DatasetRank #331 of 836 208 likes

Recap-DataComp-1B

Name: Recap-DataComp-1B
Creator: UCSC-VLAA
License: https://spdx.org/licenses/CC-BY-4.0.html
Keywords: Zero-shot classification, Text retrieval, Image to text, Text to image

by UCSC-VLAA (organization)

Recap-DataComp-1B is a large-scale image-text dataset that has been recaptioned using an advanced LLaVA-1.5-LLaMA3-8B model to enhance the alignment and detail of textual descriptions. Dataset Details Dataset Description Our paper aims to bridge this community effort… (excerpt from the dataset card on Hugging Face)

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Dataset facts

Hub id: UCSC-VLAA/Recap-DataComp-1B
Likes: 208
Downloads (last 30 days): 15,678
Tasks: Zero-shot classification, Text retrieval, Image to text, Text to image
Modality: image, tabular, text
Size: 1B to 10B examples
License: CC BY 4.0 (cc-by-4.0)
Access: Open download
Author: UCSC-VLAA · Organization
Languages: Not given
Created: Jun 4, 2024
Last modified: Jan 9, 2025

Rank #331 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

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