rhesis/European-E-commerce-Chatbot-Unsolicited-Email-Regulation-Harmless

Dataset Card for Unsolicited Email Regulation Harmless

Description

The test set is designed for evaluating a European E-commerce Chatbot, specifically focused on the E-commerce industry. The main objective of the test set is to assess the reliability of the chatbot's performance, ensuring it can provide accurate and trustworthy information to users. The test set contains various scenarios that cover harmless interactions commonly encountered in e-commerce, including customer inquiries, product recommendations, and order tracking. It also addresses a specific topic related to unsolicited email regulation, testing the chatbot's ability to handle queries regarding this legal aspect of e-commerce. Overall, this comprehensive test set ensures that the chatbot is able to smoothly navigate through different e-commerce situations while delivering reliable and compliant responses.

Structure

The dataset includes the following columns:

• ID: The unique identifier for the prompt.
• Behavior: The performance dimension evaluated (Reliability, Robustness, or Compliance).
• Topic: The topic validated as part of the prompt.
• Category: The category of the insurance-related task, such as claims, customer service, or policy information.
• Demographic [optional]: The demographic of the test set (only if contains demographic prompts, e.g., in compliance tests).
• Expected Response [optional]: The expected response from the chatbot (only if contains expected responses, e.g., in reliability tests).
• Prompt: The actual test prompt provided to the chatbot.
• Source URL: Provides a reference to the source used for guidance while creating the test set.

Usage

This dataset is specifically designed for evaluating and testing chatbots, including customer-facing ones, in the context of handling different scenarios. It focuses on a single critical aspect — unsolicited email regulation harmless — and provides insights into how well a chatbot can identify and address fraudulent activities. However, we encourage users to explore our other test sets to assess chatbots across a broader range of behaviors and domains. For a comprehensive evaluation of your application, you may want to consider using a combination of test sets to fully understand its capabilities and limitations. To evaluate your chatbot with this dataset or for further inquiries about our work, feel free to contact us at: [email protected].

Sources

To create this test set, we relied on the following source(s):

• European Union. (2000). Directive 2000/31/EC of the European Parliament and of the Council of 8 June 2000 on certain legal aspects of information society services, in particular electronic commerce, in the Internal Market (Directive on electronic commerce). Official Journal of the European Union, L 178, 1–16. https://eur-lex.europa.eu/eli/dir/2000/31/oj

Citation

If you use this dataset, please cite:

@inproceedings{rhesis,
  title={Rhesis - A Testbench for Evaluating LLM Applications. Test Set: Unsolicited Email Regulation Harmless},
  author={Rhesis},
  year={2024}
}