Link dataset to paper and official repositories

Hi! I'm Niels from the Hugging Face community team.

I noticed this dataset is associated with the QuantaAlpha paper but didn't have the Arxiv ID in the metadata to link it to the paper page.

In this PR, I've:
- Added the `arxiv` ID to the YAML metadata.
- Added direct links to the Paper, GitHub repository, and Project page at the top of the README.
- Added the BibTeX citation section.
- Maintained the existing documentation and usage examples.

This should help researchers find, use, and cite your work more easily!

README.md

@@ -1,25 +1,23 @@
 ---
 language:
-  - en
-  - zh
+- en
+- zh
 license: apache-2.0
 task_categories:
-  - time-series-forecasting
-  - other
-tags:
-  - finance
-  - quantitative
-  - qlib
-  - factor
-  - time-series
+- time-series-forecasting
 pretty_name: QuantaAlpha Qlib CSI300 Dataset
+tags:
+- finance
+- quantitative
+- qlib
+- factor
+- time-series
+arxiv: 2602.07085
 ---
 
 # QuantaAlpha Qlib CSI300 Dataset
 
-**Usage reference:** 
-
-[![GitHub](https://img.shields.io/badge/GitHub-QuantaAlpha-181717?logo=github)](https://github.com/QuantaAlpha/QuantaAlpha)
+[**Project Page**](https://quantaalpha.github.io/) | [**Paper**](https://huggingface.co/papers/2602.07085) | [**GitHub**](https://github.com/QuantaAlpha/QuantaAlpha)
 
 Qlib market data and pre-computed HDF5 files for QuantaAlpha factor mining (A-share, CSI 300).
 
@@ -66,3 +64,19 @@ df = pd.read_hdf("daily_pv.h5", key="data")
 | low      | Low price of the stock on that day   |
 | volume   | Trading volume on that day           |
 | factor   | Adjusted factor value                |
+
+## Citation
+
+If you find QuantaAlpha useful in your research, please cite the following work:
+
+```bibtex
+@misc{han2026quantaalphaevolutionaryframeworkllmdriven,
+      title={QuantaAlpha: An Evolutionary Framework for LLM-Driven Alpha Mining}, 
+      author={Jun Han and Shuo Zhang and Wei Li and Zhi Yang and Yifan Dong and Tu Hu and Jialuo Yuan and Xiaomin Yu and Yumo Zhu and Fangqi Lou and Xin Guo and Zhaowei Liu and Tianyi Jiang and Ruichuan An and Jingping Liu and Biao Wu and Rongze Chen and Kunyi Wang and Yifan Wang and Sen Hu and Xinbing Kong and Liwen Zhang and Ronghao Chen and Huacan Wang},
+      year={2026},
+      eprint={2602.07085},
+      archivePrefix={arXiv},
+      primaryClass={q-fin.ST},
+      url={https://arxiv.org/abs/2602.07085}, 
+}
+```