You will be shown an excerpt from a computer science scientific research paper, followed by a question about the paper. Please answer the question. Do not include any text in your response other than the answer.

Context: In this work we seek to directly address the lack of real natural languagetraining data by introducing a novel approach to building a supervised readingcomprehension data set. We observe that summary and paraphrase sentences, withtheir associated documents, can be readily converted to context–query–answertriples using simple entity detection and anonymisation algorithms.Using this approach we have collected two new corpora of roughly a million newsstories with associated queries from the CNN and Daily Mail websites. Here we propose a methodology for creating real-world, large scale supervisedtraining data for learning reading comprehension models. Inspired by work insummarisation [10, 11], we create two machinereading corpora by exploiting online newspaper articles and their matchingsummaries. We have collected 93k articles from the CNN111www.cnn.com and 220k articles fromthe Daily Mail222www.dailymail.co.uk websites. Both news providers supplement their articles with anumber of bullet points, summarising aspects of the information contained in thearticle. Of key importance is that these summary points are abstractive and donot simply copy sentences from the documents.We construct a corpus of document–query–answer triples by turning thesebullet points into Cloze [12] style questions by replacingone entity at a time with a placeholder. This results in a combined corpus ofroughly 1M data points (Table 1).Code to replicate our datasets—and to apply this method to other sources—isavailable online333http://www.github.com/deepmind/rc-data/.

Question: Where do the authors source their labelled dataset from?
The source of the labelled dataset in the paper is two news websites, namely, CNN and Daily News. The authors created the dataset of approximately one million data points from ~93k CNN and ~220k Daily Mail online news articles.