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View Code? Open in Web Editor NEWChinese Biomedical Language Understanding Evaluation benchmark (ChineseBLUE)
License: Apache License 2.0
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chenxshuo lingyeyouming tangzy7 tashengjinsheng zhouyongjie ares2013 felixgithub2017 1001yeahstory lindgew sunyilgdx omomomomo shayounala godfatherzzx aolingshuang nwnu-nlp xinzirui zhangjiahuan17 noyce6 denglizong hplegend binkes zzg-971030 aprill23 nlp-forward sataliulan tiffen haojiepan1 nolenhuang yb-z zomun xiaoya-li magichain zqf03118 jiachengnlp shaowen-open neuztb qq345736500 diosguo mrgong1997 lei616 csmust asy246 sjyttkl ccforeverqing yale1417 lishiyu98 iceflowerli wjn1996 xiaozhezju kecenguo escapereality846089495 wonderful23 jaamyang greatheart1000 lomvix cancangit ruibai1999 ruiatelsevier ifairyahri rxma1805 trancywang zl-0105 sinlt marcuslee13 ncepuwz xiong666 antony-zhang tangjiawei777 mhy-u yql210 johnsondiao0521 hawkwoodd jiaxiaoniu hanxuchang gxy837 taozhijiang fengxuefx alexz33 zhengchen6chineseblue's Issues
NER数据结果复现太差
你好，请问大家NER数据的结果能复现出那么高吗？为什么我F1值只有80左右
您好，请问可以说明一下ChineseBLUE收集的数据集来自哪些学术评测任务吗？
如题，观察您收集的数据集有来自CCKS的，也有来自CHIP的。
不太清楚cMedIC来自哪个评测任务。
复现问题
您好，感谢您分享您的工作。我在尝试复现NER任务时，发现F1值在80出头，不知道具体原因。所以想问一下，您这边项目有开源吗？
有huggingface仓库么，你这个pretrain没法用啊，没有词表不说，也只有tf版本的
大佬，没有开源词典
大佬，没有开源词典，我们怎么用你预训练的model呢？
有关于MC-BERT的咨询
where is MC-BERT and the paper for that
thx
您好！请问预训练好的模型是被下掉了吗，为什么找不到了呢
为什么模型下载之后没有词表
为什么模型下载之后没有词表
请问预训练模型，mc_bert是在医疗预料集训练过吗
试了一下，与其他模型结果chinese_wwm_ext_pytorch完全一样，请问是vocab.txt的问题吗
Couldn't find 'checkpoint' file or checkpoints
The version requirements of some libraries for running this code
Could you tell me the version requirement of the libraries (tensorflow, transformer, Keras) for running this code?
Some errors occurred during the running due to the inappropriate version.
感谢！请问能发布下 字典 和 预训练的相关超参数吗？
我想在此基础上接着预训练，请问能发布下 字典 和 预训练 相关超参数吗？
NER任务训练的时候，cEHRNER与cMedQANER两个数据集是如何align实体标签的呢？
你好，NER任务训练使用的两个数据集cEHRNER与cMedQANER，使用的标签体系是不一样的，请问这个在数据预处理的时候，是如何映射到统一的标签的呢？
cEHRNER的实体标签为：
{'疾病和诊断', '影像检查', '实验室检验', '药物', '症状', '手术', '解剖部位'}
cMedQANER的实体标签为：
{'physiology', 'test', 'disease', 'time', 'drug', 'symptom', 'body', 'department', 'crowd', 'feature', 'treatment'}
请问你们这个预训练模型是基于pytorch的还是tensorflow的呢？
这里的cMedQNLI和cMedQA任务有什么不同吗
如题
关于cMedQA数据集标注问题
您好，很感谢您开源的数据集和模型，但是我在下载查看cMedQA数据集时，发现标注的Label大多是不正确的，请问是否数据集存储出现了问题？
ner 数据集存在大量的标注错误的问题
非常感谢提供中文医疗nlp 评测数据集，但是我在观察中发现ner任务中存在很多标注漏了的问题
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