OpenBook QA

Summary

OpenBookQA is a dataset for open book question answering. It consists of 5,957 multiple-choice elementary-level science questions (4,957 train, 500 dev, 500 test), which probe the understanding of a small "book" of 1,326 core science facts. The questions are designed to be solved using the facts in the "book," along with common knowledge.

Size

The dataset contains 5,957 questions in total, divided into 4,957 training questions, 500 development questions, and 500 test questions.

Use cases

OpenBookQA is primarily used for training models in the field of Natural Language Processing (NLP). It can be used to evaluate the ability of models to answer questions based on a given set of facts, making it suitable for research in machine comprehension, reasoning, and other related areas in artificial intelligence.

License

The dataset is licensed under the CC BY-SA 3.0 license. This means that you can share and adapt the material as long as you give appropriate credit, provide a link to the license, and indicate if changes were made. You must distribute your contributions under the same license as the original.