Launch and explore labeled datasets
ReWrite datasets with a text instruction
Evaluate evaluators in Grounded Question Answering
Access NLPre-PL dataset and pre-trained models
Convert PDFs to a dataset and upload to Hugging Face
Convert and PR models to Safetensors
Explore and manage datasets for machine learning
Organize and process datasets using AI
Build datasets using natural language
Organize and process datasets for AI models
Train a model using custom data
Upload files to a Hugging Face repository
Manage and analyze labeled datasets
CSQA is a powerful tool designed for dataset creation and exploration. It enables users to launch and explore labeled datasets efficiently, making it an essential solution for data preparation and AI/ML workflows. With CSQA, users can streamline the dataset lifecycle, from creation to analysis, ensuring high-quality data for their projects.
• Dataset Management: Easily organize and manage labeled datasets for various projects.
• Advanced Filtering: Quickly filter datasets based on specific criteria to focus on relevant data.
• Visual Exploration: Gain insights through interactive visualizations of dataset content.
• Version Control: Track changes and maintain different versions of your datasets.
• Collaboration Support: Share and collaborate on datasets with team members seamlessly.
What datasets can I use with CSQA?
CSQA supports a wide range of dataset formats, including CSV, JSON, and image-based datasets. It is compatible with most common data types used in AI and machine learning workflows.
Can I collaborate with others in real-time?
Yes, CSQA offers real-time collaboration features, allowing multiple users to work on the same dataset simultaneously. This makes it ideal for team-based projects.
How do I handle large datasets in CSQA?
CSQA is optimized to handle large datasets efficiently. Use the advanced filtering and visualization tools to navigate and analyze your data without performance issues.