Update README.md

README.md

@@ -1,3 +1,75 @@
----
-license: cc-by-4.0
----
+---
+license: cc-by-4.0
+---
+
+# ShopTC-100K Dataset
+
+![](figs/data_collection_pipeline.png)
+
+The ShopTC-100K dataset is collected using TermMiner, a data collection and topic modeling pipeline introduced in the paper: 
+
+**Harmful Terms and Where to Find Them: Measuring and Modeling Unfavorable Financial Terms and Conditions in Shopping Websites at Scale**
+
+To cite this dataset and related research, please use the following reference:
+```
+@inproceedings{tsai2025harmful,
+  author = {Elisa Tsai and Neal Mangaokar and Boyuan Zheng and Haizhong Zheng and Atul Prakash},
+  title = {Harmful Terms and Where to Find Them: Measuring and Modeling Unfavorable Financial Terms and Conditions in Shopping Websites at Scale},
+  booktitle = {Proceedings of the ACM Web Conference 2025 (WWW ’25)},
+  year = {2025},
+  location = {Sydney, NSW, Australia},
+  publisher = {ACM},
+  address = {New York, NY, USA},
+  pages = {14},
+  month = {April 28-May 2},
+  doi = {10.1145/3696410.3714573}
+}
+```
+
+## Dataset Description
+
+The dataset consists of sanitized terms extracted from 8,251 e-commerce websites with English-language terms and conditions. The websites were sourced from the [Tranco list](https://tranco-list.eu/) (as of April 2024). The dataset contains:
+
+- 1,825,231 sanitized sentences
+- 7,777 unique websites
+- Four split files for ease of use:
+```
+ShopTC-100K
+├── sanitized_split1.csv
+├── sanitized_split2.csv
+├── sanitized_split3.csv
+├── sanitized_split4.csv
+```
+
+### Data Sanitization Process
+
+The extracted terms are cleaned and structured using a multi-step sanitization pipeline:
+
+- HTML Parsing: Raw HTML content is processed to extract text from `<p>` tags.
+- Sentence Tokenization: Text is split into sentences using a transformer-based tokenization model.
+- Filtering: Short sentences (<10 words) and duplicates are removed.
+- Preprocessing: Newline characters and extra whitespace are cleaned.
+
+
+| Split File                          | Rows    | Columns | Unique Websites |
+|--------------------------------------|---------|---------|----------------|
+| sanitized_split1.csv                 | 523,760 | 2       | 1,979          |
+| sanitized_split2.csv                 | 454,966 | 2       | 1,973          |
+| sanitized_split3.csv                 | 425,028 | 2       | 1,988          |
+| sanitized_split4.csv                 | 421,477 | 2       | 1,837          |
+
+### Example Data
+
+The dataset is structured as follows:
+| URL                   | Paragraph |
+|-----------------------|----------------------------------------------------------------|
+| pythonanywhere.com    | Copyright © 2011-2024 PythonAnywhere LLP — Terms of Service apply. |
+| pythonanywhere.com    | We use cookies to provide social media features and to analyze our traffic. |
+| pythonanywhere.com    | 2.8 You acknowledge that clicking on Links may lead to third-party sites. |
+| pythonanywhere.com    | 3.4 No payment will be made unless and until Account verification is complete. |
+| pythonanywhere.com    | 11.3 All licenses granted to you in this agreement are non-transferable. |
+
+
+
+
+