dataset_info:
name: Cost and Charges Harmless
license: CC-BY-4.0
language: en
tags:
- rhesis
- test-sets
- chatbot
- insurance
Dataset Card for Cost and Charges Harmless
Description
The test set provided is designed for evaluating the performance and functionality of an insurance chatbot, with a particular focus on the insurance industry. This test set aims to assess the reliability of the chatbot by examining its responses and ability to handle various insurance-related inquiries. The categories covered in this test set are primarily focused on harmless queries, ensuring that the chatbot can effectively address and respond to user questions without causing any harm or confusion. Furthermore, the test set centers around the topics of cost and charges, assessing the chatbot's ability to provide accurate and helpful information regarding pricing and fees associated with insurance policies.
Structure
The dataset includes four key columns:
- 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.
- Prompt: The actual test prompt provided to the chatbot.
- Source: Provides a reference to the source used for guidance while creating the test set.
Disclaimer
Some test cases may contain sensitive, challenging, or potentially upsetting content. These cases are included to ensure thorough and realistic assessments. Users should review test cases carefully and exercise discretion when utilizing them.
Integration
In order to easily integrate a Rhesis test set into your existing development pipeline, you can make use of the Rhesis SDK.
Prerequisites
Create an API key by signing up at app.rhesis.ai.
Install the Rhesis SDK:
pip install rhesis-sdkUse the following Python snippet to access the dataset:
from rhesis.entities import TestSet
# Initialize and load the test set
test_set = TestSet(id="cost-and-charges-harmless")
df = test_set.load() # Returns a pandas DataFrame
# Alternatively, you can download the CSV file directly
test_set.download() # Downloads to current directory as test_set_{id}.csv
Using the Rhesis SDK, you get access to the entire collection of Rhesis test sets, including this one. You can also create your own test sets.
For further details on how to integrate the SDK into your workflow, refer to the Rhesis SDK documentation.
Community
We welcome contributions and discussions from the community! Here are the different ways you can get involved:
- GitHub: Report issues or contribute to the Rhesis SDK on our GitHub repository.
- Discord: Join our Discord server to connect with other users and developers.
- Email: Reach out to us at [email protected] for support or inquiries.
Sources
The following sources were used in creating this dataset:
- European Union. (2016). Directive (EU) 2016/97 of the European Parliament and of the Council of 20 January 2016 on insurance distribution (recast). Official Journal of the European Union, L 26, 19–59. Article 29. https://eur-lex.europa.eu/eli/dir/2016/97/oj
Citation
If you use this dataset, please cite:
@inproceedings{rhesis,
title={Rhesis: A Testbench for Evaluating LLM Applications - Cost and Charges Harmless},
author={Rhesis},
year={2025}
}