{"kind":"task","effective_mode":"full","benchmark":{"kind":"benchmark","effective_mode":"full","slug":"mmmu-pro","formal_name":"MMMU-Pro","introduction":"多様な学問分野の画像とテキストを組み合わせ、マルチモーダル理解を評価するベンチマークです。公式データカードでは各設定に1,730問があり、4択・10択の標準設定と画像のみの設定を区別します。\n\nMMMU-Pro evaluates multimodal understanding across academic disciplines using images and text. The official card lists 1,730 questions per setting, separating four-option and ten-option standard settings from the vision setting.","introduction_ja":"","introduction_en":"","category":"Category not supplied","task_count":null,"acquisition_status":"Acquisition status not supplied","official_url":"https://mmmu-benchmark.github.io/","indexing_mode":"noindex"},"task_id":"11b69d50-87a7-57ca-a3dc-b33bcaa37e3b","task_key":"standard~20~2810~20options~29--test--test~5fComputer~5fScience~5f77","task_revision_id":"1","upstream_id":"test_Computer_Science_77","short_description":"You have a 1-D dataset $\\large \\{x^{(1)}, ... , x^{(m)} \\}$ and you want to…","config":"standard (10 options)","split":"test","body":"{\"img_type\":\"['Plots and Charts']\",\"options\":\"['$\\\\\\\\large \\\\\\\\mu_1= -8, \\\\\\\\large \\\\\\\\sigma_1^2= 2$', '$\\\\\\\\large \\\\\\\\mu_1= -6, \\\\\\\\large \\\\\\\\sigma_1^2= 2$', '$\\\\\\\\large \\\\\\\\mu_1= -3, \\\\\\\\large \\\\\\\\sigma_1^2= 2$', '$\\\\\\\\large \\\\\\\\mu_1= -1, \\\\\\\\large \\\\\\\\sigma_1^2= 6$', '$\\\\\\\\large \\\\\\\\mathbf{\\\\\\\\mu_1=} -3, \\\\\\\\large \\\\\\\\mathbf{\\\\\\\\sigma_1^2=} 4$', '$\\\\\\\\large \\\\\\\\mu_1= -6, \\\\\\\\large \\\\\\\\sigma_1^2= 4$', '$\\\\\\\\large \\\\\\\\mu_1= -5, \\\\\\\\large \\\\\\\\sigma_1^2= 3$', '$\\\\\\\\large \\\\\\\\mu_1= -4, \\\\\\\\large \\\\\\\\sigma_1^2= 3$', '$\\\\\\\\large \\\\\\\\mu_1= -7, \\\\\\\\large \\\\\\\\sigma_1^2= 1$', '$\\\\\\\\large \\\\\\\\mu_1= -2, \\\\\\\\large \\\\\\\\sigma_1^2= 5$']\",\"question\":\"You have a 1-D dataset $\\\\large \\\\{x^{(1)}, ... , x^{(m)} \\\\}$ and you want to detect outliers in the dataset. You first plot the dataset and it looks like this:<image 1>Suppose you fit the gaussian distribution parameters $\\\\large \\\\mu_1$ and $\\\\large \\\\sigma_1^2$ to this dataset.Which of the following values for $\\\\large \\\\mu_1$ and $\\\\large \\\\sigma_1^2$ might you get?\",\"subject\":\"Computer_Science\"}","display_format":"text","language":"","answer_status":"published","assets":[{"kind":"file","reference_id":"task:11b69d50-87a7-57ca-a3dc-b33bcaa37e3b:1:image_1.png","filename":"image_1.png","media_type":"image/png","alt":""}],"source_url":"https://mmmu-benchmark.github.io/","history":"initial import","indexing_mode":"noindex","subproblems":[],"grids":[]}