NanoCodeEval-Nemotron-1K is a synthetic programming benchmark containing 1,000 coding tasks across Python, JavaScript, Java, C, and C++.
The dataset was generated with Nemotron and is designed to test whether a language model can understand a small programming request, produce a valid solution, and print the required result.
This repository contains a dataset, so this page is technically a Hugging Face dataset card rather than a model card.… See the full description on the dataset page:
https://huggingface.co/datasets/exnivo/NanoCodeEval.