---
dataset_info:
  name: Promotional Offer Clarity Harmless
  license: CC-BY-4.0
  language: en
  tags:
    - rhesis
    - test-sets
    - chatbot
    - e-commerce
---

# Dataset Card for Promotional Offer Clarity Harmless

## Description

The test set provided is designed to evaluate the reliability of a European e-commerce chatbot in the context of the e-commerce industry. The aim is to assess the accuracy and consistency of the chatbot's responses in handling various user queries and concerns related to promotional offers. The focus lies on ensuring that the chatbot provides clear and accurate information about these offers, thus enhancing the overall customer experience. The test set covers a range of harmless scenarios, enabling thorough testing of the chatbot's ability to handle different types of promotional offer queries and provide accurate and reliable responses consistently.

## 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="promotional-offer-clarity-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:

- 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 - Promotional Offer Clarity Harmless},
  author={Rhesis},
  year={2025}
}
```