OpenBookQA is a new kind of question-answering dataset modeled after open book exams for assessing human understanding of a subject. Supported Tasks and ...

OpenBookQA is a new kind of question-answering dataset modeled after open book exams for assessing human understanding of a subject.

29 окт. 2018 г. · This repository provides code for various baseline models reported in the EMNLP-2018 paper introducing the OpenBookQA dataset.

Dataset Card for OpenBookQA Dataset Summary OpenBookQA aims to promote research in advanced question-answering, probing a deeper understanding of both the topic ...

15 дек. 2022 г. · Description: The dataset contains 5,957 4-way multiple choice questions. Additionally, they provide 5,167 crowd-sourced common knowledge facts, ...

Tasks: Question Answering, Modalities: Tabular Text, Formats: parquet, Sub-tasks: open-domain-qa, Languages: English, Size: 10K - 100K

Allen AI dataset for QA, modelled after open book exams.

8 сент. 2018 г. · We present a new kind of question answering dataset, OpenBookQA, modeled after open book exams for assessing human understanding of a subject.

In this project, the goal was to create an Open Book QA-system that will specifically be tailored to answer scientific questions.

OpenBookQA is a new kind of question-answering dataset modeled after open book exams for assessing human understanding of a subject.