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Dataset · Hugging Face

tudor-iustin22/maple

Overview Maple is an open-source full-stack code dataset developed and released by Tudor Iustin. It is designed to support code generation, web development, supervised fine-tuning, instruction tuning, post-training, dataset research, and evaluation workflows for code-capable AI systems. Maple contains 16,000 full-stack code samples totaling approximately 102 million tokens. It focuses on realistic software-building tasks, including web applications, product interfaces… See the full description on the dataset page: https://huggingface.co/datasets/tudor-iustin22/maple.

Author / organizationtudor-iustin22
License (as declared)cc-by-4.0
Downloads213 (as reported by Hugging Face)
Likes0
Created25 May 2026
Last updated at source13 July 2026
codecode-generationsyntheticpost-trainingsupervised-fine-tuninginstruction-tuningfull-stackweb-developmentreactnextjstypescripttailwindcssparquetqwenqwen3.5amdrocmllama-cpp
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