metadata
dataset_info:
features:
- name: image
dtype: image
- name: detailed_prompt
dtype: string
- name: control_seg
dtype: image
- name: seg_map
sequence:
sequence: uint8
- name: image_path
dtype: string
- name: prompt
dtype: string
splits:
- name: train
num_bytes: 11095603078.08
num_examples: 20210
- name: validation
num_bytes: 1128604170
num_examples: 2000
download_size: 7044514076
dataset_size: 12224207248.08
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
task_categories:
- image-segmentation
This dataset is used for training and evaluating conditional image generation models, as described in the paper Ctrl-U: Robust Conditional Image Generation via Uncertainty-aware Reward Modeling.
Project page: https://grenoble-zhang.github.io/Ctrl-U-Page/