docs: add repositories as a dataset section

docs/welcome/key-metrics-guide.md

@@ -45,3 +45,13 @@ You can read more about [what it is and why it is important](https://opensauced.
 This helps you understand whether or not a repository is at risk of abandonment should a key contributor become unavailable. This information is particularly important if you plan on being a long-term contributor or if your project relies on an open-source project for the long term.
 
 You can read more about [what it is and how it can be interpreted](https://opensauced.pizza/blog/Understanding-the-Lottery-Factor).
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+## Repositories as a Dataset
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+[Repositories as a Dataset](../glossary/#repository-insights) refers to viewing repositories as complete and indepth information sources. It suggests holistically treating repositories by considering GitHub discussions, issues, and general activity and considering the history of entire repositories.
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+In the context of AI and its role in aiding developers, treating Repositories as a dataset helps train more context-aware AI models and makes this information more accessible to all.
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+This is helpful, as having more context around a repository you want to contribute to can make the process of contributing and onboarding much smoother.
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+You can read more about [the case for treating repositories as datasets and why that is important](https://opensauced.pizza/blog/github-repos-as-datasets).