{"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":"b9c1e487-24cb-5568-9880-88b2dabdf552","task_key":"default--test--10629","task_revision_id":"1","upstream_id":"10629","short_description":"Which of the following is/are true regarding an SVM?","config":"default","split":"test","body":"{\"category\":\"computer science\",\"options\":\"['SVM cannot be used for multi-class classification problems.', 'SVM always produces a unique solution regardless of the data.', 'SVM is only applicable to linearly separable data.', 'In SVM, the margin is not affected by the outliers.', 'Overfitting in an SVM is not a function of number of support vectors.', 'For two dimensional data points, the separating hyperplane learnt by a linear SVM will be a straight line.', 'The kernel function in SVM is always linear.', 'In theory, a Gaussian kernel SVM cannot model any complex separating hyperplane.', 'For every kernel function used in a SVM, one can obtain an equivalent closed form basis expansion.', 'The use of kernel function in SVM does not affect the complexity of the model.']\",\"question\":\"Which of the following is/are true regarding an SVM?\",\"src\":\"ori_mmlu-machine_learning\"}","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":[]}