Req2Test is a large-scale, multi-language dataset for requirement-driven
unit test generation, built to enable knowledge distillation from large
teacher LLMs to small (2B–4B) student models. Depending on architecture,
precision, quantization, and runtime, such models may fit within approximately
8 GB of VRAM.
Each record pairs a natural-language functional requirement with eight
aligned code artifacts — an interface declaration and a unit test class in
each of four… See the full description on the dataset page:
https://huggingface.co/datasets/centertest/req2test.
