{"kind":"task","effective_mode":"full","benchmark":{"kind":"benchmark","effective_mode":"full","slug":"boolq","formal_name":"BoolQ","introduction":"BoolQ pairs naturally occurring yes/no questions from search queries with a passage that decides them. The format is simple, but the inference it needs is consistently heavier than it looks.","introduction_ja":"","introduction_en":"","category":"Category not supplied","task_count":null,"acquisition_status":"Acquisition status not supplied","official_url":"https://github.com/google-research-datasets/boolean-questions","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":"f363fbcc-a287-55ef-bcb7-adc81cf7b371","task_key":"default--validation--f363fbcc-a287-55ef-bcb7-adc81cf7b371","task_revision_id":"1","upstream_id":"","short_description":"can pipelining help latency of a single task","config":"default","split":"validation","body":"{\"passage\":\"Instruction pipelining is a technique for implementing instruction-level parallelism within a single processor. Pipelining attempts to keep every part of the processor busy with some instruction by dividing incoming instructions into a series of sequential steps (the eponymous ``pipeline'') performed by different processor units with different parts of instructions processed in parallel. It allows faster CPU throughput than would otherwise be possible at a given clock rate, but may increase latency due to the added overhead of the pipelining process itself.\",\"question\":\"can pipelining help latency of a single task\"}","display_format":"text","language":"","answer_status":"published","assets":[],"source_url":"https://github.com/google-research-datasets/boolean-questions","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}