Sign inGet started
Dataset · Hugging Face

caijanfeng/CodeContests-O

CodeContests-O: Powering LLMs via Feedback-Driven Iterative Test Case Generation Overview CodeContests-O is a high-quality competitive programming dataset with iteratively refined test cases, designed to provide reliable verification signals for training and evaluating reasoning-centric Large Language Models (LLMs). Built upon the CodeContests dataset, CodeContests-O employs a novel Feedback-Driven Iterative Framework to systematically synthesize, validate… See the full description on the dataset page: https://huggingface.co/datasets/caijanfeng/CodeContests-O.

Author / organizationcaijanfeng
Downloads1.7K (as reported by Hugging Face)
Likes5
Created20 January 2026
Last updated at source21 January 2026
Embed this entry
<iframe src="https://silytics.si/embed/item/02e416f3-adaf-4844-ace6-fad0e6224aab" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 3 days

1,668 now (+9 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Recent changes

  • 16 Oct 2026 Description: CodeContests-O: Powering LLMs via Feedback-Driven Iterative Test Case Generation Overview CodeContests-O is a high-quality competitive programming dataset with iteratively refined test cases, designed to provide reliable verification signal → CodeContests-O: Powering LLMs via Feedback-Driven Iterative Test Case Generation Overview CodeContests-O is a high-quality competitive programming dataset with iteratively refined test cases, designed to provide reliable verification signal

Changes detected by Silytics between refreshes of the source.

More from caijanfeng

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 Information may be incomplete or out of date.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.