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---
dataset_info:
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data_files:
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---
# ACE-BB Dataset
ACE-BB (Agentic e-Commerce - choice Behavior & Biases) is a set of experiments 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' choice behavior & biases.
## Paper
**ArXiv**: [https://arxiv.org/abs/XXXX.XXXXX](https://arxiv.org/abs/XXXX.XXXXX)
## Dataset Description
This dataset contains experimental data from studying how AI shopping agents behave in e-commerce settings:
### Choice Behavior & Biases Experiments
- 500 randomized scenarios per product category
- Exogenous variation in:
- Product positions (2×4 grid layout)
- Platform tags (Sponsored, Overall Pick, Scarcity)
- Product attributes (price, rating, number of reviews)
- Measures AI agent sensitivity to platform levers and product characteristics
### Dataset Subsets
- `choice_behavior`
- `market_share`
## Usage
To reproduce experiments or run on new models, please refer to the [ACES codebase](https://github.com/mycustomai/ACE).
## Citation
If you use this dataset in your research, please cite:
```bibtex
@misc{allouah2025acebb,
author = { Amine Allouah, Omar Besbes, Josué D Figueroa, Yash Kanoria and Akshit Kumar },
title = { ACE-BB (Revision 499ec41) },
year = 2025,
url = { https://huggingface.co/datasets/My-Custom-AI/ACE-BB },
doi = { 10.57967/hf/6124 },
publisher = { Hugging Face }
}
```
## License
This dataset is licensed under the MIT License and includes publically accessible data from Amazon.com.
## Contact
For questions or issues, please open a GitHub issue in the [ACES repository](https://github.com/mycustomai/ACES) or contact the authors through the paper correspondence information. |