YelpReviewFull 数据集卡片

数据集概述

Yelp评论数据集包含了来自Yelp的评论数据。该数据集是从Yelp Dataset Challenge 2015数据中提取出来的。

支持的任务和排行榜

• text-classification，sentiment-classification：该数据集主要用于文本分类任务，即给定文本预测情感。

语言

这些评论主要是用英语书写的。

数据集结构

数据实例

一个典型的数据点包括一个文本和相应的标签。

YelpReviewFull测试集中的一个示例如下：

{
    'label': 0,
    'text': 'I got \'new\' tires from them and within two weeks got a flat. I took my car to a local mechanic to see if i could get the hole patched, but they said the reason I had a flat was because the previous patch had blown - WAIT, WHAT? I just got the tire and never needed to have it patched? This was supposed to be a new tire. \\nI took the tire over to Flynn\'s and they told me that someone punctured my tire, then tried to patch it. So there are resentful tire slashers? I find that very unlikely. After arguing with the guy and telling him that his logic was far fetched he said he\'d give me a new tire \\"this time\\". \\nI will never go back to Flynn\'s b/c of the way this guy treated me and the simple fact that they gave me a used tire!'
}

数据字段

• 'text'：评论文本使用双引号（"）进行转义，任何内部的双引号都会使用两个双引号（""）进行转义。换行符会使用反斜杠后跟一个“n”字符进行转义，即"\n"。
• 'label'：对应于评论的评分（介于1到5之间）。

数据拆分

Yelp评论完整星级数据集是通过随机选择每个评分从1到5的130,000个训练样本和10,000个测试样本构成的。总共有650,000个训练样本和50,000个测试样本。

数据集创建

策展理由

Yelp评论完整星级数据集是由Xiang Zhang（xiang.zhang@nyu.edu）从Yelp Dataset Challenge 2015中构建的。首次在以下论文中用作文本分类基准：Xiang Zhang, Junbo Zhao, Yann LeCun. Character-level Convolutional Networks for Text Classification. Advances in Neural Information Processing Systems 28（NIPS 2015）。

数据来源

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注释

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个人和敏感信息

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使用数据的考虑事项

数据集的社会影响

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偏见讨论

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其他已知限制

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附加信息

数据集策展人

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许可信息

您可以检查官方 yelp-dataset-agreement 。

引用信息

Xiang Zhang, Junbo Zhao, Yann LeCun. Character-level Convolutional Networks for Text Classification. Advances in Neural Information Processing Systems 28（NIPS 2015）。

贡献

感谢 @hfawaz 添加了该数据集。