文档中包含网盘的地址，数据共319M NLP方向文本摘要，文本分类，等方向可采纳！ The LCSTS dataset includes two parts: /DATA: 1. PART I: is the main contents of LCSTS that contains 2,400,591 (short text, summary) pairs. It can be used to train supervised learning models for summary generation. 2. PART II: contains 10,666 human labled (short text, summary) pairs which can be used to train classifier to filter the noises of the PART I. 3. PART III: contains 1,106 (short text, summary) pairs, this part is labled by 3 persons with the same labels. These pairs with score 3,4 and 5 can be used as test set for evaluating summary generation systems. /Result: 1.sumary.generated.char.context.txt: contains the summary generated by using RNN+context on the character based input. 2.sumary.generated.char.nocontext.txt: contains the summary generated by using RNN+nocontext on the character based input. 3.sumary.generated.word.context.txt: contains the summary generated by using RNN+context on the word based input. 4.sumary.generated.word.nocontext.txt: contains the summary generated by using RNN+nocontext on the word based input. 5.weibo.txt: contains the weibo of the test set. 6.sumary.human: contains the sumaries corresponding to 'weibo.txt' written by human. This part is the test set of the paper. 7. rouge.char_context.txt: the rouge metric on sumary.generated.char.context 8. rouge.char_nocontext.txt:the rouge metric on sumary.generated.char.nocontext 9. rouge.word_context.txt: the rouge metric on sumary.generated.word.context 10. rouge.word_nocontext.txt:the rouge metric on sumary.generated.word.nocontext