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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: 3068785
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- num_examples: 9000
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- download_size: 2059878
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- dataset_size: 3068785
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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:
11
  - 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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+
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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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+
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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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+
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+
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+ ## Where to find me
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+
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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)