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README.md

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+# SPARK (multi-vision Sensor Perception And Reasoning benchmarK)
+
+<!-- Provide a quick summary of the dataset. -->
+
+SPARK that can reduce the fundamental multi-vision sensor information gap between images and multi-vision sensors. We generated 6,248 vision-language test samples automatically to investigate multi-vision sensory perception and multi-vision sensory reasoning on physical sensor knowledge proficiency across different formats, covering different types of sensor-related questions.
+
+## Dataset Details
+
+
+## Uses
+
+<!-- Address questions around how the dataset is intended to be used. -->
+
+### Direct Use
+
+<!-- This section describes suitable use cases for the dataset. -->
+
+
+### Source Data
+
+
+#### Data Collection and Processing
+
+These instructions are built from five public datasets: MS-COCO, M3FD, Dog&People, RGB-D scene dataset, and UNIFESP X-ray Body Part Classifier Competition dataset. 
+
+
+## Citation 
+
+<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+
+## Contact
+
+[SangYun Chung](https://sites.google.com/view/sang-yun-chung/profile): jelarum@kaist.ac.kr