task_categories:text2text-generation annotations_creators:no-annotation language_creators:machine-generated multilinguality:monolingual language:en license:unknown grug internet greentext region:us
---
annotations_creators:
- no-annotation
language:
- en
language_creators:
- machine-generated
license:
- unknown
multilinguality:
- monolingual
pretty_name: 'Greentext Dataset


  This is content pulled from various archives to create a "greentext bot" or sorts using
  GPT-JT-8Bit. '
size_categories: []
source_datasets: []
tags:
- grug
- internet
- greentext
task_categories:
- text2text-generation
task_ids: []
---


# Greentext Dataset

This is content pulled from various archives to create a "greentext bot" or sorts using GPT-JT. 
Really, just a dumb joke I made with some friends. 

## Biases & Limitations
This dataset contains charaters such as \n and u2019d that need to be filtered out manually.
Needless to say, this dataset contains *many* instances of profanity & biases, as it is trained on data from hell. 
I don't recommend actually using any of this.