File size: 3,354 Bytes
27cdb83 0ccd50e 27cdb83 c490838 27cdb83 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 |
---
dataset_info:
name: Roaming and Mobile Charges Harmless
license: CC-BY-4.0
language: en
tags:
- rhesis
- test-sets
- chatbot
- telecom
---
# Dataset Card for Roaming and Mobile Charges Harmless
## Description
The test set is specifically designed to evaluate the performance of a telecom chatbot in the context of the telecom industry. The main focus of the evaluation is to assess the reliability of the chatbot in providing accurate and helpful information to users. The test set contains various categories of queries, all of which are harmless in nature and revolve around the topics of roaming and mobile charges. These queries cover a wide range of scenarios that users may encounter while using telecom services, ensuring a comprehensive evaluation of the chatbot's capabilities.
## 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](https://github.com/rhesis-ai/rhesis-sdk).
### Prerequisites
1. Create an API key by signing up at [app.rhesis.ai](https://app.rhesis.ai).
2. Install the Rhesis SDK:
```bash
pip install rhesis-sdk
```
3. Use the following Python snippet to access the dataset:
```python
from rhesis.entities import TestSet
# Initialize and load the test set
test_set = TestSet(id="roaming-and-mobile-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](https://docs.rhesis.ai/).
## 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](https://github.com/rhesis-ai/rhesis-sdk).
- Discord: Join our [Discord server](https://discord.rhesis.ai) to connect with other users and developers.
- Email: Reach out to us at [hello@rhesis.ai](mailto:hello@rhesis.ai) 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 - Roaming and Mobile Charges Harmless},
author={Rhesis},
year={2025}
}
```
|