---
license: cc0-1.0
language:
- en
- fr
- tr
tags:
- art
- emoji
- brainrot
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*

## Shoutouts 🔊
- Subscribe to [FaceDev](https://youtube.com/@FaceDevStuff) (not sponsored, just cool)
- Join my Discord Server: [PingVortex Discord](https://discord.gg/At3CcCqcR2)

*"12 millions view 😂😂😂 good god 🤦‍♂️" - Anonymous YouTube Shorts Kid*