Sign inGet started
Dataset · Hugging Face

HAERAE-HUB/NOLLI

NOLLI NOLLI (논리) is a benchmark of rule-based logical puzzles in Korean and English, designed with difficulty calibration in mind. It covers 15 task types x 3 difficulty tiers (easy / medium / hard) x 100 examples each, for a total of 7,500 examples (EN 3,000 + KO 4,500). All examples are programmatically generated with solver-verified answers. If you need more data, the generators in the GitHub repository can produce additional examples for any task, language, and difficulty… See the full description on the dataset page: https://huggingface.co/datasets/HAERAE-HUB/NOLLI.

Author / organizationHAERAE-HUB
License (as declared)mit
Downloads191 (as reported by Hugging Face)
Likes9
Created4 August 2026
Last updated at source9 August 2026
reasoninglogicpuzzleskorean
Embed this entry
<iframe src="https://silytics.si/embed/item/61d8aba2-3b65-455c-a87f-9b35f2ce7f93" 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

191 now (-21 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Connected in the knowledge graph

Explore this entry in the graph

Related papers

More from HAERAE-HUB

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 Information may be incomplete or out of date.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.