Log conversations with timestamps to a dataset
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A collection of parsers for LLM benchmark datasets
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Browse and extract data from Hugging Face datasets
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Testconv is a specialized tool designed for dataset creation, particularly focused on logging conversations with timestamps. It helps users generate structured datasets by capturing and organizing conversational data, making it ideal for training AI models or analyzing interactions.
• Conversation Logging: Records conversations with precise timestamps for accurate data tracking. • Timestamping: Adds temporal context to each entry, crucial for sequential analysis. • Multi-format Support: Exports datasets in formats like CSV, JSON, and TXT. • API Integration: Allows seamless integration with external tools and platforms. • User-friendly Interface: Intuitive design for easy interaction and dataset management.
What formats does Testconv support?
Testconv supports CSV, JSON, and TXT formats for dataset export.
Can Testconv handle non-text inputs?
Currently, Testconv focuses on text-based conversations but can be extended with custom integration.
Is Testconv suitable for real-time analysis?
Testconv is designed for dataset creation, not real-time analysis, but datasets can be used for that.