Update README.md

README.md

@@ -12,40 +12,11 @@ pretty_name: Youtube shorts comments dataset
 size_categories:
 - 100K<n<1M
 ---
-# YouTube Shorts Comments Dataset
 
-Acollection of **1.4M+ comments** scraped from YouTube Shorts - a mix of brainrot, emoji spam, and English, Turkish, French, and unidentifiable langauges. Perfect for NLP experiments, meme research, or just laughing at internet absurdity.
-
-- Inspired from htmx (Idk how to call him lmao)
 - [Fine-tuned distilgpt2 on this dataset](https://huggingface.co/PingVortex/Youtube-shorts-comment-generator)
 
-## Facts 🤔
-- I calculated that average amount of emojis in a YouTube short comment is 4.59
-- Sources: This dataset, Python script
-
-## Dataset Details 🔍
-- **Rows**: 1,475,500 comments
-- **Original Size**: 105 MB (raw)
-- **Parquet Size**: 41 MB (optimized)
-- **Sample Content**: Emoji storms, random links, broken English etc.
-
-## Fields 📋
-Single column:  
-`text` (string) - The raw comment text with emojis/links
-
-## Suggested Uses 🤖
-- Emoji frequency analysis
-- Short-form text classification
-- Internet culture studies
-- Training a "cursed" language model
-- Measuring how many 😂 fit in one comment
-
-## License 📜
-**CC0 1.0 Universal** (Public Domain)  
-*Do whatever you want - no attribution required*
+- The average amount of emojis in a YouTube short comment is 4.59 (Based on this dataset)
 
-## Shoutouts 🔊
-- Subscribe to [FaceDev](https://youtube.com/@FaceDevStuff) (not sponsored, just cool)
-- Join my Discord Server: [PingVortex Discord](https://discord.gg/At3CcCqcR2)
+- Join my Discord Server: [PingVortex Discord](https://discord.gg/5SzkjVJBs2)
 
-*"12 millions view 😂😂😂 good god 🤦‍♂️" - Anonymous YouTube Shorts Kid*
+12 millions view 😂😂😂 good god 🤦‍♂️