{"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":"03f7220d-7785-5c46-a0ea-c0a9ed2142a4","task_key":"default--test--10405","task_revision_id":"1","upstream_id":"10405","short_description":"A is any 20 × 20 array. Write a FUNCTION subprogram to compute PD (A, I, J) = […","config":"default","split":"test","body":"{\"category\":\"computer science\",\"options\":\"['FUNCTION PD (A, I, J) DIMENSION A (20, 20) PD = (A (I, J-1) + A (I, J+1) + A (I-1, J) + A (I+1, J)) / 5.0 RETURN END; B(I, J) = [(1.-ALPHA)*B(I, J) + ALPHA*PD(B, I, J)].', 'FUNCTION PD (A, I, J) DIMENSION A (20, 20) PD = (A (I-1, J) + A (I+1, J) + A (I, J-1) + A (I, J+1)) / 4.0 RETURN END; B(I, J) = [(1.-ALPHA)*B(I, J) + ALPHA*PD(B, I, J)].', 'FUNCTION PD (A, I, J) DIMENSION A (20, 20) PD = (A (I-1, J-1) + A (I+1, J+1) + A (I-1, J+1) + A (I+1, J-1)) / 4.0 RETURN END; B(I, J) = [(1.-ALPHA)*B(I, J) + ALPHA*PD(B, I, J)].', 'FUNCTION PD (A, I, J) DIMENSION A (20, 20) PD = (A (I, J) + A (I, J+1) + A (I, J-1) + A (I-1, J) + A (I+1, J)) / 5.0 RETURN END; B(I, J) = [(1.-ALPHA)*B(I, J) + ALPHA*PD(B, I, J)].', 'FUNCTION PD (A, I, J) DIMENSION A (20, 20) PD = (A (I, J) + A (I+1, J) + A (I-1, J) + A (I, J-1) + A (I, J+1)) / 6.0 RETURN END; B(I, J) = [(1.-ALPHA)*B(I, J) + ALPHA*PD(B, I, J)].', 'FUNCTION PD (A, I, J) DIMENSION A (20, 20) PD = (A (I, J) + A (I-2, J) + A (I+2, J) + A (I, J-2) + A (I, J+2)) / 4.0 RETURN END; B(I, J) = [(1.-ALPHA)*B(I, J) + ALPHA*PD(B, I, J)].', 'FUNCTION PD (A, I, J) DIMENSION A (20, 20) PD = (A (I-2, J) + A (I+2, J) + A (I, J-2) + A (I, J+2)) / 4.0 RETURN END; B(I, J) = [(1.-ALPHA)*B(I, J) + ALPHA*PD(B, I, J)].', 'FUNCTION PD (A, I, J) DIMENSION A (20, 20) PD = (A (I-1, J) + A (I, J+1) + A (I+1, J) + A (I, J-1)) / 3.0 RETURN END; B(I, J) = [(1.-ALPHA)*B(I, J) + ALPHA*PD(B, I, J)].', 'FUNCTION PD (A, I, J) DIMENSION A (20, 20) PD = (A (I-1, J) + A (I+1, J) + A (I, J-1) + A (I, J+1)) / 2.0 RETURN END; B(I, J) = [(1.-ALPHA)*B(I, J) + ALPHA*PD(B, I, J)].']\",\"question\":\"A is any 20 × 20 array. Write a FUNCTION subprogram to compute PD (A, I, J) = [ A(I-1,J) + A(I+1,J) + A(I,J-1) + A(I,J+1)] / 4 Then use it to compute B_ij = (1-\\\\alpha)B_ij+ \\\\alpha [{Bi-1, j+Bi+1, j+ Bi, j-1+ Bi, j+1} / 4].\",\"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":[]}