PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in Open-Source Software
This dataset enables the MSR community to study the impact of pre-trained model reuse in open-source software, though it is incremental as it builds on existing data collection efforts.
The paper introduces the PeaTMOSS dataset, which includes metadata for 281,638 pre-trained models and usage data from 28,575 GitHub repositories, to address the lack of structured data on PTM adoption and reuse in software engineering. Their analysis provides initial statistics on the PTM supply chain, revealing trends and documentation issues, such as license inconsistencies.
The development and training of deep learning models have become increasingly costly and complex. Consequently, software engineers are adopting pre-trained models (PTMs) for their downstream applications. The dynamics of the PTM supply chain remain largely unexplored, signaling a clear need for structured datasets that document not only the metadata but also the subsequent applications of these models. Without such data, the MSR community cannot comprehensively understand the impact of PTM adoption and reuse. This paper presents the PeaTMOSS dataset, which comprises metadata for 281,638 PTMs and detailed snapshots for all PTMs with over 50 monthly downloads (14,296 PTMs), along with 28,575 open-source software repositories from GitHub that utilize these models. Additionally, the dataset includes 44,337 mappings from 15,129 downstream GitHub repositories to the 2,530 PTMs they use. To enhance the dataset's comprehensiveness, we developed prompts for a large language model to automatically extract model metadata, including the model's training datasets, parameters, and evaluation metrics. Our analysis of this dataset provides the first summary statistics for the PTM supply chain, showing the trend of PTM development and common shortcomings of PTM package documentation. Our example application reveals inconsistencies in software licenses across PTMs and their dependent projects. PeaTMOSS lays the foundation for future research, offering rich opportunities to investigate the PTM supply chain. We outline mining opportunities on PTMs, their downstream usage, and cross-cutting questions.