Add paper link, GitHub repository, and improve dataset card

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  1. README.md +43 -1
README.md CHANGED
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  license: apache-2.0
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  task_categories:
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  - tabular-classification
 
 
 
 
 
 
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  ---
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- We introduce CASCADE, the first large-scale open dataset derived from the Taobao app for online continuous NetCVR prediction.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  license: apache-2.0
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  task_categories:
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  - tabular-classification
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+ - other
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+ tags:
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+ - recommendation-system
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+ - conversion-rate
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+ - delayed-feedback
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+ - taobao
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  ---
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+
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+ # CASCADE: Cascaded Sequences of Conversion and Delayed Refund
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+ [Paper](https://huggingface.co/papers/2601.19965) | [GitHub](https://github.com/alimama-tech/NetCVR)
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+ 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.
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+
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+ ## Dataset Description
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+
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+ 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.
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+
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+ ### Data Structure
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+ As detailed in the official repository, the data includes:
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+ - User/item/Related Features
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+ - Timestamps for each conversion stage: `click_time`, `pay_time`, and `refund_time`.
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+
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+ ## Usage
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+
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+ After downloading the dataset, you can process it using the scripts provided in the official GitHub repository:
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+
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+ ```bash
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+ # to process data
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+ python process_CASCADE_with_MappingDict.py
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+ ```
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+
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+ ## Citation
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+
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+ If you find this dataset or research useful, please cite:
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+
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+ ```bibtex
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+ @article{luo2026modeling,
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+ title={Modeling Cascaded Delay Feedback for Online Net Conversion Rate Prediction: Benchmark, Insights and Solutions},
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+ 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},
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+ journal={arXiv preprint arXiv:2601.19965},
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+ year={2026}
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+ }
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+ ```