CSU-JPG/Textground4M

TextGround4M: A Prompt-Aligned Dataset for Layout-Aware Text Rendering TextGround4M is a large-scale dataset for prompt-grounded, layout-aware text rendering in text-to-image (T2I) generation, introduced in our AAAI 2026 paper. Dataset Summary TextGround4M contains 4.1 million prompt-image pairs, each annotated with: A natural language caption where all rendered text spans are explicitly quoted Span-level bounding boxes linking each quoted… See the full description on the dataset page: https://huggingface.co/datasets/CSU-JPG/Textground4M.

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