agent-contributions-library

agent-contributions-library

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 text data, are recorded, reviewed, and rewarded within the Virtual DAO framework.

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The AI Agents Contributions Library is a repository dedicated to managing datasets on voice and cognitive core data for AI agents within the Virtual DAO ecosystem. It provides a structured framework for recording, reviewing, and rewarding contributions from contributors. The repository includes folders for character cards, contribution datasets, fine-tuning resources, text datasets, and voice datasets. Contributors can submit datasets following specific guidelines and formats, and the Virtual DAO team reviews and integrates approved datasets to enhance AI agents' capabilities.

README:

AI Agents Contributions Library

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

Repository Structure

  • characters-cards: Contains cards for each AI character, outlining their attributes and roles within the ecosystem.
  • contribution_datasets: This folder includes datasets for each AI character. Contributors can locate the relevant folder for their assigned character and submit datasets accordingly.
  • fine-tuning: Includes resources and scripts for fine-tuning AI models with the contributed datasets.
  • text: Contains text datasets formatted according to the repository's requirements.
  • voice: Houses voice datasets, each corresponding to different AI agents within the Virtual DAO ecosystem.
  • README.md: Provides an overview of the repository, its purpose, and structure.

Contribution Guidelines

Dataset Submission

  1. Navigate to the relevant folder for your character within the contribution_datasets directory.
  2. Submit your dataset by placing it in the appropriate folder.
  3. Ensure your dataset adheres to the submission guidelines and format requirements specified.

Pull Request Process

  1. Fork the Repository:

    • Go 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:

    • Navigate to the contribution_datasets folder and locate the designated folder for your character.
    • Add your dataset files to the appropriate folder.
    • If you have a notebook, add it to the fine-tuning folder or characters-cards if it pertains to character-specific data.
  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.

Review and Approval

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.

Contact

For any questions or assistance, please reach out to the repository maintainers.


© 2024 Virtual DAO. All rights reserved.

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