QUASAR-T
QUestion Answering by Search And Reading – Trivia
홈페이지 · 논문 55편
QUASAR-T is a large-scale dataset aimed at evaluating systems designed to comprehend a natural language query and extract its answer from a large corpus of text. It consists of 43,013 open-domain trivia questions and their answers obtained from various internet sources. ClueWeb09 serves as the background corpus for extracting these answers. The answers to these questions are free-form spans of text, though most are noun phrases. Source: Quasar: Datasets for Question Answering by Search and Reading Image Source: Quasar: Datasets for Question Answering by Search and Reading
Texts English