1、斯坦福大学Stanford Sentiment Treebank成为一个标准数据集，又分为两个任务， 一个是二分，6920/872/1821；一个是五分（very negative, negative, neutral, positive, very positive）包含11855个句子和215154个短语的标记（5类）。8544个训练集，1101个验证集和2210个测试集。
2、IMDB：包含10W个评论文本，25000个训练（2类），25000个测试，而且已经均衡处理过的，还有50000个未标注。
3、Yelp：包含business、user、review、tip和checkin信息。
4、Amazon评论
5、SemEval
SemEval2014:
restaurant领域：3842个句子，3041个训练语句，800个测试句子；
laptop领域： 3845个句子，3045个训练，800个测试。
共pos, neg, neu, conflict四类。Tang在其文章中没考虑conflict。
Dataset
Pos.
Neg.
Neu.
Laptop-Train
Laptop-Test
Restaurant-Train
Restaurant-Test
994
341
2164
728
870
128
807
196
464 2328
169 638
637 3608
196 1120
数据示例：
<sentence id="2573"><text>Although we were looking for regular lettuce and some walnuts the salads we got were great.</text><aspectTerms><aspectTerm term="salads" polarity="positive" from="66" to="72"/><aspectTerm term="lettuce" polarity="neutral" from="37" to="44"/><aspectTerm term="walnuts" polarity="neutral" from="54" to="61"/></aspectTerms><aspectCategories><aspectCategory category="food" polarity="positive"/></aspectCategories></sentence>
SemEval2015:
restaurant领域：2000个训练语句(350 reviews), 48个验证句子（10reviews），676个测试句子（90 reviews）；
laptop领域： 2500个训练（450 reviews），55个验证(10 reviews)， 808个测试(80 reviews)。
共pos, neg, neu三类。
rest数据示例：
<span style="font-size:14px;"><Review rid="1028246"><sentences><sentence id="1028246:0"><text>Went on a 3 day oyster binge, with Fish bringing up the closing, and I am so glad this was the place it O trip ended, because it was so great!</text><Opinions><Opinion target="Fish" category="RESTAURANT#GENERAL" polarity="positive" from="35" to="39"/></Opinions></sentence><sentence id="1028246:1"><text>Service was devine, oysters where a sensual as they come, and the price can't be beat!!!</text><Opinions><Opinion target="Service" category="SERVICE#GENERAL" polarity="positive" from="0" to="7"/><Opinion target="oysters" category="FOOD#QUALITY" polarity="positive" from="20" to="27"/><Opinion target="NULL" category="RESTAURANT#PRICES" polarity="positive" from="0" to="0"/></Opinions></sentence><sentence id="1028246:2"><text>You can't go wrong here.</text><Opinions><Opinion target="NULL" category="RESTAURANT#GENERAL" polarity="positive" from="0" to="0"/></Opinions></sentence></sentences></Review></span>laptop数据示例（没有标记aspect term）：
<span style="font-size:14px;"><Review rid="10"><sentences><sentence id="10:0"><text>the laptop was really good and it goes really fast just the way i thought it would of run.</text><Opinions><Opinion category="LAPTOP#GENERAL" polarity="positive"/><Opinion category="LAPTOP#OPERATION_PERFORMANCE" polarity="positive"/></Opinions></sentence><sentence id="10:1"><text>i would really recommend to any person out there to get this laptop cause its really worth it.</text><Opinions><Opinion category="LAPTOP#GENERAL" polarity="positive"/></Opinions></sentence><sentence id="10:2"><text>and its really cheap and you wont regret buying it.</text><Opinions><Opinion category="LAPTOP#PRICE" polarity="positive"/><Opinion category="LAPTOP#GENERAL" polarity="positive"/></Opinions></sentence></sentences></Review></span> 6、Stanford Twitter Sentiment（STS）：包含1.6M个推特（2类），作者随机选择了80K作为训练集，16K作为验证集，498个作为测试机。