| | --- |
| | 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. |
