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: 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: The Daily Mail part of the dataset is approximately 2x larger than the CNN section of the dataset. True or false?
True. The ratio of number of articles from CNN and DailyMail is 1:2.36. Similarly, the ratio of queries from these datasets is given by 380,298:879,450 = 1:2.31. Since 2.31 and 2.36 both round down to 2, the statement is true, approximately.