RCV1-2 是一个路透社（Ruters）英文新闻文本及对应新闻类别数据，可用以进行文本分类和其它自然语言处理（NLP）任务。

内有光明网，人民网，腾讯，搜狐等各大网站的新闻python爬虫代码，以及部分以及爬取下来的新闻数据。

头条中文新闻数据集（来源：https://github.com/aceimnorstuvwxz/toutiao-text-classfication-dataset），已按照8:1:1的比例划分为训练集、测试集、验证集，并将格式整理为 新闻内容 + '\t' + 新闻标签 + '\n'的形式，可直接利用AI Studio训练模型

496,835 条来自 AG 新闻语料库 4 大类别超过 2000 个新闻源的新闻文章，数据集仅仅援用了标题和描述字段。每个类别分别拥有 30,000 个训练样本及 1900 个测试样本。 README： AG's News Topic Classification Dataset Version 3, Updated 09/09/2015 ORIGIN AG is a collection of more than 1 million news articles. News articles have been gathered from more than 2000 news sources by ComeToMyHead in more than 1 year of activity. ComeToMyHead is an academic news search engine which has been running since July, 2004. The dataset is provided by the academic comunity for research purposes in data mining (clustering, classification, etc), information retrieval (ranking, search, etc), xml, data compression, data streaming, and any other non-commercial activity. For more information, please refer to the link http://www.di.unipi.it/~gulli/AG_corpus_of_news_articles.html . The AG's news topic classification dataset is constructed by Xiang Zhang (xiang.zhang@nyu.edu) from the dataset above. It is used as a text classification benchmark in the following paper: Xiang Zhang, Junbo Zhao, Yann LeCun. Character-level Convolutional Networks for Text Classification. Advances in Neural Information Processing Systems 28 (NIPS 2015). DESCRIPTION The AG's news topic classification dataset is constructed by choosing 4 largest classes from the original corpus. Each class contains 30,000 training samples and 1,900 testing samples. The total number of training samples is 120,000 and testing 7,600. The file classes.txt contains a list of classes corresponding to each label. The files train.csv and test.csv contain all the training samples as comma-sparated values. There are 3 columns in them, corresponding to class index (1 to 4), title and description. The title and description are escaped using double quotes ("), and any internal double quote is escaped by 2 double quotes (""). New lines are escaped by a backslash followed with an "n" character, that is "\n".

机器学习算法中自然语言处理常用数据集(新闻数据集news.csv)及jieba_dict字典、停用词等相关文件，包括以下文件 data/news.csv jieba_dict/dict.txt.big jieba_dict/stopwords.txt jieba_dict/stopwords_s.txt

其中包含的val（已整理的搜狗实验室新闻文本数据）、stopwords数据来源于网课资源，能够帮助新手尽快完成一次新闻文本分类的实战项目

7万条新闻类新闻未处理数据集 数据来源：爬取的某网站新闻，仅供科研和学习使用，如用于商业后果自。说明一下本身资源需要积分很少，不知道怎么现在变成这么多

有24000条新闻，共六个类别，直接用python3的pickle.load()该文件即可，是一个24000个元素的list，list的每个元素是一个tuple，tuple的第一个元素是与处理好的文本，第二个元素是对应的标签。

RNN、TNN文本分类代码 相关视频见：https://www.bilibili.com/video/BV12Z4y1G71r

来自搜狐网的十类新闻数据，建议用pandas的read_pickle读入。有少量空行数据。使用方法见博客