Dataset · Hugging Face

Nasser4963/jamo-gold

Name: jamo-gold
Creator: Nasser4963
License: cc-by-4.0
Keywords: task_categories:image-to-text, task_categories:text-to-image, language:ko, language:en, license:cc-by-4.0, license:apache-2.0, size_categories:n<1K, format:parquet, modality:document, modality:image, modality:tabular, modality:text, library:datasets, library:pandas, library:polars

JAMO Gold — Human-Validated Hangul Rendering Judgments A small, carefully labelled dataset for a specific purpose: testing whether an OCR engine can tell that a glyph is not a real character. It is not a Hangul OCR training set, and not a model leaderboard. Why this exists Benchmarks that measure visual text rendering score generated images with OCR. But OCR engines are closed-set classifiers — given an image, they must return some character from their… See the full description on the dataset page: https://huggingface.co/datasets/Nasser4963/jamo-gold.

View on Hugging FaceReport an issue

Author / organization	Nasser4963
License (as declared)	cc-by-4.0
Downloads	188 (as reported by Hugging Face)
Likes	1
Created	13 August 2026
Last updated at source	17 August 2026

ocrevaluationbenchmarktext-renderingkoreanhangulmeasurement-validityhuman-annotationvision-languagemultimodal

Embed this entry

<iframe src="https://silytics.si/embed/item/8feb919d-7a4e-4885-92c5-d301ddce9499" 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

188 now (-7 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

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 Information may be incomplete or out of date.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.