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---
dataset_info:
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configs:
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data_files:
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path: absolute_and_random_price/data-*
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path: instruction_following/data-*
- config_name: rating
data_files:
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path: rating/data-*
- config_name: relative_price
data_files:
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path: relative_price/data-*
license: mit
---
# ACE-RS Dataset
## Dataset Description
ACE-RS (Agentic e-CommercE - Rationality Suite) is a comprehensive dataset for studying how autonomous AI agents behave when shopping in e-commerce settings.
The dataset enables controlled experiments on AI shopping behavior by providing synthetic tasks which evaluate agents' economic rationality and basic instruction following.
## Paper
📄 **Paper**: [What is your AI Agent buying? Evaluation, Implications and Emerging Questions for Agentic e-Commerce](https://arxiv.org/abs/2508.02630)
## Dataset Subsets
The ACE-RS dataset contains multiple experimental subsets:
### 1. **Instruction Following**
- `instruction_following`:
- Budget-constrained shopping tasks
- Color-based product selection
- Brand-specific requirements
### 2. **Rationality Tests**
- `absolute_and_random_price`
- `relative_price`
- `rating`
## Usage
For detailed instructions on how to use this dataset and run experiments, please refer to the [ACES codebase](https://github.com/mycustomai/ACES).
## Citation
If you use the ACERS dataset in your research, please cite:
```bibtex
@misc{allouah2025acers,
author = { Amine Allouah, Omar Besbes, Josué D Figueroa, Yash Kanoria and Akshit Kumar },
title = { ACE-RS (Revision bb94051) },
year = 2025,
url = { https://huggingface.co/datasets/My-Custom-AI/ACE-SR },
doi = { 10.57967/hf/6123 },
publisher = { Hugging Face }
}
```
## License
This dataset is licensed under the [MIT License](LICENSE) and includes data publically available from Amazon.com
## Links
- 💻 **Code Repository**: [https://github.com/mycustomai/ACES](https://github.com/mycustomai/ACES)
- 📊 **Dataset**: [HuggingFace Dataset Card](https://huggingface.co/datasets/My-Custom-AI/ACE-RS)
- 📄 **Paper** [Arxiv](https://arxiv.org/abs/2508.02630) |