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license: cc-by-4.0
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# Dataset Card for Dataset Name

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This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).

## Dataset Details

### Dataset Description

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# CleanComedy

Humour generation is a challenging task in natural language processing due to limited resources and the quality of existing datasets. Available humour language resources often suffer from toxicity and duplication, limiting their effectiveness for training robust models. In this paper, we present CleanComedy, a specialised, partially annotated corpus, which includes jokes in English and Russian languages. The dataset is a filtered collection of existing sources, where toxic jokes and duplicates are removed with various algorithmic filters. The end quality of the dataset is validated with human assessment. We also present subjective human  humour score annotation for 1,000 Russian and 1,000 English jokes providing detailed, ethical and comprehensive dataset for humour detection and generation tasks.


- **Curated by:** Dmitry Vikhorev, Daria Galimzianova, Svetlana Gorovaia, Elizaveta Zhemchuzhina, Ivan P. Yamshchikov
- **Language(s) (NLP):** English, Russian
- **License:** CC-BY-4.0

### Dataset Sources [optional]

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- **Repository:** (https://github.com/gorovuha/CleanComedy)
- **Paper [optional]:** [CleanComedy: Creating Friendly Humor through Generative Techniques](https://arxiv.org/pdf/2412.09203)

## Dataset Structure

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### CleanComedy English 
Ethical filtered jokes with 2-scale score 
44,481 instances

### CleanComedy English Gold 
Ethical filtered jokes with human humour 5-scale score
1,000 instances

### CleanComedy Russian 
Ethical filtered jokes with 2-scale score 
40,926 instances


### CleanComedy Russian Gold 
Ethical filtered jokes with human humour 5-scale score
1,000 instances

**BibTeX:**

@misc{vikhorev2024cleancomedycreatingfriendlyhumor,
      title={CleanComedy: Creating Friendly Humor through Generative Techniques}, 
      author={Dmitry Vikhorev and Daria Galimzianova and Svetlana Gorovaia and Elizaveta Zhemchuzhina and Ivan P. Yamshchikov},
      year={2024},
      eprint={2412.09203},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2412.09203}, 
}