A dataset of informal query understanding with machine reading comprehension

IQuS is a new dataset in form of MRC with SQuAD-style, which is aimed at reducing the vocabulary gap between user queries and item titles in E-commerce.
The dataset contains 65k informal queries as questions, 420k product descriptions as contents, and 95k item attributes as answers in total.
IQuS has already been split into train/dev/test set.