Build datasets and workflows using AI models
Organize and process datasets for AI models
Upload files to a Hugging Face repository
A collection of parsers for LLM benchmark datasets
Browse a list of machine learning datasets
Convert PDFs to a dataset and upload to Hugging Face
Display html
Annotation Tool
Label data for machine learning models
Create and validate structured metadata for datasets
Build datasets using natural language
Evaluate evaluators in Grounded Question Answering
Fast is a tool designed for Dataset Creation, focusing on streamlining and enhancing the process of generating high-quality datasets. It provides an efficient and intuitive platform to collect, annotate, and manage data, catering to the needs of machine learning professionals and data scientists.
• Data Collection Automation: Simplify data gathering from multiple sources with automated tools.
• Advanced Annotation Tools: Utilize robust labeling features for precise dataset creation.
• Integration with ML Frameworks: Compatible with popular machine learning libraries for seamless workflow.
• Scalability: Handle large datasets with ease, ensuring performance at scale.
• Customization: Tailor dataset creation to specific project requirements.
• Team Collaboration: Invite team members to collaborate in real-time.
What is Fast used for?
Fast is used for efficient dataset creation, enabling users to collect, annotate, and manage data for machine learning models.
Who is Fast intended for?
Fast is primarily designed for machine learning professionals, data scientists, and researchers who need high-quality datasets for training models.
How do I get support for Fast?
Reach out to the Fast support team through their official website or contact their customer service for assistance.