{"id":40804,"date":"2026-05-04T18:27:09","date_gmt":"2026-05-04T16:27:09","guid":{"rendered":"https:\/\/www.graviton.at\/letterswaplibrary\/best-way-to-clean-github-data-remove-node_modules-lockfiles-etc-for-llm-fine-tuning\/"},"modified":"2026-05-04T18:27:09","modified_gmt":"2026-05-04T16:27:09","slug":"best-way-to-clean-github-data-remove-node_modules-lockfiles-etc-for-llm-fine-tuning","status":"publish","type":"post","link":"https:\/\/www.graviton.at\/letterswaplibrary\/best-way-to-clean-github-data-remove-node_modules-lockfiles-etc-for-llm-fine-tuning\/","title":{"rendered":"Best Way To Clean GitHub Data (remove Node_modules, Lockfiles, Etc) For LLM Fine-tuning?"},"content":{"rendered":"

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Anyone else wasting hours cleaning GitHub data for LLM fine-tuning?<\/p>\n

I tried building my own dataset (instead of relying on Hugging Face), but scraping repos is messy node_modules, lockfiles, minified code, binaries\u2026 tons of junk.<\/p>\n

Feels like more time goes into cleaning than actual training.<\/p>\n

Curious how you\u2019re handling this:<\/p>\n

custom scripts?<\/p>\n

existing tools?<\/p>\n

or just manual cleanup?<\/p>\n

Also how are you structuring data for different LLM formats?<\/p>\n

Thinking about building something to automate this if it\u2019s a common problem.. <\/p>\n

Would love to hear workflows you guys work with. <\/p>\n<\/div>\n

submitted by \/u\/Ok_Rub3312 <\/a>
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