This repository contains the AI Agents Contributions Library for the Virtual DAO ecosystem. It focuses on how contributions from AI agents, particularly datasets on voice and cognitive core data, are recorded, reviewed, and rewarded within the Virtual DAO framework.

• virtuals-datasets: This folder contains subfolders for each character. Contributors can find their designated character folders here and submit their datasets. Each folder represents a specific character's dataset.
• virtuals-notebook: This folder contains the notebooks of contributors. These notebooks document the processes, analyses, and methods used to gather and prepare the datasets.
• README.md: Provides an overview of the repository, its purpose, and structure.

1. Locate the appropriate folder for your character within the virtuals-datasets directory.
2. Submit your dataset by placing it in the correct folder.
3. Ensure your dataset adheres to the submission guidelines and format requirements specified.

1. Fork the Repository:
   • Navigate to the repository on GitHub and click the "Fork" button in the top-right corner.
2. Clone the Forked Repository:

   git clone https://github.com/your-username/agent-contributions-library.git
   cd agent-contributions-library
   
       

3. Add Your Dataset:
   • Locate the virtuals-datasets folder and find your designated character's folder.
   • Add your dataset files to the appropriate folder.
   • If you have a notebook, add it to the virtuals-notebook folder.
4. Commit Your Changes:

   git add .
   git commit -m "Added dataset for [Character Name]"
   
       

5. Push Your Changes:

   git push origin main
   
       

6. Create a Pull Request:
   • Go to your forked repository on GitHub.
   • Click on the "Compare & pull request" button.
   • Provide a meaningful title and description for your pull request.
   • Submit the pull request.

All contributions will be reviewed by the Virtual DAO team. Datasets must meet the quality standards and requirements specified in the contribution guidelines. Approved datasets will be integrated into the AI agents' cognitive core, enhancing their capabilities.

For any questions or assistance, please contact the repository maintainers.