dataset_info:
- config_name: choice_behavior
features:
- name: query
dtype: string
- name: experiment_label
dtype: string
- name: experiment_number
dtype: int64
- name: sku
sequence: string
- name: title
sequence: string
- name: url
sequence: string
- name: image_url
sequence: string
- name: sponsored
sequence: bool
- name: rating
sequence: float64
- name: rating_count
sequence: int64
- name: price
sequence: float64
- name: overall_pick
sequence: bool
- 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
sequence: int64
- name: original_price
sequence: float64
- name: original_rating
sequence: float64
- name: original_rating_count
sequence: int64
- name: screenshot
dtype: image
splits:
- name: data
num_bytes: 1546477709.5
num_examples: 4500
download_size: 1495229852
dataset_size: 1546477709.5
- config_name: market_share
features:
- name: query
dtype: string
- name: experiment_label
dtype: string
- name: experiment_number
dtype: int64
- name: sku
sequence: string
- name: title
sequence: string
- name: url
sequence: string
- name: image_url
sequence: string
- name: sponsored
sequence: bool
- name: rating
sequence: float64
- name: rating_count
sequence: int64
- name: price
sequence: float64
- name: overall_pick
sequence: bool
- 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
sequence: int64
- name: original_price
sequence: float64
- name: original_rating
sequence: float64
- name: original_rating_count
sequence: int64
- name: screenshot
dtype: image
splits:
- name: data
num_bytes: 1529079760
num_examples: 4500
download_size: 1477239608
dataset_size: 1529079760
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_behaviormarket_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.