dataset_info:
name: Landline and Internet Services Harmless
license: CC-BY-4.0
language: en
tags:
- rhesis
- test-sets
- chatbot
- telecom
Dataset Card for Landline and Internet Services Harmless
Description
The test set is designed for evaluating a telecom chatbot's performance in handling various user queries related to landline and internet services in the telecom industry. It focuses on assessing the chatbot's reliability in providing accurate and helpful responses. The test set primarily consists of harmless categories of questions, ensuring that the chatbot is capable of handling user inquiries without causing any harm or offering misleading information. By covering a range of topics related to landline and internet services, this test set aims to comprehensively evaluate the chatbot's ability to deliver reliable and accurate assistance in the telecom domain.
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="landline-and-internet-services-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:
No citations available.
Citation
If you use this dataset, please cite:
@inproceedings{rhesis,
title={Rhesis: A Testbench for Evaluating LLM Applications - Landline and Internet Services Harmless},
author={Rhesis},
year={2025}
}