metadata
license: mit
dataset_info:
features:
- name: img
dtype: image
- name: question
dtype: string
- name: choices
dtype: string
- name: answer_0
dtype: string
- name: answer_1
dtype: string
- name: answer_2
dtype: string
- name: answer_3
dtype: string
- name: answer_4
dtype: string
- name: gt
dtype: string
- name: avg_rating
dtype: float64
- name: category
dtype: int64
splits:
- name: bounding_box
num_bytes: 3981007
num_examples: 36
- name: non_bounding_box
num_bytes: 9377519
num_examples: 76
download_size: 7697970
dataset_size: 13358526
configs:
- config_name: default
data_files:
- split: non_bounding_box
path: data/non_bounding_box-*
- split: bounding_box
path: data/bounding_box-*
This is the visual human preferences dataset with both the bounding-box and non-bounding-box variants from the paper "A Dataset for Dynamic Human Preferences for Vision Language Models".
Data Attribution
Images in this benchmark dataset are sourced from the Visual Genome Dataset (Version 1.2). Images were modified to include bounding boxes.
- The Visual Genome dataset is licensed under Creative Commons Attribution 4.0 International License
The original Visual Genome Dataset was introduced in:
@article{krishna2017visual,
title={Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations},
author={Ranjay Krishna and Yuke Zhu and Oliver Groth and Justin Johnson and Kenji Hata and Joshua Kravitz and Stephanie Chen and Yannis Kalantidis and Li-Jia Li and David A. Shamma and Michael S. Bernstein and Li Fei-Fei},
journal={International Journal of Computer Vision},
year={2017},
volume={123},
pages={32-73},
url={https://doi.org/10.1007/s11263-016-0981-7},
doi={10.1007/s11263-016-0981-7}
}