Launch and explore labeled datasets
Speech Corpus Creation Tool
Annotation Tool
Build datasets using natural language
Search narrators and view network connections
Display translation benchmark results from NTREX dataset
Manage and label your datasets
Generate synthetic datasets for AI training
Manage and label data for machine learning projects
Provide feedback on AI responses to prompts
Manage and analyze labeled datasets
Create a domain-specific dataset seed
Browse a list of machine learning 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.