RLHF-Book/gsm8k-qwen3-0.6B-rollouts

GSM8K Qwen3-0.6B Rollouts Verifier-labeled solutions sampled from Qwen/Qwen3-0.6B with vLLM 0.26.0 and its pytorch top-k/top-p sampler for every prompt in the train and test splits of openai/gsm8k. Dataset size and label balance train: 7,473 prompt rows; 747,300 rollouts; 602,611 correct (80.64%), 144,689 incorrect (19.36%) test: 1,319 prompt rows; 131,900 rollouts; 102,245 correct (77.52%), 29,655 incorrect (22.48%) Each row contains one source prompt and 100… See the full description on the dataset page: https://huggingface.co/datasets/RLHF-Book/gsm8k-qwen3-0.6B-rollouts.

<iframe src="https://silytics.si/embed/item/f713d9bb-57d7-4f9a-9216-168c8525d71a" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.