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mlpc-lab
/

YTTB-VQA

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Visual Question Answering

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jerryli1019 commited on Nov 19, 2023

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@@ -19,8 +19,8 @@ license: cc-by-nc-4.0
 ### Dataset Summary
-The YTTB-VQA Dataset is a collection of 100 Youtube thumbnail question-answer pairs to evaluate the visual perception abilities of in-text images. It covers 13
-categories, including technology, sports, entertainment, movies, music, food, history, etc.
 ### Supported Tasks and Leaderboards
@@ -71,7 +71,7 @@ We created the annotation file with the following fields: ”video id,” questi
 ### Discussion of Biases
-Although our dataset spans 13 categories, the ratio within each category varies. For example, 18% of the dataset pertains to sports, while only 3% is dedicated to movies.
 ### Acknowledgments

 ### Dataset Summary
+The YTTB-VQA Dataset is a collection of 400 Youtube thumbnail question-answer pairs to evaluate the visual perception abilities of in-text images. It covers 11
+categories, including technology, sports, entertainment, food, news, history, music, nature, cars, and education.
 ### Supported Tasks and Leaderboards
 ### Discussion of Biases
+Although our dataset spans 11 categories, the ratio within each category varies. For example, 18% of the dataset pertains to education, while only 2% is dedicated to news.
 ### Acknowledgments