Launch and explore labeled datasets
Manage and label datasets for your projects
Manage and analyze datasets with AI tools
Convert a model to Safetensors and open a PR
Create a domain-specific dataset seed
Create a large, deduplicated dataset for LLM pre-training
Manage and annotate datasets
Organize and process datasets for AI models
Organize and process datasets using AI
Perform OSINT analysis, fetch URL titles, fine-tune models
Upload files to a Hugging Face repository
List of French datasets not referenced on the Hub
Build datasets using natural language
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.