Link dataset to paper and official repositories

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by nielsr HF Staff - opened
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  1. README.md +27 -13
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  ---
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  language:
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- - en
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- - zh
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  license: apache-2.0
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  task_categories:
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- - time-series-forecasting
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- - other
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- tags:
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- - finance
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- - quantitative
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- - qlib
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- - factor
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- - time-series
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  pretty_name: QuantaAlpha Qlib CSI300 Dataset
 
 
 
 
 
 
 
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  ---
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  # QuantaAlpha Qlib CSI300 Dataset
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- **Usage reference:**
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-
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- [![GitHub](https://img.shields.io/badge/GitHub-QuantaAlpha-181717?logo=github)](https://github.com/QuantaAlpha/QuantaAlpha)
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  Qlib market data and pre-computed HDF5 files for QuantaAlpha factor mining (A-share, CSI 300).
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  | low | Low price of the stock on that day |
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  | volume | Trading volume on that day |
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  | factor | Adjusted factor value |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  language:
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+ - en
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+ - zh
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  license: apache-2.0
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  task_categories:
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+ - time-series-forecasting
 
 
 
 
 
 
 
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  pretty_name: QuantaAlpha Qlib CSI300 Dataset
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+ tags:
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+ - finance
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+ - quantitative
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+ - qlib
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+ - factor
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+ - time-series
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+ arxiv: 2602.07085
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  ---
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  # QuantaAlpha Qlib CSI300 Dataset
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+ [**Project Page**](https://quantaalpha.github.io/) | [**Paper**](https://huggingface.co/papers/2602.07085) | [**GitHub**](https://github.com/QuantaAlpha/QuantaAlpha)
 
 
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  Qlib market data and pre-computed HDF5 files for QuantaAlpha factor mining (A-share, CSI 300).
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  | low | Low price of the stock on that day |
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  | volume | Trading volume on that day |
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  | factor | Adjusted factor value |
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+
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+ ## Citation
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+
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+ If you find QuantaAlpha useful in your research, please cite the following work:
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+
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+ ```bibtex
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+ @misc{han2026quantaalphaevolutionaryframeworkllmdriven,
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+ title={QuantaAlpha: An Evolutionary Framework for LLM-Driven Alpha Mining},
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+ 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},
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+ year={2026},
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+ eprint={2602.07085},
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+ archivePrefix={arXiv},
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+ primaryClass={q-fin.ST},
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+ url={https://arxiv.org/abs/2602.07085},
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+ }
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+ ```