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metadata
dataset_info:
  - config_name: choice_behavior
    features:
      - name: query
        dtype: string
      - name: experiment_label
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      - name: sponsored
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      - name: price
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      - name: overall_pick
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      - name: best_seller
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      - name: limited_time
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      - name: discounted
        sequence: bool
      - name: low_stock
        sequence: bool
      - name: stock_quantity
        sequence: int64
      - name: position_in_experiment
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      - name: assigned_position
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      - name: desired_choice
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      - name: original_price
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      - name: original_rating
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      - name: screenshot
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        num_examples: 4500
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  - config_name: market_share
    features:
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        dtype: string
      - name: experiment_label
        dtype: string
      - name: experiment_number
        dtype: int64
      - name: sku
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      - name: title
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      - name: url
        sequence: string
      - name: image_url
        sequence: string
      - name: sponsored
        sequence: bool
      - name: rating
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      - name: rating_count
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      - name: price
        sequence: float64
      - name: overall_pick
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      - name: best_seller
        sequence: bool
      - name: limited_time
        sequence: bool
      - name: discounted
        sequence: bool
      - name: low_stock
        sequence: bool
      - name: stock_quantity
        sequence: int64
      - name: position_in_experiment
        sequence: int64
      - name: assigned_position
        sequence: int64
      - name: desired_choice
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      - name: original_price
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      - name: original_rating
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      - name: original_rating_count
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      - name: screenshot
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configs:
  - config_name: choice_behavior
    data_files:
      - split: data
        path: choice_behavior/data-*
  - config_name: market_share
    data_files:
      - split: data
        path: market_share/data-*

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

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.

Citation

If you use this dataset in your research, please cite:

@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 or contact the authors through the paper correspondence information.