The author compiled a 150 GB open‑source multilingual code dataset covering Kyrgyz, Kazakh, Uzbek, and Tajik to fill the gap in Central Asian language resources for AI training. After weeks of data collection, parsing, and cleaning, they tackled persistent out‑of‑memory errors during processing. The resulting dataset aims to enable LLM development for under‑represented languages in the region.