We present TriviaQA, a challenging reading comprehension dataset containing over 650K question-answer-evidence triples. TriviaQA includes 95K question-answer pairs authored by trivia enthusiasts and independently gathered evidence documents, six per question on average, that provide high quality distant supervision for answering the questions.
DragonVerseQA is an open-domain and long-form Over-The-Top (OTT) Question-Answering (QA) dataset specifically oriented to the fantasy universe of "The House of the Dragon" and "Game Of Thrones" TV series. The curated dataset combines full episode summaries sourced from HBO and fandom wiki websites, user reviews from sources like IMDb and Rotten Tomatoes, and high-quality, open-domain, legally admissible sources, and structured data from repositories like WikiData into one dataset.
Question Answer Pair dataset for Sentiment Analysis Tasks.
