Create and manage AI datasets for training models
Display translation benchmark results from NTREX dataset
Browse and search datasets
Create a large, deduplicated dataset for LLM pre-training
Convert PDFs to a dataset and upload to Hugging Face
Colabora para conseguir un Carnaval de Cádiz más accesible
Browse and view Hugging Face datasets
Manage and analyze datasets with AI tools
Build datasets using natural language
Browse and extract data from Hugging Face datasets
Generate dataset for machine learning
Upload files to a Hugging Face repository
Upload files to a Hugging Face repository
Fast is a powerful tool designed for dataset creation and management, specifically tailored for training AI and machine learning models. It simplifies the process of preparing high-quality datasets, enabling users to focus on developing accurate and reliable models. With Fast, you can efficiently create, organize, and manage datasets to fuel your AI projects.
• Data Ingestion: Easily import data from various sources, including files, databases, and cloud storage.
• Data Labeling: Apply labels and annotations to your data for supervised learning tasks.
• Data Validation: Ensure the quality and consistency of your dataset with built-in validation tools.
• Collaboration: Work with teams to manage datasets and track changes in real-time.
• Integration: Seamlessly integrate with popular machine learning frameworks and tools.
• Customization: Define custom workflows and rules to fit your specific dataset needs.
What file formats does Fast support?
Fast supports a wide range of file formats, including CSV, JSON, TIFF, PNG, and more, depending on your data type.
Can I use Fast for real-time data ingestion?
Yes, Fast allows you to ingest data in real-time from databases and streaming sources, making it suitable for dynamic datasets.
Is Fast suitable for large-scale datasets?
Absolutely! Fast is optimized for handling large-scale datasets and can scale with your needs, whether you're working with gigabytes or terabytes of data.