Log conversations with timestamps to a dataset
Search for Hugging Face Hub models
Manage and label datasets for your projects
Review and rate queries
Manage and label data for machine learning projects
Validate JSONL format for fine-tuning
Create a domain-specific dataset project
Rename models in dataset leaderboard
Explore datasets on a Nomic Atlas map
Create a large, deduplicated dataset for LLM pre-training
Organize and process datasets using AI
Count tokens in datasets and plot distribution
Organize and invoke AI models with Flow visualization
Testconv is a tool designed for logging conversations with timestamps to create structured datasets. It is particularly useful for applications requiring temporal data organization and sequential interaction records. The tool simplifies the process of capturing and organizing conversational data, making it ideal for training AI models, analyzing interactions, and generating insights from dialogue-based data.
• Conversation Logging: Capture and store conversations with high precision. • Timestamping: Automatically add timestamps to each interaction for temporal context. • Customizable Formats: Export data in multiple formats to suit different use cases. • Scalable: Handle large volumes of conversations efficiently. • Integration Ready: Easily integrate with existing systems and workflows. • Data Accuracy: Ensure high-quality data with minimal manual intervention.
What is Testconv used for?
Testconv is used to log conversations with timestamps, creating structured datasets for AI training, analysis, or insights generation.
How do I export data from Testconv?
You can export data by selecting your preferred format (e.g., JSON, CSV) and specifying the output location.
Can Testconv handle multiple conversations at once?
Yes, Testconv is designed to handle large volumes of conversations simultaneously, ensuring efficient data capture.