背景描述
由复旦大学李荣陆提供。
数据说明
answer.rar为测试语料，共9833篇文档；
train.rar为训练语料，共9804篇文档，分为20个类别。
训练语料和测试语料基本按照1:1的比例来划分。
数据来源
复旦大学计算机信息与技术系国际数据库中心自然语言处理小组
问题描述
适合NLP学习使用
categorised-news-dataset-from-fudan-university.zip
230.7 MB
压缩文件内容
| 文件名 | 文件大小 |
|---|
| Fudan/answer/C3-Art/C3-Art0228.txt | 13.5 KB |
| Fudan/answer/C3-Art/C3-Art0572.txt | 4.6 KB |
| Fudan/answer/C3-Art/C3-Art0214.txt | 16.6 KB |
| Fudan/answer/C3-Art/C3-Art0200.txt | 19.5 KB |
| Fudan/answer/C3-Art/C3-Art0566.txt | 15.8 KB |
| Fudan/answer/C3-Art/C3-Art0994.txt | 11.5 KB |
| Fudan/answer/C3-Art/C3-Art1452.txt | 589.0 Byte |
| Fudan/answer/C3-Art/C3-Art0980.txt | 10.4 KB |
| Fudan/answer/C3-Art/C3-Art1446.txt | 1.1 KB |
| Fudan/answer/C3-Art/C3-Art0770.txt | 12.2 KB |
| Fudan/answer/C3-Art/C3-Art0764.txt | 1.1 KB |
| Fudan/answer/C3-Art/C3-Art0002.txt | 6.8 KB |
| Fudan/answer/C3-Art/C3-Art0837.txt | 10.4 KB |
| Fudan/answer/C3-Art/C3-Art1297.txt | 17.0 KB |
| Fudan/answer/C3-Art/C3-Art1240.txt | 22.2 KB |
| Fudan/answer/C3-Art/C3-Art1254.txt | 8.4 KB |
| Fudan/answer/C3-Art/C3-Art0604.txt | 33.6 KB |
| Fudan/answer/C3-Art/C3-Art0610.txt | 19.2 KB |
| Fudan/answer/C3-Art/C3-Art1268.txt | 17.9 KB |
| Fudan/answer/C3-Art/C3-Art1081.txt | 6.3 KB |
| Fudan/answer/C3-Art/C3-Art0348.txt | 11.5 KB |
| Fudan/answer/C3-Art/C3-Art0406.txt | 6.6 KB |
| Fudan/answer/C3-Art/C3-Art0360.txt | 26.2 KB |
| Fudan/answer/C3-Art/C3-Art0374.txt | 22.4 KB |
| Fudan/answer/C3-Art/C3-Art0412.txt | 20.3 KB |
创始人
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