NewsQA

The NewsQA dataset is a crowd-sourced machine reading comprehension dataset of 120,000 question-answer pairs.

• Documents are CNN news articles.
• Questions are written by human users in natural language.
• Answers may be multiword passages of the source text.
• Questions may be unanswerable.
• NewsQA is collected using a 3-stage, siloed process.
• Questioners see only an article’s headline and highlights.
• Answerers see the question and the full article, then select an answer passage.
• Validators see the article, the question, and a set of answers that they rank.
• NewsQA is more natural and more challenging than previous datasets.

Source: https://www.microsoft.com/en-us/research/project/newsqa-dataset/ Image Source: Trischler et al