Update README.md

README.md

@@ -19,7 +19,8 @@ size_categories:
 
 ### Dataset Summary
 
-The YTTB-VQA Dataset is a collection of high-resolution YouTube thumbnail images across thirteen categories. 
+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
 
@@ -40,8 +41,8 @@ A data instance in this dataset represents entries from a collection augmented b
 **video_id:** a unique string representing a specific YouTube thumbnail image.<br>
 **question:** representing a human-generated question.<br>
 **video_classes:** representing a specific category for the YouTube thumbnail image.<br>
-**answers:** This represents a ground truth answer for the question made about the YouTube thumbnail image.<br>
-
+**answers:** This represents a ground truth answer for the question made about the YouTube thumbnail image.<be>
+**video link** Representing the URL link for each YouTube video.
 
 ### Data Splits
 
@@ -49,65 +50,25 @@ The data are unsplit.
 
 ## Dataset Creation
 
-### Curation Rationale
-
-[More Information Needed]
-
 ### Source Data
 
 #### Initial Data Collection and Normalization
 
-[More Information Needed]
-
-#### Who are the source language producers?
-
-[More Information Needed]
+We randomly selected YouTube videos with text-rich thumbnails from different categories during the data collection. 
+We recorded the unique video ID for each YouTube video and obtained the high-resolution thumbnail from the
+URL ”http://img.youtube.com/vi/<YouTube-Video-ID>/maxresdefault.jpg”. 
 
 ### Annotations
 
 #### Annotation process
 
-[More Information Needed]
-
-#### Who are the annotators?
-
-[More Information Needed]
-
-### Personal and Sensitive Information
-
-[More Information Needed]
+We created the annotation file with the following fields: ”video id,” question,” video classes,” answers,” and ”video link" in JSON format. 
 
 ## Considerations for Using the Data
 
-### Social Impact of Dataset
-
-[More Information Needed]
-
 ### Discussion of Biases
 
-[More Information Needed]
-
-### Other Known Limitations
-
-[More Information Needed]
-
-## Additional Information
-
-### Dataset Curators
-
-[More Information Needed]
-
-### Licensing Information
-
-[More Information Needed]
-
-### Citation Information
-
-[More Information Needed]
-
-### Contributions
-
-[More Information Needed]
+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