JonaszPotoniec
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README.md
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---
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dataset_info:
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features:
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- name: upvotes
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dtype: int64
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- name: downvotes
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dtype: int64
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- name: joke
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dtype: string
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splits:
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- name: train
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num_bytes:
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num_examples:
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download_size:
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dataset_size:
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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---
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---
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dataset_info:
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features:
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- name: joke
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dtype: string
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- name: upvotes
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dtype: int64
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- name: downvotes
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dtype: int64
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splits:
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- name: train
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num_bytes: 3074127
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num_examples: 9020
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download_size: 2061760
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dataset_size: 3074127
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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license: mit
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task_categories:
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- text-generation
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language:
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- pl
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pretty_name: Dowcipy jaja
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tags:
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- art
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- not-for-all-audiences
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size_categories:
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- 1K<n<10K
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---
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# Dataset consisting of polish jokes
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## 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
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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.
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Default sorting is based on a combination of downvotes and upvotes.
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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.
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## Where to find me
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- [Github](https://github.com/JonaszPotoniec)
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- [Linkedin](https://www.linkedin.com/in/jonasz-potoniec/)
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- [E-mail](mailto:[email protected])
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- [Telegram](https://t.me/JonaszPotoniec)
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