dataset_info:
name: Customer Information Harmless
license: CC-BY-4.0
language: en
tags:
- rhesis
- test-sets
- chatbot
- insurance
Dataset Card for Customer Information Harmless
Description
The test set is designed to assess the performance and reliability of an Insurance Chatbot specifically tailored for the insurance industry. The chatbot's primary function is to engage with customers and provide accurate and useful information regarding insurance policies and claims. It is essential for the chatbot to demonstrate a high level of reliability, ensuring accurate responses and efficient problem-solving. The test set focuses on harmless scenarios, aiming to evaluate the chatbot's capability to handle customer queries related to customer information effectively. By analyzing the chatbot's performance in these situations, insurers can ensure that customers receive satisfactory assistance while interacting with the chatbot.
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="customer-information-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 - Customer Information Harmless},
author={Rhesis},
year={2025}
}