Create README.md

README.md

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+---
+license: cc-by-4.0
+task_categories:
+- image-to-text
+language:
+- en
+---
+
+# Dataset Card for CompreCap
+
+
+### Dataset Description
+The CompreCap benchmark is characterized by human-annotated scene graph and focuses on the evaluation of comprehensive image captioning.
+It provides new semantic segmentation annotations for common objects in images, with an average mask coverage of 95.83%.
+Beyond the careful annotation of objects, CompreCap also includes high-quality descriptions of the attributes bound to the objects, as well as directional relational descriptions between the objects, composing a complete and directed scene graph structure.
+Based on the CompreCap benchmark, researchers can comprehensively accessing the quality of image captions generated by large vision-language models.
+
+### Licensing Information
+We distribute the image under a standard Creative Common CC-BY-4.0 license. The individual images are under their own copyrights.
+
+
+## Citation
+
+
+BibTeX:
+```bibtex
+@article{CompreCap,
+  title={Benchmarking Large Vision-Language Models via Directed Scene Graph for Comprehensive Image Captioning},
+  author={Fan Lu, Wei Wu, Kecheng Zheng, Shuailei Ma, Biao Gong, Jiawei Liu, Wei Zhai, Yang Cao, Yujun Shen, Zheng-Jun Zha},
+  booktitle={arXiv},
+  year={2024}
+}
+```