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  pretty_name: AI Outlook prompts
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  ---
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- # Prompts from ai-outlook add-in
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- These prompts are coming from https://github.com/sctg-development/ai-outlook
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  pretty_name: AI Outlook prompts
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  ---
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+ # AI Prompts Dataset
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+ A collection of carefully crafted AI prompts used in the AI Outlook Add-in, designed to enhance email communication and assist in software development tasks.
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+ ## Overview
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+ This dataset contains a variety of AI prompts originally developed for the [AI Outlook Add-in](https://github.com/sctg-development/ai-outlook). These prompts are intended to guide AI language models in tasks such as improving email drafts, translating text, summarizing content, drafting professional correspondence, and assisting with code review and optimization.
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+
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+ ## Contents
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+ The dataset includes prompts covering the following categories:
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+ - **Email Enhancement**: Improve the language, tone, and clarity of email drafts in English and French.
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+ - **Translation**: Accurately translate text while maintaining the original meaning, tone, and context.
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+ - **Summarization**: Summarize complex emails or web pages into clear, concise bullet-point formats.
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+ - **Professional Correspondence**: Draft polite and professional emails for various scenarios, including declining invitations, requesting meetings, and following up on communications.
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+ - **Code Assistance**: Review code for quality, performance optimization, and security vulnerabilities; add meaningful comments; and create clear documentation.
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+
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+ ## Dataset Structure
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+ Each prompt in the dataset includes the following fields:
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+ - `id`: A unique identifier for the prompt.
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+ - `system`: Instructions provided to the AI model to set the context and specify the task.
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+ - `user`: A template or example of user input that accompanies the system prompt.
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+ - `summary`: A brief summary of the prompt's purpose.
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+
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+ ## Usage
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+ You can load the dataset using the Hugging Face `datasets` library:
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+ ```python
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+ from datasets import load_dataset
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+ dataset = load_dataset("eltorio/ai-prompts")
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+ ```
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+
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+ ## License
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+ This dataset is licensed under the [GNU Affero General Public License v3.0 (AGPLv3)](https://www.gnu.org/licenses/agpl-3.0.en.html), the same license as the AI Outlook Add-in.
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+
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+ ## Author
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+ - **Ronan Le Meillat**
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+ - Company: SCTG Development
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+ - GitHub: [sctg-development](https://github.com/sctg-development/)
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+
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+ ## Acknowledgments
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+ - [AI Outlook Add-in](https://github.com/sctg-development/ai-outlook): The source of the prompts in this dataset.
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+ ## Citation
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+ If you use this dataset, please cite it as follows:
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+ ```bibtex
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+ @dataset{le_meillat_ai_prompts_2024,
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+ author = {Le Meillat, Ronan},
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+ title = {AI Prompts Dataset},
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+ year = {2024},
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+ publisher = {Hugging Face},
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+ url = {https://huggingface.co/datasets/eltorio/ai-prompts},
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+ note = {Dataset of AI prompts for enhancing email communication and software development tasks},
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+ }
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+ ```