anvie / lamdam

Language Model Dataset Manager

Lamdam

Lamdam (Language Model Dataset Manager) is a web UI tool designed to facilitate the easy management of datasets for LLM (Language Model) training. Built with Next.js 13, NextUI, and Tailwind, Lamdam offers a user-friendly interface with powerful features to streamline dataset management tasks.

Features

• User-friendly Interface: Lamdam provides an intuitive and easy-to-use interface for managing datasets, allowing users to effortlessly organize and manipulate their data.
• Dataset Management: Easily upload, delete, and update datasets with Lamdam. The tool offers seamless navigation and a smooth data management workflow.
• Fast Search: Quickly navigate through vast amounts of data.
• Duplicate & Modify Record: Use existing data to build more variative data.
• User Role Management: Manage user roles and permissions. Track user activity and view revision history.
• Export & Import: You can export or import dataset into json format.
• Revision History: View the modifications to the data and who made them (soon).

Requirements

• NodeJS
• MongoDB

Installation

To get started with Lamdam, follow the steps below:

1. Clone the repository:

   git clone https://github.com/anvie/lamdam.git
   

2. Change into the project directory:

   cd lamdam
   

3. Install project dependencies:

   yarn install
   

4. (Optional) If you want to use Approval Mode, Set this in your .env file:

   ADMIN_EMAIL="[e-mail]"
   NEXT_PUBLIC_APPROVAL_MODE=true
   

   Then run this script below to create the superuser and add default pending status to existing Record(s):

   yarn db:populate
   

5. Start the development server:

   yarn dev
   

6. Access Lamdam in your web browser:

   http://localhost:3000
   

Contributing

Contributions to Lamdam are always welcome. If you find a bug or have a suggestion for a new feature, please open an issue on the GitHub repository.

To contribute code to Lamdam, follow these steps:

1. Fork the repository.

2. Create a new branch:

   git checkout -b feature/your-feature-name
   

3. Add and commit your changes:

   git add .
   git commit -m "Added your feature"
   

4. Push your changes to your fork:

   git push origin feature/your-feature-name
   

5. Open a pull request on the GitHub repository.

License

Lamdam is released under the MIT License. See the LICENSE file for more details.

Acknowledgements

Lamdam was built using the following technologies:

• Next.js
• NextUI
• Tailwind

We would like to express our gratitude to all the contributors of these projects for making Lamdam possible.

Contact

For further information or inquiries, please contact me at @anvie.

License

Licensed under the MIT license.