This repository contains dataset for the AAAI 2019 paper "Towards Personalized Review Summarization via User-aware Sequence Network". Download our dataset from https://pan.baidu.com/s/1RaxG2AgnoQBba4eM-s9H3w with password "lzyl". train.txt, test.txt, dev.txt represent training set, testing set and development set. Each line in each file is a sample. Each line makes up of 4 elements, which are split by "\t\t". Element 1 is the user ID, element 2 is the overall rating (which is not used in this paper), element 3 is the review content and element 4 is the summary of the review. For example, the first line in test.txt is "091E14185DDFFAB23D5AA886EB57FC20 the crawford is a strange hotel .<sssss> it is a trendy boutique hotel in the union station .<sssss> they only have a front desk and then their rooms - no lounge , no business center , no nothing .<sssss> the rooms are new and a bit trendy , somewhat small .<sssss> good beds .<sssss> good a/c .<sssss> nice bathroom with all the amenities that you need .<sssss> high-speed wifi that they charge you for .<sssss> i had room 324 and then all guests to the copper lounge passed outside my door , being very loud well after midnight .<sssss> it was extremely noisy .<sssss> it would have been easy for the hotel to have sound-proofed doors for the rooms having this kind of location in the hotel .<sssss> room service woke me up at 08:45 despite that i had put out the `` no disturbance '' sign and that i was checking out the same day. extremely noisy - avoid this hotel ." user ID --> 091E14185DDFFAB23D5AA886EB57FC20 review content --> the crawford is a strange hotel...... summary --> extremely noisy - avoid this hotel .