Upload files to a Hugging Face repository
Label data for machine learning models
ReWrite datasets with a text instruction
Train a model using custom data
Download datasets from a URL
Display translation benchmark results from NTREX dataset
Convert a model to Safetensors and open a PR
Search and find similar datasets
Access NLPre-PL dataset and pre-trained models
Display trending datasets and spaces
Manage and label datasets for your projects
Manage and orchestrate AI workflows and datasets
Dadada is a tool designed for dataset creation and management, specifically optimized for uploading files to Hugging Face repositories. It simplifies the process of organizing, storing, and sharing datasets, making it easier for researchers and developers to collaborate on machine learning projects.
• Integration with Hugging Face Hub: Directly upload datasets to Hugging Face repositories. • File Management: Organize and store datasets in a structured and accessible format. • Collaboration Support: Share datasets with team members or the public. • Customizable Metadata: Add descriptions, tags, and other metadata to datasets for better organization. • Version Control: Track changes and manage different versions of datasets.
What is the maximum file size I can upload?
The maximum file size for uploads depends on your Hugging Face Hub account limits. Free accounts typically have a 5 GB storage limit.
Can I upload multiple files at once?
Yes, Dadada supports batch uploads, allowing you to upload multiple files simultaneously.
How do I share my dataset with others?
You can share your dataset by making it public on Hugging Face Hub or by inviting collaborators via email.