I need a comprehensive dataset of past decisions from the US Government Accountability Office (GAO). This dataset will be used for inference data in a RAG (Retrieval-Augmented Generation) system. Key requirements: - Scrape the GAO website for data on bid protests and federal fiscal rules. - Assemble the dataset in JSON and CSV formats. - Organize data by decision type (bid protests and fiscal law decisions) Ideal skills and experience: - Web scraping proficiency - Experience with JSON and CSV data formats - Familiarity with data organization for LLM optimization - Attention to detail and accuracy