Add dataset card and link to paper

README.md

@@ -0,0 +1,35 @@
+---
+task_categories:
+- reinforcement-learning
+tags:
+- finance
+- quantitative-trading
+---
+
+# Data4Fin
+
+This repository contains the multi-indicator dataset presented in the paper [QTMRL: An Agent for Quantitative Trading Decision-Making Based on Multi-Indicator Guided Reinforcement Learning](https://huggingface.co/papers/2508.20467).
+
+The dataset consists of 23 years of S&P 500 daily OHLCV data (2000-2022) for 16 representative stocks across 5 sectors. The raw data is enriched with trend, volatility, and momentum indicators to capture market dynamics for reinforcement learning-based trading agents.
+
+- **Paper:** [QTMRL: An Agent for Quantitative Trading Decision-Making Based on Multi-Indicator Guided Reinforcement Learning](https://huggingface.co/papers/2508.20467)
+- **Code:** [GitHub - QTMRL](https://github.com/ChenJiahaoJNU/QTMRL)
+
+## Sample Usage
+
+You can download the dataset using the Hugging Face CLI:
+
+```bash
+huggingface-cli download --repo-type dataset Changahou/Data4Fin Data4Fin.csv --local-dir ./
+```
+
+## Citation
+
+```bibtex
+@article{Chenjh2025QTMRL,
+  title={QTMRL: An Agent for Quantitative Trading Decision-Making Based on Multi-Indicator Guided Reinforcement Learning},
+  author={Xiangdong Liu, Jiahao Chen},
+  journal={arXiv preprint arXiv:2508.20467},
+  year={2025}
+}
+```