Update README.md

README.md

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----
-license: other
-license_name: other
-license_link: LICENSE
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+---
+license: other
+license_name: other
+license_link: LICENSE
+task_categories:
+- visual-question-answering
+language:
+- en
+size_categories:
+- n<1K
+---
+# HR-Bench
+
+[**🌐Homepage**](https://github.com/DreamMr/HR-Bench)
+
+## Dataset Details
+We find that the highest resolution in existing multimodal benchmarks is only 2K. To address the current lack of high-resolution multimodal benchmarks, we construct **_HR-Bench_**. **_HR-Bench_** consists two sub-tasks: **_Fine-grained Single-instance Perception (FSP)_** and **_Fine-grained Cross-instance Perception (FCP)_**. The **_FSP_** task includes 100 samples, which includes tasks such as attribute recognition, OCR, visual prompting. The **_FCP_** task also comprises 100 samples which encompasses map analysis, chart analysis and spatial relationship assessment. As shown in the figure below, we visualize examples of our **_HR-Bench_**.
+
+<img src="https://github.com/DreamMr/HR-Bench-DC2/blob/main/resources/case_study_dataset_13.png">
+
+**_HR-Bench_** is available in two versions: **_HR-Bench 8K_** and **_HR-Bench 4K_**. The **_HR-Bench 8K_** includes images with an average resolution of 8K. Additionally, we manually annotate the coordinates of objects relevant to the questions within the 8K image and crop these image to 4K resolution.