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liked a Space about 4 hours ago
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repliedto Abhisek987's post 2 days ago
Every Python developer has hit this: you upgrade numpy or pandas, and code that worked yesterday breaks today. I built an open dataset for exactly this problem. DepDoctor is 6,204 examples of Python code broken by a dependency upgrade, each paired with the fix and a short note on the API change that caused it. It is a mixture of real cases mined from public GitHub commits and synthetic cases generated from a database of known breaking changes. A few things I tried to get right: - 935 "leave it alone" examples, to teach a model restraint, not just what to change. - Honest evaluation: a fine-tuned Qwen2.5-Coder-7B gets 62% of fixes fully correct. I report that, not just the 97% text-similarity score that hides the truth. - The main failure mode, over-editing, is measured and explained rather than buried. Dataset, fine-tuned model, and a live demo are all open in one place: https://huggingface.co/collections/Abhisek987/depdoctor Feedback welcome, especially from anyone working on code repair or API migration.
repliedto AxionLab-official's post 2 days ago
Please, give a follow to SupraLabs! We are researching the most, just to make the best medium models FOR YOU! https://huggingface.co/SupraLabs/Supra-A2A-Nano-Exp https://huggingface.co/SupraLabs/Supra-1.5-50M-Instruct-exp https://huggingface.co/SupraLabs/Supra-50M-Reasoning https://huggingface.co/SupraLabs/supra-title-50M-pre-gguf Check more at Supralabs org! https://huggingface.co/SupraLabs --- @LH-Tech-AI @QyrouNnet-AI @LyJonathan @Mmorgan-ML @User01110
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