ACL_2023_Human_Study_Adversarial_Text.7z
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https://figshare.com/articles/dataset/ACL_2023_Human_Study_Adversarial_Text_7z/23035472/1
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资源简介：
This data is part of ACL 2023 publication "How do humans perceive adversarial text? A reality check on the validity and naturalness of word-based adversarial attacks". <br> <br> You will find: all_text_adversarial_sentences.csv file that includes 25 283 successful adversarial texts that we generated using 9 attacks from TextFooler library over three sentiment analysis datasets ( IMDB movie reviews, Rotten Tomatoes movie reviews, Yelp polarity service review) questionnaire_answers folder with the survey answers from the participants for each part of the questionnaire.
提供机构：
figshare
创建时间：
2023-05-22
