
|
| 158 |
+
\ meglio paragonata a chi?"
|
| 159 |
+
include: _continuation_template_yaml
|
| 160 |
+
process_docs: !function utils.process_docs_high_school_us_history
|
| 161 |
+
tag: mmlu_it_llama_humanities_tasks
|
| 162 |
+
task: mmlu_it_llama_high_school_us_history
|
| 163 |
+
task_alias: high_school_us_history
|
lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_high_school_world_history.yaml
ADDED
|
@@ -0,0 +1,104 @@
|
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|
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|
|
|
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|
|
|
|
|
|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
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|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
fewshot_config:
|
| 2 |
+
sampler: first_n
|
| 3 |
+
samples:
|
| 4 |
+
- input_choice_list:
|
| 5 |
+
A: induismo
|
| 6 |
+
B: buddismo
|
| 7 |
+
C: Shintoismo
|
| 8 |
+
D: Zoroastrismo
|
| 9 |
+
input_correct_responses:
|
| 10 |
+
- A
|
| 11 |
+
input_question: "Questa domanda si riferisce alle seguenti informazioni. Contiene\
|
| 12 |
+
\ tutte le opere e i desideri e tutti i profumi e tutti i gusti. Avvolge l'universo\
|
| 13 |
+
\ intero e nel silenzio \xE8 amorevole con tutti. Questo \xE8 lo Spirito che\
|
| 14 |
+
\ \xE8 nel mio cuore, questo \xE8 Brahman. A lui verr\xF2 quando andr\xF2 oltre\
|
| 15 |
+
\ questa vita, e a lui verr\xE0 colui che ha fede e non dubita. \u2014Le Upanishad,\
|
| 16 |
+
\ India, ca. 1000 a.C. A quale religione appartiene molto probabilmente chi\
|
| 17 |
+
\ parla?"
|
| 18 |
+
- input_choice_list:
|
| 19 |
+
A: La rivoluzione industriale
|
| 20 |
+
B: Decolonizzazione
|
| 21 |
+
C: Associazioni regionali di libero scambio
|
| 22 |
+
D: Autarchia
|
| 23 |
+
input_correct_responses:
|
| 24 |
+
- B
|
| 25 |
+
input_question: "Questa domanda si riferisce alle seguenti informazioni. "La\
|
| 26 |
+
\ lotta contro il neocolonialismo non mira ad escludere il capitale del mondo\
|
| 27 |
+
\ sviluppato dall'operare nei paesi meno sviluppati. Essa mira a impedire\
|
| 28 |
+
\ che il potere finanziario dei paesi sviluppati venga utilizzato in modo tale\
|
| 29 |
+
\ da impoverire i meno sviluppati. Il non allineamento, come praticato dal Ghana\
|
| 30 |
+
\ e da molti altri paesi, si basa sulla cooperazione con tutti gli Stati, siano\
|
| 31 |
+
\ essi capitalisti, socialisti o ad economia mista. Tale politica, quindi, implica\
|
| 32 |
+
\ investimenti esteri da parte dei paesi capitalisti, ma deve essere investito\
|
| 33 |
+
\ secondo un piano nazionale elaborato dal governo dello Stato non allineato\
|
| 34 |
+
\ tenendo conto dei propri interessi. La questione non \xE8 quale rendimento\
|
| 35 |
+
\ ottiene l'investitore straniero dai suoi investimenti... La questione\
|
| 36 |
+
\ \xE8 di potere. Uno Stato in la morsa del neocolonialismo non \xE8 padrona\
|
| 37 |
+
\ del proprio destino." Kwame Nkrumah, Neo-Colonialism, 1965 Quale dei\
|
| 38 |
+
\ seguenti fornisce il contesto migliore per gli scritti di Nkrumah?"
|
| 39 |
+
- input_choice_list:
|
| 40 |
+
A: Accettazione sociale del lavoro minorile
|
| 41 |
+
B: Aspettativa di vita in calo in Germania
|
| 42 |
+
C: Critiche ai dazi commerciali tedeschi
|
| 43 |
+
D: Effetti negativi attribuiti al capitalismo industriale
|
| 44 |
+
input_correct_responses:
|
| 45 |
+
- D
|
| 46 |
+
input_question: "Questa domanda si riferisce alle seguenti informazioni. "La\
|
| 47 |
+
\ vera lamentela dell'operaio \xE8 l'insicurezza della sua esistenza;\
|
| 48 |
+
\ non \xE8 sicuro che avr\xE0 sempre lavoro, non \xE8 sicuro che sar\xE0 sempre\
|
| 49 |
+
\ sano, e prevede che un giorno sar\xE0 vecchio e inabile al lavoro Se cade\
|
| 50 |
+
\ in povert\xE0, anche solo a causa di una malattia prolungata, \xE8 del tutto\
|
| 51 |
+
\ indifeso, messo alla prova da solo, e la societ\xE0 attualmente non riconosce\
|
| 52 |
+
\ alcun obbligo reale nei suoi confronti oltre al consueto aiuto ai poveri,\
|
| 53 |
+
\ anche se ha "Ho sempre lavorato fedelmente e diligentemente. Ma il solito\
|
| 54 |
+
\ aiuto ai poveri lascia molto a desiderare, soprattutto nelle grandi citt\xE0\
|
| 55 |
+
, dove \xE8 molto peggio che in campagna." Otto von Bismarck, 1884 Otto\
|
| 56 |
+
\ von Bismarck probabilmente fece questo discorso in reazione a quale dei seguenti\
|
| 57 |
+
\ problemi?"
|
| 58 |
+
- input_choice_list:
|
| 59 |
+
A: Il mantenimento della supremazia militare a tutti i costi
|
| 60 |
+
B: Crescenti tensioni tra sette religiose
|
| 61 |
+
C: "Fattori che portarono al crollo dell\u2019Impero Ottomano"
|
| 62 |
+
D: Sforzi di pace tra gli imperi islamici
|
| 63 |
+
input_correct_responses:
|
| 64 |
+
- B
|
| 65 |
+
input_question: "Questa domanda si riferisce alle seguenti informazioni. "In\
|
| 66 |
+
\ effetti, poich\xE9 sia le fatwa di illustri [studiosi] che basano la loro\
|
| 67 |
+
\ opinione sia sulla ragione che sulla tradizione, sia il consenso della comunit\xE0\
|
| 68 |
+
\ sunnita concordano sul fatto che l'antico obbligo di estirpazione, sterminio\
|
| 69 |
+
\ ed espulsione del male innovativo deve essere lo scopo del nostro esaltato\
|
| 70 |
+
\ aspirazione, poich\xE9 "Lo zelo religioso \xE8 una vittoria della Fede\
|
| 71 |
+
\ di Dio Benefico"; poi, secondo le parole del Profeta (Pace su di lui!)\
|
| 72 |
+
\ "Chiunque introdurr\xE0 cattive innovazioni nel nostro ordine sia espulso"\
|
| 73 |
+
\ e "Chiunque non qualsiasi cosa contraria al nostro ordine deve essere\
|
| 74 |
+
\ espulsa, "l'azione \xE8 diventata necessaria ed urgente..."\
|
| 75 |
+
\ Lettera del sultano ottomano Selim I allo sci\xE0 safavide Ismail I, 1514\
|
| 76 |
+
\ La lettera di Selim I \xE8 pi\xF9 chiaramente un esempio di quale dei seguenti?"
|
| 77 |
+
- input_choice_list:
|
| 78 |
+
A: Una rottura delle rotte commerciali attraverso il crollo della struttura
|
| 79 |
+
statale stabilita
|
| 80 |
+
B: Un aumento della popolazione mondiale attraverso una maggiore abbondanza
|
| 81 |
+
di cibo
|
| 82 |
+
C: La diffusione dei sistemi di credenze cinesi e indiani nel mondo
|
| 83 |
+
D: Un aumento dei disordini sociali
|
| 84 |
+
input_correct_responses:
|
| 85 |
+
- B
|
| 86 |
+
input_question: "Questa domanda si riferisce alle seguenti informazioni. "Almeno\
|
| 87 |
+
\ una delle societ\xE0 [del mondo] dovrebbe in qualche modo aumentare enormemente\
|
| 88 |
+
\ la propria produttivit\xE0 [al fine di raggiungere l'egemonia globale].\
|
| 89 |
+
\ Questo salto quantico dovrebbe essere fatto prima delle varie rivoluzioni\
|
| 90 |
+
\ scientifiche, tecnologiche, agricole e industriali su cui si basa la nostra\
|
| 91 |
+
\ Il mondo dopo il salto quantico resta. Ci\xF2 potrebbe essere realizzato solo\
|
| 92 |
+
\ sfruttando gli ecosistemi, le risorse minerarie e le risorse umane di interi\
|
| 93 |
+
\ continenti al di fuori dei territori della societ\xE0 che ha compiuto il salto.\
|
| 94 |
+
\ L\u2019Europa occidentale ha fatto proprio questo attraverso la sua brutalit\xE0\
|
| 95 |
+
, le armi e le armi. , cosa pi\xF9 importante, per fortuna geografica ed ecologica."\
|
| 96 |
+
\ Copyright \xA9 2015Cambridge University Press. Alfred Crosby, storico, Ecological\
|
| 97 |
+
\ Imperialism, 2004 Il "salto quantico" menzionato nel passaggio ha\
|
| 98 |
+
\ contribuito pi\xF9 direttamente a quale dei seguenti sviluppi nel periodo\
|
| 99 |
+
\ 1450-1750 d.C.?"
|
| 100 |
+
include: _continuation_template_yaml
|
| 101 |
+
process_docs: !function utils.process_docs_high_school_world_history
|
| 102 |
+
tag: mmlu_it_llama_humanities_tasks
|
| 103 |
+
task: mmlu_it_llama_high_school_world_history
|
| 104 |
+
task_alias: high_school_world_history
|
lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_human_aging.yaml
ADDED
|
@@ -0,0 +1,53 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
fewshot_config:
|
| 2 |
+
sampler: first_n
|
| 3 |
+
samples:
|
| 4 |
+
- input_choice_list:
|
| 5 |
+
A: Un uomo o una donna asiatica
|
| 6 |
+
B: Un uomo ispanico
|
| 7 |
+
C: Una donna afroamericana
|
| 8 |
+
D: Un uomo o una donna bianca
|
| 9 |
+
input_correct_responses:
|
| 10 |
+
- C
|
| 11 |
+
input_question: "Quale delle seguenti persone ha maggiori probabilit\xE0 di rimanere\
|
| 12 |
+
\ a casa da sola, a partire dal 2019?"
|
| 13 |
+
- input_choice_list:
|
| 14 |
+
A: Vantaggio dell'adolescenza
|
| 15 |
+
B: Urto della reminiscenza
|
| 16 |
+
C: Memoriale commemorativo
|
| 17 |
+
D: Picco di recupero quadratico
|
| 18 |
+
input_correct_responses:
|
| 19 |
+
- B
|
| 20 |
+
input_question: "La scoperta che gli adulti tendono a ricordare gli eventi della\
|
| 21 |
+
\ loro adolescenza meglio che quelli di altri periodi della loro vita viene\
|
| 22 |
+
\ definita \u201C"
|
| 23 |
+
- input_choice_list:
|
| 24 |
+
A: Texas
|
| 25 |
+
B: California
|
| 26 |
+
C: Hawaii
|
| 27 |
+
D: Vermont
|
| 28 |
+
input_correct_responses:
|
| 29 |
+
- A
|
| 30 |
+
input_question: "Quando gli anziani si trasferiscono in un nuovo stato dopo il\
|
| 31 |
+
\ pensionamento, quale delle seguenti \xE8 la destinazione pi\xF9 probabile?"
|
| 32 |
+
- input_choice_list:
|
| 33 |
+
A: Nicotina
|
| 34 |
+
B: Catrame
|
| 35 |
+
C: Monossido di carbonio
|
| 36 |
+
D: Particelle di fumo
|
| 37 |
+
input_correct_responses:
|
| 38 |
+
- B
|
| 39 |
+
input_question: "Quale elemento nel fumo di tabacco \xE8 responsabile del cancro?"
|
| 40 |
+
- input_choice_list:
|
| 41 |
+
A: "Una donna ispanoamericana pi\xF9 anziana"
|
| 42 |
+
B: Una donna afroamericana anziana
|
| 43 |
+
C: "Una donna asiatica americana pi\xF9 anziana"
|
| 44 |
+
D: "Una donna nativa americana pi\xF9 anziana"
|
| 45 |
+
input_correct_responses:
|
| 46 |
+
- C
|
| 47 |
+
input_question: "A parit\xE0 di condizioni, quale delle seguenti persone ha maggiori\
|
| 48 |
+
\ probabilit\xE0 di soffrire di osteoporosi?"
|
| 49 |
+
include: _continuation_template_yaml
|
| 50 |
+
process_docs: !function utils.process_docs_human_aging
|
| 51 |
+
tag: mmlu_it_llama_other_tasks
|
| 52 |
+
task: mmlu_it_llama_human_aging
|
| 53 |
+
task_alias: human_aging
|
lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_human_sexuality.yaml
ADDED
|
@@ -0,0 +1,53 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
fewshot_config:
|
| 2 |
+
sampler: first_n
|
| 3 |
+
samples:
|
| 4 |
+
- input_choice_list:
|
| 5 |
+
A: durante il primo trimestre
|
| 6 |
+
B: durante il secondo trimestre
|
| 7 |
+
C: durante il terzo trimestre
|
| 8 |
+
D: per tutta la gravidanza
|
| 9 |
+
input_correct_responses:
|
| 10 |
+
- A
|
| 11 |
+
input_question: "La nausea mattutina \xE8 in genere un problema:"
|
| 12 |
+
- input_choice_list:
|
| 13 |
+
A: un ego forte
|
| 14 |
+
B: un Super-Io debole
|
| 15 |
+
C: "un'identit\xE0 debole"
|
| 16 |
+
D: un forte Super-Io
|
| 17 |
+
input_correct_responses:
|
| 18 |
+
- B
|
| 19 |
+
input_question: 'Una donna che sa di avere un herpes attivo e una sifilide non
|
| 20 |
+
trattata ma continua a fare sesso senza informare i suoi partner della sua condizione
|
| 21 |
+
ha, in termini psicoanalitici:'
|
| 22 |
+
- input_choice_list:
|
| 23 |
+
A: il fatto che non hanno un periodo refrattario.
|
| 24 |
+
B: la risposta degli strati interni della vagina.
|
| 25 |
+
C: avere orgasmi alternati in luoghi diversi.
|
| 26 |
+
D: il punto G.
|
| 27 |
+
input_correct_responses:
|
| 28 |
+
- A
|
| 29 |
+
input_question: "La capacit\xE0 delle donne di avere orgasmi multipli \xE8 dovuta\
|
| 30 |
+
\ principalmente a:"
|
| 31 |
+
- input_choice_list:
|
| 32 |
+
A: rapporto sessuale
|
| 33 |
+
B: il cerchio sussulta
|
| 34 |
+
C: esibizionismo
|
| 35 |
+
D: toccarsi i genitali a vicenda
|
| 36 |
+
input_correct_responses:
|
| 37 |
+
- A
|
| 38 |
+
input_question: "La natura delle attivit\xE0 omosessuali che si verificano durante\
|
| 39 |
+
\ la preadolescenza include tutte le seguenti, tranne quale?"
|
| 40 |
+
- input_choice_list:
|
| 41 |
+
A: eiaculazione precoce
|
| 42 |
+
B: eiaculazione inibita
|
| 43 |
+
C: disturbo erettile
|
| 44 |
+
D: disturbo eiaculatorio
|
| 45 |
+
input_correct_responses:
|
| 46 |
+
- C
|
| 47 |
+
input_question: "Il disturbo pi\xF9 comune tra gli uomini che cercano una terapia\
|
| 48 |
+
\ sessuale \xE8:"
|
| 49 |
+
include: _continuation_template_yaml
|
| 50 |
+
process_docs: !function utils.process_docs_human_sexuality
|
| 51 |
+
tag: mmlu_it_llama_social_sciences_tasks
|
| 52 |
+
task: mmlu_it_llama_human_sexuality
|
| 53 |
+
task_alias: human_sexuality
|
lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_international_law.yaml
ADDED
|
@@ -0,0 +1,71 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
fewshot_config:
|
| 2 |
+
sampler: first_n
|
| 3 |
+
samples:
|
| 4 |
+
- input_choice_list:
|
| 5 |
+
A: "L\u2019articolo 2, paragrafo 4 riguarda solo la forza armata"
|
| 6 |
+
B: "L\u2019articolo 2, paragrafo 4, comprende tutti i tipi di forza, comprese\
|
| 7 |
+
\ le sanzioni"
|
| 8 |
+
C: "L\u2019articolo 2, paragrafo 4, comprende tutte le ingerenze negli affari\
|
| 9 |
+
\ interni degli Stati"
|
| 10 |
+
D: "L'articolo 2, paragrafo 4, comprende la forza diretta esclusivamente\
|
| 11 |
+
\ contro l'integrit\xE0 territoriale di uno Stato"
|
| 12 |
+
input_correct_responses:
|
| 13 |
+
- A
|
| 14 |
+
input_question: "Quali tipi di forza vietano l\u2019articolo 2, paragrafo 4, della\
|
| 15 |
+
\ Carta delle Nazioni Unite?"
|
| 16 |
+
- input_choice_list:
|
| 17 |
+
A: Se una parte in un caso controverso dinanzi all'ICJ non ha una seduta
|
| 18 |
+
nazionale come giudice, ha il diritto di nominare qualcuno come giudice esclusivamente
|
| 19 |
+
per quel caso, con il titolo di giudice ad hoc
|
| 20 |
+
B: "Il giudice ad hoc \xE8 il membro del collegio giudicante della Corte internazionale\
|
| 21 |
+
\ di giustizia con voto decisivo"
|
| 22 |
+
C: "Il giudice ad hoc \xE8 un giudice surrogato, nel caso in cui un giudice\
|
| 23 |
+
\ venga squalificato o muoia"
|
| 24 |
+
D: "Il giudice ad hoc \xE8 il giudice che ciascuna parte nominer\xE0 sempre\
|
| 25 |
+
\ in ogni causa controversa"
|
| 26 |
+
input_correct_responses:
|
| 27 |
+
- A
|
| 28 |
+
input_question: "Qual \xE8 il giudice ad hoc?"
|
| 29 |
+
- input_choice_list:
|
| 30 |
+
A: "Questa \xE8 una riserva accettabile se la legislazione del paese che effettua\
|
| 31 |
+
\ la riserva utilizza una definizione diversa"
|
| 32 |
+
B: "Si tratta di una riserva inaccettabile poich\xE9 contravviene all\u2019\
|
| 33 |
+
oggetto e allo scopo dell\u2019ICCPR"
|
| 34 |
+
C: "Si tratta di una riserva inaccettabile poich\xE9 la definizione di tortura\
|
| 35 |
+
\ contenuta nell\u2019ICCPR \xE8 coerente con il diritto internazionale consuetudinario"
|
| 36 |
+
D: "Questa \xE8 una riserva accettabile perch\xE9 secondo il diritto internazionale\
|
| 37 |
+
\ generale gli Stati hanno il diritto di apporre riserve ai trattati"
|
| 38 |
+
input_correct_responses:
|
| 39 |
+
- B
|
| 40 |
+
input_question: "Una riserva alla definizione di tortura contenuta nell\u2019\
|
| 41 |
+
ICCPR sarebbe accettabile nella pratica contemporanea?"
|
| 42 |
+
- input_choice_list:
|
| 43 |
+
A: "Il consenso pu\xF2 servire come circostanza escludente l'illegittimit\xE0\
|
| 44 |
+
\ ogni volta che viene prestato"
|
| 45 |
+
B: "Il consenso non pu\xF2 mai costituire una circostanza ostativa all\u2019\
|
| 46 |
+
illegittimit\xE0"
|
| 47 |
+
C: "Il consenso pu\xF2 costituire una circostanza escludente l'illegittimit\xE0\
|
| 48 |
+
, purch\xE9 il consenso sia valido e nella misura in cui la condotta rimanga\
|
| 49 |
+
\ nei limiti del consenso prestato"
|
| 50 |
+
D: "Il consenso pu\xF2 sempre costituire una circostanza ostativa all'illegittimit\xE0\
|
| 51 |
+
, qualunque sia l'organo dello Stato che lo presta"
|
| 52 |
+
input_correct_responses:
|
| 53 |
+
- C
|
| 54 |
+
input_question: "Quando il \u201Cconsenso\u201D pu\xF2 fungere da circostanza\
|
| 55 |
+
\ ostativa all'illegittimit\xE0 di una condotta dello Stato?"
|
| 56 |
+
- input_choice_list:
|
| 57 |
+
A: Il consenso di uno Stato ad essere vincolato si esprime solo mediante ratifica
|
| 58 |
+
B: "Il consenso di uno Stato ad essere vincolato da un trattato pu\xF2 essere\
|
| 59 |
+
\ espresso mediante firma, ratifica, accettazione, approvazione o adesione"
|
| 60 |
+
C: Il consenso di uno Stato ad essere vincolato si esprime mediante la firma
|
| 61 |
+
D: "Il consenso di uno Stato ad essere vincolato \xE8 espresso con qualunque\
|
| 62 |
+
\ mezzo scelga"
|
| 63 |
+
input_correct_responses:
|
| 64 |
+
- B
|
| 65 |
+
input_question: "Come pu\xF2 essere espresso il consenso di uno Stato ad essere\
|
| 66 |
+
\ vincolato?"
|
| 67 |
+
include: _continuation_template_yaml
|
| 68 |
+
process_docs: !function utils.process_docs_international_law
|
| 69 |
+
tag: mmlu_it_llama_humanities_tasks
|
| 70 |
+
task: mmlu_it_llama_international_law
|
| 71 |
+
task_alias: international_law
|
lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_jurisprudence.yaml
ADDED
|
@@ -0,0 +1,54 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
fewshot_config:
|
| 2 |
+
sampler: first_n
|
| 3 |
+
samples:
|
| 4 |
+
- input_choice_list:
|
| 5 |
+
A: "Il POP sceglierebbe l\u2019uguaglianza al di sopra della libert\xE0."
|
| 6 |
+
B: "Il POP opterebbe per la strategia della \u201Cmassimizzazione\u201D."
|
| 7 |
+
C: "Il POP opterebbe per il \u201Cprincipio di differenza\u201D."
|
| 8 |
+
D: "Il POP rifiuterebbe il \u201Csistema della libert\xE0 naturale\u201D."
|
| 9 |
+
input_correct_responses:
|
| 10 |
+
- A
|
| 11 |
+
input_question: "Quale posizione, secondo Rawls, avr\xE0 meno probabilit\xE0 di\
|
| 12 |
+
\ essere adottata dal POP (persone nella posizione originaria)?"
|
| 13 |
+
- input_choice_list:
|
| 14 |
+
A: "massimizzazione della libert\xE0 individuale"
|
| 15 |
+
B: fornendo una base per un compromesso
|
| 16 |
+
C: mantenendo la pace
|
| 17 |
+
D: promuovere i principi del sistema della libera impresa
|
| 18 |
+
input_correct_responses:
|
| 19 |
+
- D
|
| 20 |
+
input_question: Le funzioni della legge includono tutte, tranne quale delle seguenti?
|
| 21 |
+
- input_choice_list:
|
| 22 |
+
A: "Autorit\xE0."
|
| 23 |
+
B: Carisma.
|
| 24 |
+
C: Cooperazione.
|
| 25 |
+
D: Capitalismo.
|
| 26 |
+
input_correct_responses:
|
| 27 |
+
- D
|
| 28 |
+
input_question: Quale parola riassume meglio la spiegazione di Weber dello sviluppo
|
| 29 |
+
del diritto formalmente razionale?
|
| 30 |
+
- input_choice_list:
|
| 31 |
+
A: Legge naturale
|
| 32 |
+
B: Analitico
|
| 33 |
+
C: Storico
|
| 34 |
+
D: Sociologico
|
| 35 |
+
input_correct_responses:
|
| 36 |
+
- A
|
| 37 |
+
input_question: "La ________ Scuola di giurisprudenza postula che la legge si\
|
| 38 |
+
\ basa su ci\xF2 che \xE8 "corretto"."
|
| 39 |
+
- input_choice_list:
|
| 40 |
+
A: "La lettera \xE8 un'offerta di vendita"
|
| 41 |
+
B: "Un'offerta valida non pu\xF2 essere fatta per lettera."
|
| 42 |
+
C: "La lettera contiene un'offerta valida che terminer\xE0 entro un termine\
|
| 43 |
+
\ ragionevole."
|
| 44 |
+
D: Nella lettera manca uno degli elementi essenziali di un'offerta.
|
| 45 |
+
input_correct_responses:
|
| 46 |
+
- D
|
| 47 |
+
input_question: 'Iverson Jewellers scrisse una lettera a Miller: "Abbiamo
|
| 48 |
+
ricevuto un orologio Rolox a carica automatica eccezionalmente raffinato che
|
| 49 |
+
ti venderemo a un prezzo molto favorevole".'
|
| 50 |
+
include: _continuation_template_yaml
|
| 51 |
+
process_docs: !function utils.process_docs_jurisprudence
|
| 52 |
+
tag: mmlu_it_llama_humanities_tasks
|
| 53 |
+
task: mmlu_it_llama_jurisprudence
|
| 54 |
+
task_alias: jurisprudence
|
lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_logical_fallacies.yaml
ADDED
|
@@ -0,0 +1,60 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
fewshot_config:
|
| 2 |
+
sampler: first_n
|
| 3 |
+
samples:
|
| 4 |
+
- input_choice_list:
|
| 5 |
+
A: tu quoque
|
| 6 |
+
B: risata del cavallo
|
| 7 |
+
C: argomento contro la persona
|
| 8 |
+
D: ignoratio elenchi
|
| 9 |
+
input_correct_responses:
|
| 10 |
+
- C
|
| 11 |
+
input_question: Se qualcuno attacca il carattere dell'avversario, invece di
|
| 12 |
+
rispondere alle argomentazioni di quell'avversario, la prima persona ha
|
| 13 |
+
probabilmente commesso quale dei seguenti errori?
|
| 14 |
+
- input_choice_list:
|
| 15 |
+
A: "sostenere che qualcosa \xE8 inferiore solo perch\xE9 non fa qualcosa che\
|
| 16 |
+
\ non avrebbe mai dovuto fare."
|
| 17 |
+
B: "includere pi\xF9 di una affermazione nella proposizione e trattare la prova\
|
| 18 |
+
\ di una affermazione come prova di tutte le affermazioni."
|
| 19 |
+
C: trarre una conclusione prima di esaminare le prove e considerare solo le
|
| 20 |
+
prove che supportano tale conclusione.
|
| 21 |
+
D: "porre una domanda che includa un presupposto non dimostrato o pi\xF9 di\
|
| 22 |
+
\ una domanda, rendendo cos\xEC priva di significato una risposta semplice\
|
| 23 |
+
\ s\xEC o no."
|
| 24 |
+
input_correct_responses:
|
| 25 |
+
- D
|
| 26 |
+
input_question: La complessa fallacia della domanda consiste in
|
| 27 |
+
- input_choice_list:
|
| 28 |
+
A: La premessa minore deve negare l'antecedente
|
| 29 |
+
B: La premessa maggiore deve affermare il conseguente
|
| 30 |
+
C: Il termine medio deve essere utilizzato in almeno una premessa in senso universale
|
| 31 |
+
o assoluto
|
| 32 |
+
D: Tutti i precedenti
|
| 33 |
+
input_correct_responses:
|
| 34 |
+
- C
|
| 35 |
+
input_question: "Quale delle seguenti affermazioni \xE8 vera per un sillogismo\
|
| 36 |
+
\ categorico valido?"
|
| 37 |
+
- input_choice_list:
|
| 38 |
+
A: Divisione
|
| 39 |
+
B: Composizione
|
| 40 |
+
C: Appello alla persona
|
| 41 |
+
D: Appello all'ignoranza
|
| 42 |
+
input_correct_responses:
|
| 43 |
+
- B
|
| 44 |
+
input_question: "Sostenere che ci\xF2 che \xE8 vero per le parti deve essere vero\
|
| 45 |
+
\ per il tutto \xE8 un errore..."
|
| 46 |
+
- input_choice_list:
|
| 47 |
+
A: "scarsa sportivit\xE0"
|
| 48 |
+
B: appello alla compassione
|
| 49 |
+
C: argomento contro la persona
|
| 50 |
+
D: ignoranza della confutazione
|
| 51 |
+
input_correct_responses:
|
| 52 |
+
- D
|
| 53 |
+
input_question: "Quando un argomentatore causa confusione durante la confutazione\
|
| 54 |
+
\ a causa della reale o finta mancanza di capacit\xE0 di impegnarsi nella confutazione,\
|
| 55 |
+
\ quell'argomante potrebbe aver commesso l'errore di"
|
| 56 |
+
include: _continuation_template_yaml
|
| 57 |
+
process_docs: !function utils.process_docs_logical_fallacies
|
| 58 |
+
tag: mmlu_it_llama_humanities_tasks
|
| 59 |
+
task: mmlu_it_llama_logical_fallacies
|
| 60 |
+
task_alias: logical_fallacies
|
lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_machine_learning.yaml
ADDED
|
@@ -0,0 +1,74 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
fewshot_config:
|
| 2 |
+
sampler: first_n
|
| 3 |
+
samples:
|
| 4 |
+
- input_choice_list:
|
| 5 |
+
A: 2.0/15
|
| 6 |
+
B: 1.0/7
|
| 7 |
+
C: 3.0/16
|
| 8 |
+
D: 1.0/5
|
| 9 |
+
input_correct_responses:
|
| 10 |
+
- B
|
| 11 |
+
input_question: "Un dado a 6 facce viene lanciato 15 volte e i risultati sono:\
|
| 12 |
+
\ il lato 1 esce 0 volte; lato 2: 1 volta; lato 3: 2 volte; lato 4: 3 volte;\
|
| 13 |
+
\ lato 5: 4 volte; lato 6: 5 volte. Sulla base di questi risultati, qual \xE8\
|
| 14 |
+
\ la probabilit\xE0 che venga visualizzato il lato 3 quando si utilizza l'arrotondamento\
|
| 15 |
+
\ Add-1?"
|
| 16 |
+
- input_choice_list:
|
| 17 |
+
A: ritaglio casuale e rotazione orizzontale
|
| 18 |
+
B: ritaglio casuale e rotazione verticale
|
| 19 |
+
C: posterizzazione
|
| 20 |
+
D: dithering
|
| 21 |
+
input_correct_responses:
|
| 22 |
+
- A
|
| 23 |
+
input_question: "Quale aumento dei dati immagine \xE8 pi\xF9 comune per le immagini\
|
| 24 |
+
\ naturali?"
|
| 25 |
+
- input_choice_list:
|
| 26 |
+
A: Il mio metodo raggiunge un errore di addestramento inferiore a tutti i metodi
|
| 27 |
+
precedenti!
|
| 28 |
+
B: "Il mio metodo raggiunge un errore di test inferiore a tutti i metodi precedenti!\
|
| 29 |
+
\ (Nota a pi\xE8 di pagina: quando il parametro di regolarizzazione \u03BB\
|
| 30 |
+
\ viene scelto in modo da ridurre al minimo l'errore del test.)"
|
| 31 |
+
C: "Il mio metodo raggiunge un errore di test inferiore a tutti i metodi precedenti!\
|
| 32 |
+
\ (Nota a pi\xE8 di pagina: quando il parametro di regolarizzazione \u03BB\
|
| 33 |
+
\ viene scelto in modo da ridurre al minimo l'errore di convalida incrociata.)"
|
| 34 |
+
D: "Il mio metodo raggiunge un errore di convalida incrociata inferiore a tutti\
|
| 35 |
+
\ i metodi precedenti! (Nota a pi\xE8 di pagina: quando il parametro di regolarizzazione\
|
| 36 |
+
\ \u03BB viene scelto in modo da ridurre al minimo l'errore di convalida\
|
| 37 |
+
\ incrociata.)"
|
| 38 |
+
input_correct_responses:
|
| 39 |
+
- C
|
| 40 |
+
input_question: "Stai esaminando i documenti per la conferenza sull'apprendimento\
|
| 41 |
+
\ automatico pi\xF9 fantastica del mondo e vedi i contributi con le seguenti\
|
| 42 |
+
\ affermazioni. Quali considereresti di accettare? "
|
| 43 |
+
- input_choice_list:
|
| 44 |
+
A: circa 10 esempi
|
| 45 |
+
B: circa 100 esempi
|
| 46 |
+
C: tra 100 e 500 esemplari
|
| 47 |
+
D: "pi\xF9 di 1000 esempi"
|
| 48 |
+
input_correct_responses:
|
| 49 |
+
- D
|
| 50 |
+
input_question: "Per ottenere una stima della perdita 0/1 che sia inferiore all'1%\
|
| 51 |
+
\ della vera perdita 0/1 (con probabilit\xE0 del 95%), secondo la disuguaglianza\
|
| 52 |
+
\ di Hoeffding, quanti esempi deve avere il set di test IID?"
|
| 53 |
+
- input_choice_list:
|
| 54 |
+
A: "\xC8 troppo costoso dal punto di vista computazionale."
|
| 55 |
+
B: Probabilmente il risultato sarebbe un albero decisionale con un punteggio
|
| 56 |
+
scarso sul set di addestramento e su un set di test.
|
| 57 |
+
C: Probabilmente il risultato sarebbe un albero decisionale che ottiene un buon
|
| 58 |
+
punteggio sul set di addestramento ma male su un set di test.
|
| 59 |
+
D: Probabilmente il risultato sarebbe un albero decisionale che ottiene un buon
|
| 60 |
+
punteggio su un set di test ma male su un set di addestramento.
|
| 61 |
+
input_correct_responses:
|
| 62 |
+
- C
|
| 63 |
+
input_question: "Tradizionalmente, quando abbiamo un attributo di input con valore\
|
| 64 |
+
\ reale durante l'apprendimento dell'albero decisionale, consideriamo\
|
| 65 |
+
\ una suddivisione binaria a seconda che l'attributo sia al di sopra o al\
|
| 66 |
+
\ di sotto di una certa soglia. Pat suggerisce che invece dovremmo avere semplicemente\
|
| 67 |
+
\ una suddivisione a pi\xF9 vie con un ramo per ciascuno dei valori distinti\
|
| 68 |
+
\ dell'attributo. Scegli dall'elenco seguente il problema pi\xF9 grande\
|
| 69 |
+
\ con il suggerimento di Pat:"
|
| 70 |
+
include: _continuation_template_yaml
|
| 71 |
+
process_docs: !function utils.process_docs_machine_learning
|
| 72 |
+
tag: mmlu_it_llama_stem_tasks
|
| 73 |
+
task: mmlu_it_llama_machine_learning
|
| 74 |
+
task_alias: machine_learning
|
lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_management.yaml
ADDED
|
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
fewshot_config:
|
| 2 |
+
sampler: first_n
|
| 3 |
+
samples:
|
| 4 |
+
- input_choice_list:
|
| 5 |
+
A: Posizione iniziale e posizione finale
|
| 6 |
+
B: Ambiente iniziale e ambiente modificato
|
| 7 |
+
C: Struttura organizzativa e condizionamento
|
| 8 |
+
D: Struttura iniziale e considerazioni
|
| 9 |
+
input_correct_responses:
|
| 10 |
+
- D
|
| 11 |
+
input_question: Quali sono le due dimensioni principali degli Ohio Studies sulla
|
| 12 |
+
leadership?
|
| 13 |
+
- input_choice_list:
|
| 14 |
+
A: Federico Hertzberg
|
| 15 |
+
B: DC McClelland
|
| 16 |
+
C: Abraham Maslow
|
| 17 |
+
D: Douglas McGregor
|
| 18 |
+
input_correct_responses:
|
| 19 |
+
- A
|
| 20 |
+
input_question: A quale scrittore sono associati i fattori igienici?
|
| 21 |
+
- input_choice_list:
|
| 22 |
+
A: Simboli
|
| 23 |
+
B: Rituali e routine
|
| 24 |
+
C: Strutture di potere
|
| 25 |
+
D: Sistemi di controllo
|
| 26 |
+
input_correct_responses:
|
| 27 |
+
- A
|
| 28 |
+
input_question: Quale elemento della rete culturale costituisce le insegne?
|
| 29 |
+
- input_choice_list:
|
| 30 |
+
A: Morale
|
| 31 |
+
B: Innovazione
|
| 32 |
+
C: Risorsa di crescita
|
| 33 |
+
D: Adattamento
|
| 34 |
+
input_correct_responses:
|
| 35 |
+
- A
|
| 36 |
+
input_question: "Quale caratteristica non \xE8 una caratteristica chiave del modello\
|
| 37 |
+
\ di gestione dei "sistemi aperti"?"
|
| 38 |
+
- input_choice_list:
|
| 39 |
+
A: Gerarchico
|
| 40 |
+
B: Burocratico
|
| 41 |
+
C: Piatto
|
| 42 |
+
D: Funzionale
|
| 43 |
+
input_correct_responses:
|
| 44 |
+
- C
|
| 45 |
+
input_question: Come possono essere descritte strutture organizzative caratterizzate
|
| 46 |
+
da stili di gestione democratici e inclusivi?
|
| 47 |
+
include: _continuation_template_yaml
|
| 48 |
+
process_docs: !function utils.process_docs_management
|
| 49 |
+
tag: mmlu_it_llama_other_tasks
|
| 50 |
+
task: mmlu_it_llama_management
|
| 51 |
+
task_alias: management
|
lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_marketing.yaml
ADDED
|
@@ -0,0 +1,59 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
fewshot_config:
|
| 2 |
+
sampler: first_n
|
| 3 |
+
samples:
|
| 4 |
+
- input_choice_list:
|
| 5 |
+
A: Geodemografica
|
| 6 |
+
B: Differenziazione del prodotto.
|
| 7 |
+
C: Matrice ANSOFF.
|
| 8 |
+
D: Gestione del marchio.
|
| 9 |
+
input_correct_responses:
|
| 10 |
+
- A
|
| 11 |
+
input_question: " _____________ \xE8 un risultato naturale quando si combinano\
|
| 12 |
+
\ variabili demografiche e geografiche."
|
| 13 |
+
- input_choice_list:
|
| 14 |
+
A: "Unit\xE0 di outsourcing."
|
| 15 |
+
B: Centro acquisti.
|
| 16 |
+
C: "Unit\xE0 esecutiva principale."
|
| 17 |
+
D: "Unit\xE0 decisionale."
|
| 18 |
+
input_correct_responses:
|
| 19 |
+
- D
|
| 20 |
+
input_question: In un'organizzazione, il gruppo di persone incaricate delle
|
| 21 |
+
decisioni di acquisto viene definito _______________.
|
| 22 |
+
- input_choice_list:
|
| 23 |
+
A: I bisogni dipendono dalla cultura e anche dalla classe sociale.
|
| 24 |
+
B: I bisogni di livello inferiore devono essere almeno parzialmente soddisfatti
|
| 25 |
+
prima che i bisogni di livello superiore possano influenzare il comportamento.
|
| 26 |
+
C: I bisogni non sono prioritari o organizzati in un ordine particolare.
|
| 27 |
+
D: I bisogni soddisfatti sono motivatori e nuovi bisogni emergono quando i bisogni
|
| 28 |
+
attuali rimangono insoddisfatti.
|
| 29 |
+
input_correct_responses:
|
| 30 |
+
- B
|
| 31 |
+
input_question: " Quale dei seguenti \xE8 un presupposto nella gerarchia dei bisogni\
|
| 32 |
+
\ di Maslow?"
|
| 33 |
+
- input_choice_list:
|
| 34 |
+
A: "Il consumatore pi\xF9 anziano che si sente un po\u2019 escluso."
|
| 35 |
+
B: "Le donne sposate, molte delle quali sentono il bisogno di stabilit\xE0 nella\
|
| 36 |
+
\ loro vita."
|
| 37 |
+
C: Nuovi immigrati che vogliono davvero assimilarsi alla loro nuova cultura.
|
| 38 |
+
D: Bambini, che basano la maggior parte delle loro decisioni di acquisto su
|
| 39 |
+
influenze esterne.
|
| 40 |
+
input_correct_responses:
|
| 41 |
+
- D
|
| 42 |
+
input_question: "Il singolo gruppo all\u2019interno della societ\xE0 che \xE8\
|
| 43 |
+
\ pi\xF9 vulnerabile all\u2019influenza del gruppo di riferimento \xE8:"
|
| 44 |
+
- input_choice_list:
|
| 45 |
+
A: Linee di cura.
|
| 46 |
+
B: Posta diretta.
|
| 47 |
+
C: Inserti.
|
| 48 |
+
D: Porta a porta.
|
| 49 |
+
input_correct_responses:
|
| 50 |
+
- D
|
| 51 |
+
input_question: "Sebbene il contenuto e la qualit\xE0 possano essere controllati\
|
| 52 |
+
\ quanto la posta diretta, i tassi di risposta di questo mezzo sono inferiori\
|
| 53 |
+
\ a causa della mancanza di un meccanismo di indirizzo personale. Questo formato\
|
| 54 |
+
\ multimediale \xE8 noto come:"
|
| 55 |
+
include: _continuation_template_yaml
|
| 56 |
+
process_docs: !function utils.process_docs_marketing
|
| 57 |
+
tag: mmlu_it_llama_other_tasks
|
| 58 |
+
task: mmlu_it_llama_marketing
|
| 59 |
+
task_alias: marketing
|
lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_medical_genetics.yaml
ADDED
|
@@ -0,0 +1,50 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
fewshot_config:
|
| 2 |
+
sampler: first_n
|
| 3 |
+
samples:
|
| 4 |
+
- input_choice_list:
|
| 5 |
+
A: reazione a catena della polimerasi.
|
| 6 |
+
B: Analisi del polimorfismo conformazionale a singolo filamento.
|
| 7 |
+
C: Southernblotting.
|
| 8 |
+
D: Blotting occidentale.
|
| 9 |
+
input_correct_responses:
|
| 10 |
+
- C
|
| 11 |
+
input_question: 'Grandi espansioni di ripetizioni di triplette possono essere
|
| 12 |
+
rilevate da:'
|
| 13 |
+
- input_choice_list:
|
| 14 |
+
A: un enzima che unisce i frammenti nella normale replicazione del DNA
|
| 15 |
+
B: un enzima di origine batterica che taglia il DNA in sequenze di basi definite
|
| 16 |
+
C: un enzima che facilita la trascrizione di geni specifici
|
| 17 |
+
D: un enzima che limita il livello raggiunto da un particolare nutriente
|
| 18 |
+
input_correct_responses:
|
| 19 |
+
- A
|
| 20 |
+
input_question: "La DNA ligasi lo \xE8"
|
| 21 |
+
- input_choice_list:
|
| 22 |
+
A: ha entrambi gli alleli espressi indipendentemente nell'eterozigote
|
| 23 |
+
B: ha un allele dominante sull'altro
|
| 24 |
+
C: ha alleli strettamente legati sullo stesso cromosoma
|
| 25 |
+
D: ha alleli espressi contemporaneamente nello sviluppo
|
| 26 |
+
input_correct_responses:
|
| 27 |
+
- A
|
| 28 |
+
input_question: Un gene che mostra codominanza
|
| 29 |
+
- input_choice_list:
|
| 30 |
+
A: Stenosi pilorica
|
| 31 |
+
B: Schizofrenia
|
| 32 |
+
C: Spina bifida (difetti del tubo neurale)
|
| 33 |
+
D: Sindrome di Marfan
|
| 34 |
+
input_correct_responses:
|
| 35 |
+
- D
|
| 36 |
+
input_question: "Quale delle seguenti condizioni non mostra ereditariet\xE0 multifattoriale?"
|
| 37 |
+
- input_choice_list:
|
| 38 |
+
A: profase I
|
| 39 |
+
B: metafase I
|
| 40 |
+
C: profase II
|
| 41 |
+
D: metafase II
|
| 42 |
+
input_correct_responses:
|
| 43 |
+
- A
|
| 44 |
+
input_question: "Lo stadio della meiosi in cui i cromosomi si accoppiano e si\
|
| 45 |
+
\ incrociano \xE8:"
|
| 46 |
+
include: _continuation_template_yaml
|
| 47 |
+
process_docs: !function utils.process_docs_medical_genetics
|
| 48 |
+
tag: mmlu_it_llama_other_tasks
|
| 49 |
+
task: mmlu_it_llama_medical_genetics
|
| 50 |
+
task_alias: medical_genetics
|
lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_miscellaneous.yaml
ADDED
|
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
fewshot_config:
|
| 2 |
+
sampler: first_n
|
| 3 |
+
samples:
|
| 4 |
+
- input_choice_list:
|
| 5 |
+
A: uno
|
| 6 |
+
B: due
|
| 7 |
+
C: quattro
|
| 8 |
+
D: otto
|
| 9 |
+
input_correct_responses:
|
| 10 |
+
- B
|
| 11 |
+
input_question: Quanti assi ha un'automobile standard?
|
| 12 |
+
- input_choice_list:
|
| 13 |
+
A: Budapest
|
| 14 |
+
B: Budokan
|
| 15 |
+
C: Bhutan
|
| 16 |
+
D: Gran Bretagna
|
| 17 |
+
input_correct_responses:
|
| 18 |
+
- B
|
| 19 |
+
input_question: "Quale luogo \xE8 nominato nel titolo dell'album live del\
|
| 20 |
+
\ 1979 delle leggende del rock Cheap Trick?"
|
| 21 |
+
- input_choice_list:
|
| 22 |
+
A: Anthony "Spud" Webb
|
| 23 |
+
B: Michael "Air" Jordan
|
| 24 |
+
C: Tyrone 'Muggsy' Bogue
|
| 25 |
+
D: Julius "Dr J" Erving
|
| 26 |
+
input_correct_responses:
|
| 27 |
+
- A
|
| 28 |
+
input_question: "Chi \xE8 l'uomo pi\xF9 basso che abbia mai vinto una gara\
|
| 29 |
+
\ di schiacciata NBA?"
|
| 30 |
+
- input_choice_list:
|
| 31 |
+
A: idrogeno
|
| 32 |
+
B: nylon
|
| 33 |
+
C: ossigeno
|
| 34 |
+
D: leggero
|
| 35 |
+
input_correct_responses:
|
| 36 |
+
- C
|
| 37 |
+
input_question: Cosa viene prodotto durante la fotosintesi?
|
| 38 |
+
- input_choice_list:
|
| 39 |
+
A: ''Radio ga ga''
|
| 40 |
+
B: ''Ob-la-di Ob-la-da''
|
| 41 |
+
C: '"De Do Do Do De Da Da Da"'
|
| 42 |
+
D: '"In-a-Gadda-Da-Vida"'
|
| 43 |
+
input_correct_responses:
|
| 44 |
+
- C
|
| 45 |
+
input_question: "Quale di queste canzoni \xE8 stata una delle prime 10 hit del\
|
| 46 |
+
\ gruppo rock The Police?"
|
| 47 |
+
include: _continuation_template_yaml
|
| 48 |
+
process_docs: !function utils.process_docs_miscellaneous
|
| 49 |
+
tag: mmlu_it_llama_other_tasks
|
| 50 |
+
task: mmlu_it_llama_miscellaneous
|
| 51 |
+
task_alias: miscellaneous
|
lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_moral_disputes.yaml
ADDED
|
@@ -0,0 +1,59 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
fewshot_config:
|
| 2 |
+
sampler: first_n
|
| 3 |
+
samples:
|
| 4 |
+
- input_choice_list:
|
| 5 |
+
A: "Non \xE8 ancora chiaro se la pena capitale scoraggi o meno danni alla comunit\xE0\
|
| 6 |
+
."
|
| 7 |
+
B: "Non \xE8 ancora chiaro se la pena capitale scoraggi o meno danni a individui."
|
| 8 |
+
C: "Il consequenzialismo non \xE8 supportato dai valori africani."
|
| 9 |
+
D: "Anche se il consequenzialismo \xE8 sostenuto dai valori africani, non \xE8\
|
| 10 |
+
\ stato offerto alcun argomento consequenzialista inquadrato in termini di\
|
| 11 |
+
\ valori africani."
|
| 12 |
+
input_correct_responses:
|
| 13 |
+
- A
|
| 14 |
+
input_question: "Secondo Metz, cosa c\u2019\xE8 di sbagliato negli argomenti consequenzialisti\
|
| 15 |
+
\ contro la pena capitale basati sui valori africani?"
|
| 16 |
+
- input_choice_list:
|
| 17 |
+
A: uno zigote.
|
| 18 |
+
B: un embrione.
|
| 19 |
+
C: "una viabilit\xE0."
|
| 20 |
+
D: una blastocisti.
|
| 21 |
+
input_correct_responses:
|
| 22 |
+
- A
|
| 23 |
+
input_question: "Un ovulo fecondato \xE8 anche noto come"
|
| 24 |
+
- input_choice_list:
|
| 25 |
+
A: essere nella classe superiore
|
| 26 |
+
B: "la capacit\xE0 di apprendere e risolvere problemi"
|
| 27 |
+
C: "essere pi\xF9 bello della maggior parte della popolazione"
|
| 28 |
+
D: "essere pi\xF9 corto della media"
|
| 29 |
+
input_correct_responses:
|
| 30 |
+
- B
|
| 31 |
+
input_question: "Quale dei seguenti \xE8 un bene intrinseco secondo Singer?"
|
| 32 |
+
- input_choice_list:
|
| 33 |
+
A: "La SCNT non \xE8 un tipo di riproduzione diverso perch\xE9 non esistono\
|
| 34 |
+
\ differenze moralmente rilevanti tra essa e altri mezzi di riproduzione consentiti."
|
| 35 |
+
B: "Poich\xE9 il rischio di danni per il gemellaggio naturale \xE8 basso, il\
|
| 36 |
+
\ rischio di danni per SCNT sar\xE0 basso."
|
| 37 |
+
C: sia a che B
|
| 38 |
+
D: "n\xE8 a n\xE8 B"
|
| 39 |
+
input_correct_responses:
|
| 40 |
+
- A
|
| 41 |
+
input_question: Pence mette a confronto sei diversi casi di riproduzione, dal
|
| 42 |
+
gemellaggio naturale all'SCNT. Quale conclusione trae da questo confronto?
|
| 43 |
+
- input_choice_list:
|
| 44 |
+
A: "la stupidit\xE0 degli esempi filosofici pi\xF9 tradizionali."
|
| 45 |
+
B: una generale mancanza di intelligenza tra le persone con titoli di studio
|
| 46 |
+
avanzati.
|
| 47 |
+
C: l'ingiustizia della tortura.
|
| 48 |
+
D: "la disponibilit\xE0 da parte di molte persone intelligenti a vedere nella\
|
| 49 |
+
\ tortura la migliore soluzione per affrontare il terrorismo."
|
| 50 |
+
input_correct_responses:
|
| 51 |
+
- D
|
| 52 |
+
input_question: "Baron ammette che le versioni dell'ipotetica bomba ad orologeria\
|
| 53 |
+
\ di cui parla sono "incredibilmente stupide", ma sostiene che questa\
|
| 54 |
+
\ \xE8 in realt\xE0 la prova di"
|
| 55 |
+
include: _continuation_template_yaml
|
| 56 |
+
process_docs: !function utils.process_docs_moral_disputes
|
| 57 |
+
tag: mmlu_it_llama_humanities_tasks
|
| 58 |
+
task: mmlu_it_llama_moral_disputes
|
| 59 |
+
task_alias: moral_disputes
|
lm-evaluation-harness/lm_eval/tasks/llama3/instruct/mmlu_it/mmlu_it_moral_scenarios.yaml
ADDED
|
@@ -0,0 +1,70 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
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|
|
|
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fewshot_config:
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sampler: first_n
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samples:
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- input_choice_list:
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A: Sbagliato, sbagliato
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B: Sbagliato, non sbagliato
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C: Non sbagliato, sbagliato
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D: Non sbagliato, non sbagliato
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input_correct_responses:
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- C
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input_question: "Per quale di questi due scenari il personaggio principale (che\
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\ usa I/me/my) fa qualcosa di chiaramente moralmente sbagliato, secondo gli\
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\ standard morali ordinari negli Stati Uniti a partire dal 2020? Scenario 1\
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\ | Ho davvero amato il mio bambino appena nato. Scenario 2 | La nuova ragazza\
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\ \xE8 imbarazzata a vivere in un parcheggio per roulotte, quindi invito la\
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\ classe a casa sua."
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- input_choice_list:
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A: Sbagliato, sbagliato
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+
B: Sbagliato, non sbagliato
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+
C: Non sbagliato, sbagliato
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| 21 |
+
D: Non sbagliato, non sbagliato
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| 22 |
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input_correct_responses:
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- C
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input_question: Per quale di questi due scenari il personaggio principale (che
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usa I/me/my) fa qualcosa di chiaramente moralmente sbagliato, secondo gli standard
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morali ordinari negli Stati Uniti a partire dal 2020? Scenario 1 | Ho chiesto
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una sigaretta al ragazzo fuori dal negozio. Scenario 2 | Quando la guardia di
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| 28 |
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sicurezza ha lasciato il suo posto, ho intascato una moneta rara.
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| 29 |
+
- input_choice_list:
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| 30 |
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A: Sbagliato, sbagliato
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| 31 |
+
B: Sbagliato, non sbagliato
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| 32 |
+
C: Non sbagliato, sbagliato
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| 33 |
+
D: Non sbagliato, non sbagliato
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input_correct_responses:
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- D
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input_question: Per quale di questi due scenari il personaggio principale (che
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| 37 |
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usa I/me/my) fa qualcosa di chiaramente moralmente sbagliato, secondo gli standard
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morali ordinari negli Stati Uniti a partire dal 2020? Scenario 1 | Ho comprato
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un vecchio pick-up per lavoro. Scenario 2 | Ho alzato lo sguardo verso la splendida
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cascata e le ho lanciato un sasso.
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| 41 |
+
- input_choice_list:
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| 42 |
+
A: Sbagliato, sbagliato
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| 43 |
+
B: Sbagliato, non sbagliato
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| 44 |
+
C: Non sbagliato, sbagliato
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| 45 |
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D: Non sbagliato, non sbagliato
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| 46 |
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input_correct_responses:
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| 47 |
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- B
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input_question: Per quale di questi due scenari il personaggio principale (che
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| 49 |
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usa I/me/my) fa qualcosa di chiaramente moralmente sbagliato, secondo gli standard
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morali ordinari negli Stati Uniti a partire dal 2020? Scenario 1 | Durante la
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demolizione della casa, l'ho spinto contro un muro. Scenario 2 | Quando
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scelgo una babysitter per le mie nipoti gemelle, non mi interessa il suo background
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razziale.
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- input_choice_list:
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| 55 |
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A: Sbagliato, sbagliato
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| 56 |
+
B: Sbagliato, non sbagliato
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| 57 |
+
C: Non sbagliato, sbagliato
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| 58 |
+
D: Non sbagliato, non sbagliato
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| 59 |
+
input_correct_responses:
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| 60 |
+
- A
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| 61 |
+
input_question: Per quale di questi due scenari il personaggio principale (che
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| 62 |
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usa I/me/my) fa qualcosa di chiaramente moralmente sbagliato, secondo gli standard
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| 63 |
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morali ordinari negli Stati Uniti a partire dal 2020? Scenario 1 | Ho preso
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il suo portafoglio dopo che mi ha molestato al bar. Scenario 2 | Ho fatto l'amore
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con il mio bambino appena nato.
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include: _continuation_template_yaml
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process_docs: !function utils.process_docs_moral_scenarios
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tag: mmlu_it_llama_humanities_tasks
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| 69 |
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task: mmlu_it_llama_moral_scenarios
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task_alias: moral_scenarios
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