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Title: GitHub - CLUEbenchmark/DataCLUE: DataCLUE: 数据为中心的NLP基准和工具包 · GitHub

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Description: DataCLUE: 数据为中心的NLP基准和工具包. Contribute to CLUEbenchmark/DataCLUE development by creating an account on GitHub.

Open Graph Description: DataCLUE: 数据为中心的NLP基准和工具包. Contribute to CLUEbenchmark/DataCLUE development by creating an account on GitHub.

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setup.pyhttps://github.com/CLUEbenchmark/DataCLUE/blob/master/setup.py
READMEhttps://github.com/CLUEbenchmark/DataCLUE
DataCLUE: A Benchmark Suite for Data-centric NLPhttps://arxiv.org/abs/2111.08647
https://github.com/CLUEbenchmark/DataCLUE#dataclue-a-benchmark-suite-for-data-centric-nlp
READMEhttps://github.com/CLUEbenchmark/DataCLUE/blob/master/README_en.md
DataCLUE介绍文章.中文版https://docs.qq.com/doc/p/51a1f46f64a72bc2ac0633427dc59d6e8d1b8d0a?dver=2.1.27277463
https://github.com/CLUEbenchmark/DataCLUE#dataclue介绍文章中文版
https://github.com/CLUEbenchmark/DataCLUE#内容导引
简介https://github.com/CLUEbenchmark/DataCLUE#%E7%AE%80%E4%BB%8B
任务描述https://github.com/CLUEbenchmark/DataCLUE#%E4%BB%BB%E5%8A%A1%E6%8F%8F%E8%BF%B0
实验结果https://github.com/CLUEbenchmark/DataCLUE#%E5%AE%9E%E9%AA%8C%E7%BB%93%E6%9E%9C
实验分析https://github.com/CLUEbenchmark/DataCLUE#%E5%AE%9E%E9%AA%8C%E5%88%86%E6%9E%90
数据为中心的AI_方法论介绍https://github.com/CLUEbenchmark/DataCLUE#%E6%95%B0%E6%8D%AE%E4%B8%BA%E4%B8%AD%E5%BF%83%E7%9A%84AI-%E6%96%B9%E6%B3%95%E8%AE%BA%E4%BB%8B%E7%BB%8D
DataCLUE有什么特点https://github.com/CLUEbenchmark/DataCLUE#DataCLUE%E6%9C%89%E4%BB%80%E4%B9%88%E7%89%B9%E7%82%B9
基线模型及运行https://github.com/CLUEbenchmark/DataCLUE#%E5%9F%BA%E7%BA%BF%E6%A8%A1%E5%9E%8B%E5%8F%8A%E8%BF%90%E8%A1%8C
DataCLUE测评及规则https://github.com/CLUEbenchmark/DataCLUE#DataCLUE%E6%B5%8B%E8%AF%84%E5%8F%8A%E8%A7%84%E5%88%99
数据集介绍https://github.com/CLUEbenchmark/DataCLUE#%E6%95%B0%E6%8D%AE%E9%9B%86%E4%BB%8B%E7%BB%8D
工具集介绍https://github.com/CLUEbenchmark/DataCLUE#%E5%B7%A5%E5%85%B7%E9%9B%86%E4%BB%8B%E7%BB%8D
学习资料https://github.com/CLUEbenchmark/DataCLUE#%E5%AD%A6%E4%B9%A0%E8%B5%84%E6%96%99
联系方式与引用https://github.com/CLUEbenchmark/DataCLUE#%E8%B4%A1%E7%8C%AE%E4%B8%8E%E5%8F%82%E4%B8%8E
https://github.com/CLUEbenchmark/DataCLUE#update
https://github.com/CLUEbenchmark/DataCLUE#简介
https://github.com/CLUEbenchmark/DataCLUE#dataclue测评重要更新
https://github.com/CLUEbenchmark/DataCLUE#任务描述
https://github.com/CLUEbenchmark/DataCLUE#任务描述和统计
https://github.com/CLUEbenchmark/DataCLUE#改进数据集的baselines
baseline代码和说明https://github.com/CLUEbenchmark/DataCLUE/blob/master/baselines
单策略模型https://github.com/CLUEbenchmark/DataCLUE/blob/master/baselines/single
多策略模型https://github.com/CLUEbenchmark/DataCLUE/blob/master/baselines/multi
贡献自己的方法https://github.com/CLUEbenchmark/DataCLUE/blob/master/baselines/CONTRIBUTING.md
https://github.com/CLUEbenchmark/DataCLUE#工具集dckit介绍
DataCLUE Toolkit (dckit)https://github.com/CLUEbenchmark/DataCLUE/blob/master/dckit
https://github.com/CLUEbenchmark/DataCLUE#安装
https://github.com/CLUEbenchmark/DataCLUE#使用
https://github.com/CLUEbenchmark/DataCLUE#实验结果
RoBERTa_3L_wwmhttps://github.com/ymcui/Chinese-BERT-wwm#%E4%B8%AD%E6%96%87%E6%A8%A1%E5%9E%8B%E4%B8%8B%E8%BD%BD
https://github.com/CLUEbenchmark/DataCLUE/blob/master/resources/img/improve.jpeg
单策略结果总结https://github.com/CLUEbenchmark/DataCLUE/blob/master/baselines/single/README.md
多策略结果总结https://github.com/CLUEbenchmark/DataCLUE/blob/master/baselines/multi/README.md
https://github.com/CLUEbenchmark/DataCLUE#数据为中心的ai-方法论介绍
https://github.com/CLUEbenchmark/DataCLUE/blob/master/resources/img/lifec.jpeg
https://github.com/CLUEbenchmark/DataCLUE/blob/master/resources/img/takeaway2.jpeg
https://github.com/CLUEbenchmark/DataCLUE#dataclue有什么特点
https://github.com/CLUEbenchmark/DataCLUE#基线模型及运行
https://github.com/CLUEbenchmark/DataCLUE#一键运行基线模型与代码-baseline-with-codes
colab链接https://colab.research.google.com/drive/1NSoVeuiggRTfLP37Np6mFdbo8kjYWapZ?usp=sharing
https://github.com/CLUEbenchmark/DataCLUE#dataclue测评及规则
https://github.com/CLUEbenchmark/DataCLUE#1测评方式
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提交样例https://github.com/CLUEbenchmark/DataCLUE/blob/master/resources/dataclue_submit_examples/dataclue_submit_examples.zip
https://github.com/CLUEbenchmark/DataCLUE#2测评规则
https://github.com/CLUEbenchmark/DataCLUE#11-可以对训练集验证集进行修改输入文本或标签或者移动训练集和验证集建的数据
https://github.com/CLUEbenchmark/DataCLUE#12-可以通过非爬虫类手段增加数据来完善训练和验证集增加数据方式包括但不限于数据增强文本生成结合分析定向生成或添加
https://github.com/CLUEbenchmark/DataCLUE#13-可以通过算法或程序或者结合人工的方式来改进数据集
https://github.com/CLUEbenchmark/DataCLUE#21-鼓励通过结合算法模型和程序来改进数据集也同样鼓励算法模型结合人工进行数据改进但纯人工方式的数据改进评审环节将不得分
https://github.com/CLUEbenchmark/DataCLUE#22-数据量限制训练集和验证集的总数据量不能超过3万个样本
https://github.com/CLUEbenchmark/DataCLUE#4自测脚本f1-score
https://github.com/CLUEbenchmark/DataCLUE#数据集介绍
https://github.com/CLUEbenchmark/DataCLUE#单句子数据集
https://github.com/CLUEbenchmark/DataCLUE#句子对数据集
QBQTC QQ浏览器搜索相关性数据集(QBQTC,QQ Browser Query Title Corpus)https://github.com/CLUEbenchmark/QBQTC
https://github.com/CLUEbenchmark/DataCLUE#学习资料
吴恩达新课:从以模型为中心到以数据为中心的AI(1小时)https://www.bilibili.com/video/av587353739/
https://github.com/CLUEbenchmark/DataCLUE#联系方式与引用
https://github.com/CLUEbenchmark/DataCLUE/blob/master/resources/img/bxu.jpg
arxiv.org/abs/2111.08647https://arxiv.org/abs/2111.08647
nlp https://github.com/topics/nlp
ai https://github.com/topics/ai
chinese https://github.com/topics/chinese
classification-algorithm https://github.com/topics/classification-algorithm
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