Update README.md

README.md

@@ -8,35 +8,22 @@
 <a href="https://generalist.top/leaderboard">[🏆 Leaderboard]</a>
 <a href="https://arxiv.org/abs/2505.04620">[📄 Paper]</a>
 <a href="https://huggingface.co/papers/2505.04620">[🤗 Paper-HF]</a>
-<a href="https://huggingface.co/General-Level">[🤗 Dataset-HF]</a>
-<a href="https://github.com/path2generalist/GeneralBench">[📝 Dataset-Github]</a>
+<a href="https://huggingface.co/General-Level/General-Bench-Closeset">[🤗 Dataset-HF (Close-Set)]</a>
+<a href="https://huggingface.co/General-Level/General-Bench-Openset">[🤗 Dataset-HF (Open-Set)]</a>
+<a href="https://github.com/path2generalist/General-Level">[📝 Github]</a>
 </p>
 
 <h1 align="center" style="color: red">Open Set of General-Bench</h1>
 
 </div>
 
----
-We divide our benchmark into two settings: **`open`** and **`closed`**.
-
-This is the **`open benchmark`** of Generalist-Bench, where we release the full ground-truth annotations for all datasets.
-It allows researchers to train and evaluate their models with access to the answers.
-
-If you wish to thoroughly evaluate your model's performance, please use the
-[👉 closed benchmark](https://huggingface.co/datasets/General-Level/General-Bench-Closeset), which comes with detailed usage instructions.
-
-Final results will be updated on the [🏆 Leaderboard](https://level.generalist.top).
-
-
-<!-- This is the **`Closed benchmark`** of Generalist-Bench, where we release only the question annotations—**without ground-truth answers**—for all datasets.
-
-You can follow the detailed [usage](#-usage) instructions to submit the resuls generate by your own model.
-
-Final results will be updated on the [🏆 Leaderboard](https://level.generalist.top).
 
+---
+We divide our `General-Bench` into two settings: **`Open`** and **`Close`**.
 
-If you’d like to train or evaluate your model with access to the full answers, please check out the [👉 open benchmark](https://huggingface.co/datasets/General-Level/General-Bench-Openset), where all ground-truth annotations are provided. -->
+This is the **`Open Set`**, where we release the full ground-truth annotations for all datasets, allowing to train and evaluate models for open research purpose.
 
+If you wish to rank on our [🏆 `leaderboard`](https://generalist.top/leaderboard), please use the [👉 **`Close Set`**](https://huggingface.co/datasets/General-Level/General-Bench-Closeset).
 
 
 
@@ -262,13 +249,15 @@ comprehension and generation categories in various modalities</p>
 
 # 🚩 **Citation**
 
-If you find our benchmark useful in your research, please kindly consider citing us:
+If you find this project useful to your research, please kindly cite our paper:
 
 ```
-@article{generalist2025,
-  title={On Path to Multimodal Generalist: Levels and Benchmarks},
-  author={Hao Fei, Yuan Zhou, Juncheng Li, Xiangtai Li, Qingshan Xu, Bobo Li, Shengqiong Wu, Yaoting Wang, Junbao Zhou, Jiahao Meng, Qingyu Shi, Zhiyuan Zhou, Liangtao Shi, Minghe Gao, Daoan Zhang, Zhiqi Ge, Siliang Tang, Kaihang Pan, Yaobo Ye, Haobo Yuan, Tao Zhang, Weiming Wu, Tianjie Ju, Zixiang Meng, Shilin Xu, Liyu Jia, Wentao Hu, Meng Luo, Jiebo Luo, Tat-Seng Chua, Hanwang Zhang, Shuicheng YAN},
-  journal={arXiv},
-  year={2025}
+@articles{fei2025pathmultimodalgeneralistgenerallevel,
+  title={On Path to Multimodal Generalist: General-Level and General-Bench},
+  author={Hao Fei and Yuan Zhou and Juncheng Li and Xiangtai Li and Qingshan Xu and Bobo Li and Shengqiong Wu and Yaoting Wang and Junbao Zhou and Jiahao Meng and Qingyu Shi and Zhiyuan Zhou and Liangtao Shi and Minghe Gao and Daoan Zhang and Zhiqi Ge and Weiming Wu and Siliang Tang and Kaihang Pan and Yaobo Ye and Haobo Yuan and Tao Zhang and Tianjie Ju and Zixiang Meng and Shilin Xu and Liyu Jia and Wentao Hu and Meng Luo and Jiebo Luo and Tat-Seng Chua and Shuicheng Yan and Hanwang Zhang},
+  eprint={2505.04620},
+  archivePrefix={arXiv},
+  primaryClass={cs.CV}
+  url={https://arxiv.org/abs/2505.04620},
 }
 ```