IGGA: A Dataset of Industrial Guidelines for Generative AIs

IGGA (Industrial Guidelines for Generative AIs) is a comprehensive dataset comprising 160 industrial guidelines and workflow policy statements for the use of generative AIs and large language models across 14 different industrial sectors. The data, systematically selected and gathered from official company websites as well as other authentic online sources, encompass a total of 199777 words. This dataset is crafted to aid various natural language processing applications, such as language modeling, sentiment and semantic analysis, model synthesis, classification, and topic labeling. Moreover, it acts as a benchmark for detecting ambiguities and categorizing requirements. IGGA is intended to advance research on AI governance within industrial settings, promoting a comprehensive understanding of the integration and practical implications of AI technologies in real-world industrial operations.