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fastNLP/reproduction/sequence_labelling/chinese_ner
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readme.md

使用以下中文NERPipe自动下载的统计数据

MsraNERPipe # of sents # of tokens
train 41747 1954374
dev 4617 215505
test 4365 172601
total 50729 2342480
这里报道的统计数据，与https://arxiv.org/pdf/1805.02023.pdf报道的一致
WeiboNERPipe # of sents # of tokens
train 1350 73778
dev 270 14509
test 270 14842
total 1890 1890
这里报道的统计数据与https://www.cs.cmu.edu/~ark/EMNLP-2015/proceedings/EMNLP/pdf/EMNLP064.pdf一致
PeopleDailyPipe # of sents # of tokens
train 50658 2169879
dev 4631 172601
test 68 2270
total 55357 2344750
这里使用的数据与https://arxiv.org/pdf/1906.08101.pdf的数据是一致的
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一款轻量级的自然语言处理（NLP）工具包，目标是减少用户项目中的工程型代码，例如数据处理循环、训练循环、多卡运行等

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