Dadada

What is Dadada ?

Dadada is a dataset creation tool designed to simplify the process of uploading and managing files for machine learning projects. It allows users to seamlessly upload their files to a Hugging Face repository, making it easier to organize and share datasets for AI model training.

Features

• File Upload: Supports uploading various file types such as text, images, and CSV.
• Hugging Face Integration: Directly integrates with Hugging Face repositories for streamlined dataset management.
• Dataset Management: Organize datasets with custom naming and tagging options.
• Privacy Controls: Set public or private access for uploaded datasets.
• Collaboration Tools: Share datasets with collaborators using Hugging Face's built-in sharing features.
• Access Controls: Ensure secure access with granular permissions for different users or teams.

How to use Dadada ?

1. Sign Up/Log In: Create an account or log in to your existing account on the Dadada platform.
2. Access Dashboard: Navigate to the dashboard where you can manage your datasets.
3. Select Files: Choose the files you want to upload (e.g., text, images, or CSV).
4. Configure Settings: Set the name, description, and tags for your dataset.
5. Upload to Hugging Face: Click the upload button to transfer your files to your Hugging Face repository.
6. Manage and Share: Once uploaded, manage your datasets and share them with collaborators as needed.

Frequently Asked Questions

What file types does Dadada support?
Dadada supports a wide range of file types, including text, images, CSV, and more, making it versatile for various machine learning projects.

Do I need to register to use Dadada?
Yes, you need to create an account or log in to use Dadada's features and manage your datasets.

Where are my datasets stored?
Your datasets are stored in your Hugging Face repository, ensuring they are accessible and shareable through Hugging Face's platform.