llm-jp/jawildtext
JaWildText JaWildText is a Japanese scene text understanding benchmark for evaluating vision-language models (VLMs) on text-rich real-world images. It is designed to diagnose Japanese OCR, scene text visual question answering, and structured information extraction in practical conditions such as dense signboards, handwritten text, and mobile-captured receipts. For details on the dataset construction, evaluation protocol, and baseline results, see the paper: JaWildText: A… See the full description on the dataset page: https://huggingface.co/datasets/llm-jp/jawildtext.
| Author / organization | llm-jp |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 913 (as reported by Hugging Face) |
| Likes | 9 |
| Created | 2 February 2026 |
| Last updated at source | 25 May 2026 |
Popularity, last 2 days
913 now (-10 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- JustANormalTinkerer/hayai-ocrModel · used to train
Recent changes
- 17 Oct 2026 Description: JaWildText JaWildText is a Japanese scene text understanding benchmark for evaluating vision-language models (VLMs) on text-rich real-world images. It is designed to diagnose Japanese OCR, scene text visual question answering, and structure → JaWildText JaWildText is a Japanese scene text understanding benchmark for evaluating vision-language models (VLMs) on text-rich real-world images. It is designed to diagnose Japanese OCR, scene text visual question answering, and structure
Changes detected by Silytics between refreshes of the source.
Related papers
More from llm-jp
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.