How to Create a Dermatology Q&A Dataset with OpenAI Harmony & Firecrawl Search

OpenAI's recent release of GPT-OSS, an open-source model using the Harmony structured format, alongside tools like Firecrawl, offers new possibilities for automated data generation pipelines. This approach is demonstrated through a tutorial that builds a system for generating domain-specific datasets, particularly focusing on dermatology, but applicable to any field requiring structured data from web sources. The tutorial guides users through setting up APIs, defining data models, collecting raw data using Firecrawl, and transforming it into structured Q&A datasets with GPT-OSS, while incorporating checks for quality and duplicates. The process significantly reduces the time and cost associated with traditional dataset creation methods and culminates in publishing the dataset on the Hugging Face Hub for public access. This integration of web discovery and AI capabilities exemplifies how modern tools can streamline the creation of high-quality datasets for various applications, such as fine-tuning AI models or developing educational content.