---
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):

1. **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”).

2. **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.