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Description
25,000 unique instruction-response pairs designed for distilling advanced coding intelligence from Gemini Pro 3.2 into smaller models like CodeGemma. The dataset focuses on frontier code reasoning topics including optimal algorithms, scalable system design, performance engineering, secure cryptography, and large-scale ML infrastructure. It was created by WithinUsAI and last updated on Hugging Face in July 2026.
Use Cases
Fine-tuning code models for advanced algorithm generation based on the described focus on optimal algorithms.
Distilling system design expertise into smaller models based on the described focus on scalable system design.
Training models for performance engineering tasks based on the described focus on performance engineering.
Enhancing code models for secure cryptography implementation based on the described focus on secure cryptography.
Improving models for large-scale ML infrastructure code generation based on the described focus on large-scale ML infrastructure.