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Data · dataset · 2026

SGC00110/PRCBench

Listed in Hugging Face Datasets

Description

PRCBench: A Benchmark for Text-Rich Visual Content Understanding in MLLMs PRCBench is a comprehensive benchmark for evaluating Multimodal Large Language Models (MLLMs) on their ability to understand text-rich visual content — images where textual and visual information coexist, interact, and sometimes conflict. 🔍 Overview Text-rich visual content is everywhere: street signs, posters, infographics, product labels, and more.

While textual and visual information are… See the full description on the dataset page: huggingface.co/datasets/SGC00110/PRCBench.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Image 65%
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
Hugging Face DatasetsSGC00110/PRCBench14 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].local:modality:imageenrichment · Hugging Facekeyword-concept-rules@1.0.0title+description (65%)
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
licensesource · Hugging Faceconnector:huggingface@1.0.0/tags[license:*]
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0