DatasetRank #425 of 836 177 likes

monet

Name: monet
Creator: jasperai
License: https://spdx.org/licenses/Apache-2.0.html
Keywords: Text to image, Image feature extraction, Zero-shot image classification

by jasperai (organization)

MONET (Massive, Open, Non-redundant and Enriched Text-to-image dataset) is a large-scale, curated image-text dataset designed for training text-to-image (T2I) systems. It contains 103.8 million high-quality image-text pairs distilled from 2.9 billion raw pairs across nine… (excerpt from the dataset card on Hugging Face)

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Dataset facts

Hub id: jasperai/monet
Likes: 177
Downloads (last 30 days): 218,322
Tasks: Text to image, Image feature extraction, Zero-shot image classification
Modality: image, text
Size: 100M to 1B examples
License: Apache 2.0 (apache-2.0)
Access: Open download
Author: jasperai · Organization
Languages: en
Created: Apr 28, 2026
Last modified: Jul 2, 2026

Rank #425 of 836 datasets in AI on Hugging Face, by likes. Data from the Hugging Face Hub API, fetched Oct 18, 2026. Likes measure popularity, not quality or safety. Downloads are for the last 30 days, as the Hub reports them; counts change daily. A listing is not an endorsement. How this list is made

Dataset facts

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