  Developing and training deep learning models is expensive, so software
engineers have begun to reuse pre-trained deep learning models (PTMs) and
fine-tune them for downstream tasks. Despite the wide-spread use of PTMs, we
know little about the corresponding software engineering behaviors and
challenges.
  To enable the study of software engineering with PTMs, we present the
PeaTMOSS dataset: Pre-Trained Models in Open-Source Software. PeaTMOSS has
three parts: a snapshot of (1) 281,638 PTMs, (2) 27,270 open-source software
repositories that use PTMs, and (3) a mapping between PTMs and the projects
that use them. We challenge PeaTMOSS miners to discover software engineering
practices around PTMs. A demo and link to the full dataset are available at:
https://github.com/PurdueDualityLab/PeaTMOSS-Demos.
