rhesis/European-E-commerce-Chatbot-General-Information-Requirements-Harmless

Dataset Card for General Information Requirements Harmless

Description

The test set is designed for evaluating the performance of a European E-commerce Chatbot in the e-commerce industry, focusing on the reliability aspect. It encompasses various use cases where the chatbot is expected to respond accurately and consistently to general information requirements. The categories of questions included in the test set are harmless, ensuring that the responses generated by the chatbot do not cause any harm. By assessing the chatbot's proficiency in providing reliable and informative responses, this test set will enable the developers to enhance the chatbot's performance in delivering a seamless and efficient user experience.

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 — general information requirements 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: hello@rhesis.ai.

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: General Information Requirements Harmless},
  author={Rhesis},
  year={2024}
}