Upload files to a Hugging Face repository
Clean and process datasets
Find and view synthetic data pipelines on Hugging Face
Validate JSONL format for fine-tuning
Generate synthetic datasets for AI training
Manage and analyze datasets with AI tools
Explore and edit JSON datasets
Manage and label data for machine learning projects
Convert PDFs to a dataset and upload to Hugging Face
Search narrators and view network connections
Create a report in BoAmps format
Speech Corpus Creation Tool
Build datasets and workflows using AI models
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.
• 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.
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.