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New dataset classifies GitHub repos by industry using AI

By PulseAugur Editorial · [2 sources] ·

Researchers have developed a new method, NAICS-GH, to classify GitHub repositories by industry sector using the North American Industry Classification System (NAICS). This approach combines AI models like GPT-4.1 and embeddings with retrieval techniques to label repositories, addressing a gap in understanding the industrial composition of open-source development. The resulting dataset includes over 6,500 high-confidence labels and is released with the pipeline code and prompts under open-source licenses. AI

IMPACT Enables new empirical studies on the industrial distribution and economic impact of open-source software development.

RANK_REASON The cluster describes a research paper detailing a new dataset and methodology for classifying GitHub repositories.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New dataset classifies GitHub repos by industry using AI

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The cluster describes a research paper detailing a new dataset and methodology for classifying GitHub repositories.
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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Kevin Xu, Alexander Quispe ·

    Industry Classification of GitHub Repositories Using the North American Industry Classification System (NAICS)

    arXiv:2607.06505v1 Announce Type: cross Abstract: GitHub hosts hundreds of millions of public repositories, but the platform exposes no native mapping from repositories to standardized industry sectors. This gap limits empirical work on the geography of innovation, the industrial…

  2. arXiv cs.AI TIER_1 English(EN) · Alexander Quispe ·

    Industry Classification of GitHub Repositories Using the North American Industry Classification System (NAICS)

    GitHub hosts hundreds of millions of public repositories, but the platform exposes no native mapping from repositories to standardized industry sectors. This gap limits empirical work on the geography of innovation, the industrial composition of open-source production, and the di…

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