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README.md

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 pretty_name: Object State Bench
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+---
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+# 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 frying pan without any food”).
+
+Both datasets are **prompt‑only** (no images or labels) and intended **exclusively for evaluation**.
+
+- **Curated by:** Tianle Chen et al.  
+- **Based on paper:** “Improving Physical Object State Representation in Text‑to‑Image Generative Systems”  
+- **License:** Creative Commons Attribution 4.0 International (CC BY 4.0).
+
+## 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.