A multi-image dataset based on social media

This report uses social media blog posts as the original data. By utilizing blog text and related images, high-quality blog screenshots are constructed. Additionally, to demonstrate the unique social attributes of social media, each data sample includes multiple social media posts along correspondin...

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Main Author: Gan, Junjie
Other Authors: Alex Chichung Kot
Format: Thesis-Master by Coursework
Language:English
Published: Nanyang Technological University 2025
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Online Access:https://hdl.handle.net/10356/182236
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1822362025-01-20T00:47:14Z A multi-image dataset based on social media Gan, Junjie Alex Chichung Kot School of Electrical and Electronic Engineering Rapid-Rich Object Search (ROSE) Lab EACKOT@ntu.edu.sg Computer and Information Science Multimodal This report uses social media blog posts as the original data. By utilizing blog text and related images, high-quality blog screenshots are constructed. Additionally, to demonstrate the unique social attributes of social media, each data sample includes multiple social media posts along corresponding question-answer pairs, which are used to test multimodal large language models' comprehension abilities on multimodal multi-image datasets. Master's degree 2025-01-20T00:47:14Z 2025-01-20T00:47:14Z 2025 Thesis-Master by Coursework Gan, J. (2025). A multi-image dataset based on social media. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/182236 https://hdl.handle.net/10356/182236 en ISM-DISS-04788 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Computer and Information Science
Multimodal
spellingShingle Computer and Information Science
Multimodal
Gan, Junjie
A multi-image dataset based on social media
description This report uses social media blog posts as the original data. By utilizing blog text and related images, high-quality blog screenshots are constructed. Additionally, to demonstrate the unique social attributes of social media, each data sample includes multiple social media posts along corresponding question-answer pairs, which are used to test multimodal large language models' comprehension abilities on multimodal multi-image datasets.
author2 Alex Chichung Kot
author_facet Alex Chichung Kot
Gan, Junjie
format Thesis-Master by Coursework
author Gan, Junjie
author_sort Gan, Junjie
title A multi-image dataset based on social media
title_short A multi-image dataset based on social media
title_full A multi-image dataset based on social media
title_fullStr A multi-image dataset based on social media
title_full_unstemmed A multi-image dataset based on social media
title_sort multi-image dataset based on social media
publisher Nanyang Technological University
publishDate 2025
url https://hdl.handle.net/10356/182236
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