Question Answering Datasets

Question answering is a natural language processing task that answers questions based on a given context. This is an important task in natural language processing that is used in many applications, such as search, customer support, and chatbots.

Displaying Page 16 of 19 (182 total Repositories)

OpenBookQA aims to promote research in advanced question-answering, probing a deeper understanding of both the topic (with salient facts summarized as an open book, also provided with the dataset) and the language it is expressed in. In particular, it contains questions that require multi-step reasoning, use of additional common and commonsense knowledge, and rich text comprehension.

GSM8K (Grade School Math 8K) is a dataset of 8.5K high quality linguistically diverse grade school math word problems. The dataset was created to support the task of question answering on basic mathematical problems that require multi-step reasoning.