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A curated dataset of 50 small-scale open-source ML repositories (tabular/NLP) designed for benchmarking energy-efficient code generation and Green ML practices in GenAI.
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The project is a small-scale research dataset with zero stars and forks after 160+ days. While the 'Green ML' angle for LLM code generation is a specific research niche, the dataset size (50 repos) is very small and lacks a technical moat or community validation. It functions primarily as an academic reference rather than a production-grade tool.
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