Dataset · Hugging Face

Ajax102/OmniCap-400M

Name: OmniCap-400M
Creator: Ajax102
License: mit
Keywords: task_categories:image-to-text, task_categories:text-to-image, annotations_creators:machine-generated, multilinguality:multilingual, source_datasets:web-scraped, language:en, language:zh, license:mit, size_categories:100M<n<1B, format:parquet, modality:tabular, modality:text, library:datasets, library:dask, library:polars

OmniCap-400M OmniCap-400M is a large-scale, general-purpose image-text dataset containing 400 million diverse image-caption pairs collected from the open web. It is designed to support a wide range of multimodal research tasks, including vision-language pretraining, image captioning, cross-modal retrieval, and text-to-image generation. Each entry includes rich metadata to facilitate filtering, deduplication, and analysis. Dataset Structure The dataset is stored in… See the full description on the dataset page: https://huggingface.co/datasets/Ajax102/OmniCap-400M.

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Author / organization	Ajax102
License (as declared)	mit
Downloads	875 (as reported by Hugging Face)
Likes	1
Created	12 January 2026
Last updated at source	13 January 2026

image-text-pairslarge-scalemultimodalcaptioningretrieval

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