OctoReasoner/CodeGeneration-IQuest
CodeGeneration-IQuest Execution-based Python code-generation prompts for reinforcement-learning post-training, in the verl rule-reward schema. Each row is a single-turn competitive-programming problem whose reward is computed by executing the model's program against a hidden test suite — a program passes only if every case matches. The collection unifies two execution-scorable sources (Code-Contests-O and DeepCoder) and then difficulty-filters them ("goldilocks", see below) so… See the full description on the dataset page: https://huggingface.co/datasets/OctoReasoner/CodeGeneration-IQuest.
This repository is gated, so its file contents are only served once you have accepted the publisher's terms at Hugging Face. Open it at the source above.
