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--- |
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license: mit |
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datasets: |
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- zachgitt/comedy-transcripts |
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language: |
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- en |
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pipeline_tag: text2text-generation |
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library_name: transformers |
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--- |
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# Stand-Up Comic Assistant Model |
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## Model Description |
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This model is designed as an assistant for stand-up comedians, providing suggestions, ideas, and content generation to support the creative process. It's trained on a diverse set of comedy transcripts, aiming to capture the essence of humor from various styles and contexts. |
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### How It Works |
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The model is based on `google/flan-t5-small`, a powerful and efficient transformer model optimized for language understanding and generation tasks. It has been fine-tuned on the `zachgitt/comedy-transcripts` dataset, which includes a wide range of stand-up comedy routines. |
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### Intended Use |
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- **Idea Generation**: Generate prompts or comedy concepts based on current trends, historical events, or user input. |
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- **Content Creation**: Assist in writing jokes, sketches, or full stand-up routines. |
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- **Interactive Comedy**: Engage with users by providing humorous responses in a conversational setting. |
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## Training |
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The model was trained using the `transformers` library on a dataset of stand-up comedy transcripts. The training process focused on understanding context, delivering punchlines, and preserving the comedic timing that's essential in stand-up comedy. |
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### Training Data |
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The dataset `zachgitt/comedy-transcripts` was used, which includes transcripts from various comedians across different eras of stand-up comedy. |
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## Limitations and Biases |
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- **Contextual Limitations**: While the model understands a range of comedic styles, it may not always align with the nuances of personal taste in humor. |
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- **Cultural Sensitivity**: The dataset includes historical content that may not be suitable or sensitive to current cultural contexts. |
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- **Language Biases**: The model may reflect biases present in the training data, which consists of primarily English-language comedy routines. |
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## Future Work |
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This model is a work in progress. Planned improvements include: |
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- Expanding the dataset with more diverse and contemporary sources. |
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- Implementing feedback loops to refine the model's sense of humor based on user interactions. |
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- Enhancing the model's understanding of different comedic devices like satire, irony, and slapstick. |
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## Acknowledgements |
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Thanks to all the contributors of the `zachgitt/comedy-transcripts` dataset and the teams behind `google/flan-t5-small` for providing the foundational models and tools that made this project possible. |
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**Disclaimer**: This model is intended for creative and entertainment purposes. It should be used responsibly, considering the potential for generating content that may be offensive or inappropriate in certain contexts. |
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