metadata
language:
- en
tags:
- Image_Generation
pretty_name: Object State Bench
size_categories:
- n<1K
Dataset Card: Object State Bench & GenAI‑Object‑State
Dataset Details
Dataset Description
This repository provides two English‐only prompt collections designed to evaluate text‑to‑image models on their ability to depict object absence (empty or negated states):
Object State Bench
- Size: 200 prompts
- Origin: 100 prompts from a fully‑automatic synthetic pipeline; 100 prompts authored by human annotators.
- Focus: Common objects explicitly in empty or absent states (e.g., “A table without any bottle on it”).
GenAI‑Object‑State
- Size: 214 prompts
- Origin: Manually filtered subset of GenAI‑Bench’s “negation” category, retaining only prompts requiring object absence.
- Focus: Negation examples (e.g., “A vase with water, but no flowers to nourish”).
Both datasets are prompt‑only (no images or labels) and intended exclusively for evaluation.
- Curated by: Tianle Chen, Chaitanya Chakka, Deepti Ghadiyaram et al.
- Based on paper: “Improving Physical Object State Representation in Text‑to‑Image Generative Systems”
Uses
Direct Use
- Evaluation of text‑to‑image models: compute metrics such as CLIP‑Score, VQA‑Score, or GPT‑based correctness on generated images for each prompt.
Out‑of‑Scope Use
- Training: these lists lack paired ground‑truth images.
- Non‑English prompts: prompts are English only.
Dataset Structure
All files are flat JSON lists of strings, with no splits.