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README.md

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+license: mit
 ---
+# ACE-RS Dataset
+
+## Dataset Description
+
+ACERS (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/XXXX.XXXXX)
+
+## 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
+@article{allouah2025aces,
+  title={What is your AI Agent buying? Evaluation, Implications and Emerging Questions for Agentic e-Commerce},
+  author={Allouah, Amine and Besbes, Omar and Figueroa, Josué D and Kanoria, Yash and Kumar, Akshit},
+  journal={arXiv preprint arXiv:XXXX.XXXXX},
+  year={2025}
+}
+```
+
+## 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/ACE](https://github.com/mycustomai/ACE)
+- 📊 **Dataset**: [HuggingFace Dataset Card](https://huggingface.co/datasets/My-Custom-AI/ACERS)