Dataset · Hugging Face

worldrl/WorldGenBench

Name: WorldGenBench
Creator: worldrl
License: mit
Keywords: task_categories:text-to-image, language:en, license:mit, size_categories:1K<n<10K, format:json, modality:text, library:datasets, library:dask, library:mlcroissant, arxiv:2505.01490, region:us, reasoning-datasets-competition, art

📚 WorldGenBench A World-Knowledge-Integrated Benchmark/Dataset for Reasoning-Driven Text-to-Image Generation Paper Link: https://huggingface.co/papers/2505.01490 Purpose and Scope WorldGenBench is designed to systematically evaluate text-to-image (T2I) models on two critical but underexplored capabilities: World Knowledge Grounding: Understanding background facts assumed but not explicitly stated in prompts. Implicit Reasoning: Inferring necessary… See the full description on the dataset page: https://huggingface.co/datasets/worldrl/WorldGenBench.

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Author / organization	worldrl
License (as declared)	mit
Downloads	355 (as reported by Hugging Face)
Likes	6
Created	14 April 2025
Last updated at source	12 May 2025

reasoning-datasets-competitionart

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