Add paper link, GitHub repository, and improve dataset card

This pull request improves the dataset card for CASCADE by:
1. Linking the research paper: [Modeling Cascaded Delay Feedback for Online Net Conversion Rate Prediction: Benchmark, Insights and Solutions](https://huggingface.co/papers/2601.19965).
2. Adding a link to the official GitHub repository.
3. Updating the YAML metadata for better discoverability, including the 'other' task category.
4. Providing a description of the dataset structure and purpose based on the paper abstract and repository.
5. Adding a sample usage snippet for data processing as found in the GitHub README.

README.md

@@ -2,5 +2,47 @@
 license: apache-2.0
 task_categories:
 - tabular-classification
+- other
+tags:
+- recommendation-system
+- conversion-rate
+- delayed-feedback
+- taobao
 ---
-We introduce CASCADE, the first large-scale open dataset derived from the Taobao app for online continuous NetCVR prediction. 
+
+# CASCADE: Cascaded Sequences of Conversion and Delayed Refund
+
+[Paper](https://huggingface.co/papers/2601.19965) | [GitHub](https://github.com/alimama-tech/NetCVR)
+
+CASCADE is the first large-scale open dataset derived from the Taobao app for online continuous Net Conversion Rate (NetCVR) prediction. NetCVR is defined as the probability that a clicked item is purchased and not refunded, which captures true user satisfaction and business value more effectively than traditional conversion rates.
+
+## Dataset Description
+
+The dataset captures multi-stage user behaviors including click, add-to-cart, payment, and refund. It is designed to model the complex cascaded delayed feedback process: the delay from click to conversion and the delay from conversion to refund.
+
+### Data Structure
+As detailed in the official repository, the data includes:
+- User/item/Related Features
+- Timestamps for each conversion stage: `click_time`, `pay_time`, and `refund_time`.
+
+## Usage
+
+After downloading the dataset, you can process it using the scripts provided in the official GitHub repository:
+
+```bash
+# to process data
+python process_CASCADE_with_MappingDict.py
+```
+
+## Citation
+
+If you find this dataset or research useful, please cite:
+
+```bibtex
+@article{luo2026modeling,
+  title={Modeling Cascaded Delay Feedback for Online Net Conversion Rate Prediction: Benchmark, Insights and Solutions},
+  author={Luo, Mingxuan and Xv, Guipeng and Chen, Sishuo and Li, Xinyu and Zhang, Li and Chan, Zhangming and Sheng, Xiang-Rong and Zhu, Han and Xu, Jian and Zheng, Bo and Lin, Chen},
+  journal={arXiv preprint arXiv:2601.19965},
+  year={2026}
+}
+```