{"kind":"task","effective_mode":"full","benchmark":{"kind":"benchmark","effective_mode":"full","slug":"bbeh","formal_name":"BIG-Bench Extra Hard (BBEH)","introduction":"BIG-Bench Extra Hard evaluates language-model reasoning through challenging task categories. It offers full and mini distributions; this import contains the full distribution: 4,520 questions across all 23 task categories.","introduction_ja":"","introduction_en":"","category":"Category not supplied","task_count":null,"acquisition_status":"Acquisition status not supplied","official_url":"https://github.com/google-deepmind/bbeh","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":"c462b773-754a-5d06-8a22-5d0f33d210af","task_key":"bbeh~5fspatial~5freasoning--full--c462b773-754a-5d06-8a22-5d0f33d210af","task_revision_id":"1","upstream_id":"","short_description":"You have been given a circular path consisting of 9 connected dots. At the…","config":"bbeh_spatial_reasoning","split":"full","body":"{\"input\":\"You have been given a circular path consisting of 9 connected dots. At the start, you are positioned on the dot that is located at the top of the path, where you find a snow leopard. Moving in a clockwise direction from the snow leopard, the elements on the path are a potter's wheel, an odometer, a tiger cat, a tench, a common squirrel monkey, a Pomeranian, an envelope, and a Sussex Spaniel. Starting from the tiger cat, you move around the ring by 5 steps in a clockwise direction, and you move around the ring by 9 steps in a counter-clockwise direction. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \\\"unknown\\\".\"}","display_format":"text","language":"","answer_status":"published","assets":[],"source_url":"https://github.com/google-deepmind/bbeh","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}