| WebSearchChat-v1 is a synthetic multi-turn web search and tool-calling dataset designed for supervised fine-tuning of language models with retrieval capabilities. It contains conversational examples that require web search, information gathering, follow-up questions, and tool usage across multiple dialogue turns. The dataset is suitable for training search-augmented assistants, retrieval agents, and tool-using language models with strong conversational abilities. All samples were generated using **GPT-OSS-120B** with **Tavily Search API** through controlled prompting and automated quality filtering. This dataset is released publicly to support open-source AI research on retrieval-augmented generation and agentic systems. |
