Update README.md

README.md

@@ -18,9 +18,7 @@ Note: incomplete dataset (~25 missing), use with cautions.
 
 <!-- Provide a quick summary of the dataset. -->
 
-Yandere2023 is a large-scale anime image dataset with over 1.2 million images contributed and annotated in detail by an enthusiast community. Image tags cover aspects like characters, scenes, copyrights, artists, etc with an average of 12 tags per image.
-
-Yandere is a veteran anime image board with high-quality images and extensive tag metadata. The dataset can be used to train image classification, multi-label tagging, character detection, generative models, and other computer vision tasks.
+Yandere2023 is a comprehensive anime image dataset featuring over 1.2 million high-quality images sourced from various materials, including key frames, manga scans, artbooks, and more. While the average number of tags per image is relatively low, the dataset boasts a diverse collection of images with exceptional quality.
 
 - **Shared by:** Nyanko Devs
 - **Language(s):** English, Japanese
@@ -51,8 +49,4 @@ $ tree / | less
 │   │   │   ├── 3120001.webp
 │   │   │   ├── 6513001.jpg
 
-```
-          
-Currently represented file extensions are: avi/bmp/gif/html/jpeg/jpg/mp3/mp4/mpg/pdf/png/rar/swf/webm/wmv/zip. 
-
-Raw original files are treacherous. Be careful if working with the original dataset. There are many odd files: truncated, non-sRGB colorspace, wrong file extensions etc.
+```