---
dataset_info:
  features:
  - name: joke
    dtype: string
  - name: upvotes
    dtype: int64
  - name: downvotes
    dtype: int64
  splits:
  - name: train
    num_bytes: 3074127
    num_examples: 9020
  download_size: 2061760
  dataset_size: 3074127
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: mit
task_categories:
- text-generation
language:
- pl
pretty_name: Dowcipy jaja
tags:
- art
size_categories:
- 1K<n<10K
---

# Dataset consisting of polish jokes
## Warning: Jokes were not curated, some may be offensive, stupid or simply not funny. It's highly recommended to filter jokes before training, e.g., based on downvotes

This dataset consists of all (9k) jokes dumped from [jeja.pl](https://dowcipy.jeja.pl/) on 2024-02-14. Jokes are submitted by the community. Besides _the funny_ text itself, I included upvotes and downvotes. You can use them for filtering.  
Default sorting is based on a combination of downvotes and upvotes.  
If used for training LLMs, it's recommended to use a tokenizer that supports line breaks, as these are often important for readability of the jokes.


## Where to find me

- [Github](https://github.com/JonaszPotoniec)
- [Linkedin](https://www.linkedin.com/in/jonasz-potoniec/)
- [E-mail](mailto:jonasz@potoniec.eu)
- [Telegram](https://t.me/JonaszPotoniec)