{"kind":"task","effective_mode":"full","benchmark":{"kind":"benchmark","effective_mode":"full","slug":"mmlu-pro","formal_name":"MMLU-Pro","introduction":"MMLU-Pro rebuilds MMLU with ten answer options instead of four and removes items that no longer separate models. Questions span fourteen academic and professional subjects.","introduction_ja":"","introduction_en":"","category":"Category not supplied","task_count":null,"acquisition_status":"Acquisition status not supplied","official_url":"https://huggingface.co/datasets/TIGER-Lab/MMLU-Pro","indexing_mode":"index","profile":{"resources":[],"task_format":"","scoring":"","metric":"","size":"","answer_access":"","license":"","citation":"","maintainer":"","released":"","why_hard":"","related":[],"history":"","construction":"","limitations":"","saturation":"","scores":[]}},"task_id":"104a68f9-6e7d-5ca1-8fb0-3ed4f574aed8","task_key":"default--test--10615","task_revision_id":"1","upstream_id":"10615","short_description":"Write a FORTRAN program segment to compute values of the POISSON distribution…","config":"default","split":"test","body":"{\"category\":\"computer science\",\"options\":\"['FUNCTION P(X,M) INTEGER X Y = FLOAT(M) P = EXP(M) * M ** X / FACT(X) RETURN END', 'FUNCTION P(X,M) INTEGER X, M P = EXP(-M) * M ** X / FACT(X) RETURN END', 'FUNCTION P(X,M) INTEGER X, M P = EXP(-M) / (M ** X * FACT(X)) RETURN END', 'FUNCTION P(X,M) INTEGER X Y = FLOAT (M) P = EXP(-Y) * M ** X / FACT (X) RETURN END', 'FUNCTION P(X,M) INTEGER X Y = FLOAT (M) P = EXP(Y) * M ** X / FACT (X) RETURN END', 'FUNCTION P(X,M) REAL X Y = FLOAT(M) P = EXP(Y) / (M ** X / FACT(X)) RETURN END', 'FUNCTION P(X,M) REAL X Y = FLOAT(M) P = EXP(-Y) * Y ** X RETURN END', 'FUNCTION P(X,M) INTEGER X Y = FLOAT (M) P = EXP(-Y) * M ** X * FACT (X) RETURN END', 'FUNCTION P(X,M) INTEGER X Y = FLOAT(M) P = EXP(-Y) / (M ** X * FACT(X)) RETURN END', 'FUNCTION P(X,M) INTEGER X Y = FLOAT (M) P = EXP(-Y) * M / X / FACT (X) RETURN END']\",\"question\":\"Write a FORTRAN program segment to compute values of the POISSON distribution given by P(X) = e^-mm^x/x! Assume (1) that X and m are integer variables; (2) that X and m are small enough that no term will exceed the size permitted for a real variable in your computer; and (3) that the function FACT (n) for computing n! is available.\",\"src\":\"stemez-ComputerScience\"}","display_format":"text","language":"","answer_status":"published","assets":[],"source_url":"https://huggingface.co/datasets/TIGER-Lab/MMLU-Pro","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}