From 9aa44f46aa4794ae459ddb0de1b8adbc64336ad8 Mon Sep 17 00:00:00 2001
From: Yuliang Liu <34134635+Yuliang-Liu@users.noreply.github.com>
Date: Tue, 7 May 2024 23:12:25 +0800
Subject: [PATCH] Update README.md

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 README.md | 5 +++++
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 | OCRBench Images | [OCRBench Images](https://drive.google.com/file/d/1a3VRJx3V3SdOmPr7499Ky0Ug8AwqGUHO/view?usp=drive_link) | This file only contains the images used in OCRBench. |
 | Test Results | [Test Results](https://drive.google.com/drive/folders/15XlHCuNTavI1Ihqm4G7u3J34BHpkaqyE?usp=drive_link) | This file file contains the result files for the test models. |
 
+# Related Dataset
+| Data | Link | Description |
+| --- | --- | --- |
+| EST-VQA Dataset | [Link](https://github.com/xinke-wang/EST-VQA) | On the General Value of Evidence, and Bilingual Scene-Text Visual Question Answering. |
+
 # OCRBench
 
 OCRBench is a comprehensive evaluation benchmark designed to assess the OCR capabilities of Large Multimodal Models. It comprises five components: Text Recognition, SceneText-Centric VQA, Document-Oriented VQA, Key Information Extraction, and Handwritten Mathematical Expression Recognition. The benchmark includes 1000 question-answer pairs, and all the answers undergo manual verification and correction to ensure a more precise evaluation.