metadata

license: mit
tags:
  - tabular
  - text
dataset_info:
  languages:
    - en
  size_categories:
    - 100M-1B
  pretty_name: ShopTC-100K
task_categories:
  - text-classification
  - summarization
language:
  - en
pretty_name: ShopTC-100K
size_categories:
  - 100M<n<1B

ShopTC-100K Dataset

The ShopTC-100K dataset is collected using TermMiner, an open-source 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

If you find this dataset or the related paper useful for your research, please cite our paper:

@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 (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.