You are currently viewing 10 Best Datasets for Question Answering [2023]

10 Best Datasets for Question Answering [2023]

Question answering (QA) is a subfield of natural language processing (NLP) that involves developing systems that can understand and respond to questions posed in natural language. With the growing popularity of virtual assistants, chatbots, and other conversational systems, QA has become an increasingly important area of research. In this article, we will be exploring the 10 best datasets for question answering in 2023.

Dataset NameSizeDownload LinkDescription
SQuAD87,599 questions and answershttps://rajpurkar.github.io/SQuAD-explorer/Stanford Question Answering Dataset (SQuAD) is a reading comprehension dataset, consisting of questions posed by crowdworkers on a set of Wikipedia articles.
TriviaQA650,000 questions and answershttps://nlp.cs.washington.edu/triviaqa/TriviaQA is a large scale QA dataset, containing questions and answers based on trivia information.
MS MARCO1,000,000 questions and answershttps://github.com/Microsoft/MSMARCO-Question-AnsweringMicrosoft MAchine Reading COmprehension (MS MARCO) is a question answering dataset aimed at training machine reading comprehension systems.
Natural Questions50,000 questions and answershttps://ai.google.com/research/NaturalQuestionsNatural Questions is a QA dataset collected from real user searches on Google.
HotpotQA110,000 questions and answershttps://hotpotqa.github.io/HotpotQA is a multi-hop QA dataset, which requires the model to answer questions based on more than one sentence.
BIOASQ6,907 questions and answershttp://participants-area.bioasq.org/tasks/BIOASQ is a QA dataset focused on biomedical information retrieval.
Qangaroo90,000 questions and answershttps://www.microsoft.com/en-us/download/details.aspx?id=54253Qangaroo is a question answering dataset for evaluating open domain QA systems.
TREC5000 questions and answershttps://trec.nist.gov/data/qa.htmlTREC (Text REtrieval Conference) is a benchmark dataset for information retrieval, including question answering.
AI2 Science Questions9,000 questions and answershttps://data.allenai.org/ai2-science-questions/AI2 Science Questions is a QA dataset for answering science questions, collected from elementary and middle school students.
SimpleQuestion2.2 million questions and answershttps://allenai.org/data/simplequestions/SimpleQuestions is a QA dataset based on Freebase, where the questions are open-domain and the answers are entity mentions.
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