Machine Reading Comprehension (MRC) has become enormously popular recently
and has attracted a lot of attention. However, existing reading comprehension
datasets are mostly in English. To add diversity in reading comprehension
datasets, in this paper we propose a new Chinese reading comprehension dataset
for accelerating related research in the community. The proposed dataset
contains two different types: cloze-style reading comprehension and user query
reading comprehension, associated with large-scale training data as well as
human-annotated validation and hidden test set. Along with this dataset, we
also hosted the first Evaluation on Chinese Machine Reading Comprehension
(CMRC-2017) and successfully attracted tens of participants, which suggest the
potential impact of this dataset.

本文提出了一种新的中文阅读理解数据集 —— 包括选择题和用户问题阅读理解，并且是人工验证和隐藏测试集的大规模训练数据。同时，还举办了首届中文机器阅读理解评估（CMRC-2017），成功吸引了数十名参与者。