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  - split: data
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+ # ACE-BB Dataset
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+
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+ 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.
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+ The dataset enables controlled experiments on AI shopping behavior by providing synthetic tasks which evaluate agents' choice behavior & biases.
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+
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+ ## Paper
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+
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+ **ArXiv**: [https://arxiv.org/abs/XXXX.XXXXX](https://arxiv.org/abs/XXXX.XXXXX)
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+
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+ ## Dataset Description
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+ This dataset contains experimental data from studying how AI shopping agents behave in e-commerce settings:
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+ ### Choice Behavior & Biases Experiments
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+ - 500 randomized scenarios per product category
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+ - Exogenous variation in:
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+ - Product positions (2×4 grid layout)
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+ - Platform tags (Sponsored, Overall Pick, Scarcity)
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+ - Product attributes (price, rating, number of reviews)
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+ - Measures AI agent sensitivity to platform levers and product characteristics
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+
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+ ### Dataset Subsets
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+
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+ - `choice_behavior`
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+ - `market_share`
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+
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+ ## Usage
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+
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+ To reproduce experiments or run on new models, please refer to the [ACES codebase](https://github.com/mycustomai/ACE).
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+
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+ ## Citation
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+
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+ If you use this dataset in your research, please cite:
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+
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+ ```bibtex
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+ @article{allouah2025aces,
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+ title={What is your AI Agent buying? Evaluation, Implications and Emerging Questions for Agentic e-Commerce},
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+ author={Allouah, Amine and Besbes, Omar and Figueroa, Josué D and Kanoria, Yash and Kumar, Akshit},
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+ journal={arXiv preprint arXiv:XXXX.XXXXX},
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+ year={2025}
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+ }
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+ ```
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+
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+ ## License
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+
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+ This dataset is licensed under the MIT License and includes publically accessible data from Amazon.com.
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+
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+ ## Contact
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+
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+ 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.