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 / organization | tudor-iustin22 |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 213 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 25 May 2026 |
| Last updated at source | 13 July 2026 |
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