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# Accelerating researchers and developers building multilingual AI with a new open dataset

**[GitHub Blog](https://daily.dev/sources/ghblog)** · 5 min read · 1 upvotes · 0 comments

## Summary

GitHub has released the GitHub Multilingual Repositories Dataset, a CC0-1.0 open metadata dataset covering over 80 million classification rows across more than 40 million public repositories. It identifies non-English natural-language content in READMEs, issues, and pull requests using three classifiers (fastText, gcld3, lingua-py) with confidence scores, without collapsing them into a single label. Key findings include Portuguese topping non-English READMEs with 3M+ repositories, while Korean leads in issue text. The dataset is intended for researchers building multilingual AI tools, studying language representation in open source, and creating evaluation sets for AI coding assistants. It explicitly avoids being a ground-truth benchmark and warns against inferring person-level attributes from repository metadata.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://github.blog/ai-and-ml/llms/accelerating-researchers-and-developers-building-multilingual-ai-with-a-new-open-dataset>

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