Published June 4, 2024
| Version v2
Dataset
Open
RU-AI: A Large Multimodal Dataset for Machine Generated Content Detection
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1.
University of Technology Sydney
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2.
University of Sydney
Description
This repository contains all the collected and aligned data for RU-AI dataset. It is constructed based on three large publicly available datasets: Flickr8K, COCO, and Places205, by adding their corresponding machine-generated pairs from five different generative models in each modality.
Files
Files
(157.5 GB)
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md5:41dd2164608af8997005398cc5e978b0
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10.7 GB | Download |
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md5:df5df1c2e8a262cbf849073d161e624d
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10.7 GB | Download |
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md5:fc3be1e89e734cdcb8bca109d7968e48
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10.7 GB | Download |
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md5:d0f09a3ba026a496196cd4953f3aa3f1
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6.9 GB | Download |
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md5:636e374707470baba69d7470924fc519
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2.9 GB | Download |
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md5:16309468bc1fe7b3c38738e5f964565d
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10.7 GB | Download |
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md5:b91b2cb23015644cdd2e3d04f9164b3f
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10.7 GB | Download |
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md5:fbade3e026ab5d3e22b5b4aef6536cce
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10.7 GB | Download |
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md5:f4187a9734e334052ebf01be92515633
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10.7 GB | Download |
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md5:0826399efda3295ed2cf7011a5b7bc00
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10.7 GB | Download |
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md5:bed185fdc15532b1ff0a1a0f3aa74668
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10.7 GB | Download |
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md5:cfc2fcd13037a5ed9bcc76da6059cfb0
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10.7 GB | Download |
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md5:070ef65b1622d8394d1859c6819f3e7d
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10.7 GB | Download |
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md5:8b8350fa8d304d258ba6a4cad8fb64aa
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5.5 GB | Download |
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md5:5f8aa397f45233953542712acc6eb4f3
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11.1 GB | Download |
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md5:c277624f7a7c035aa09f1a7a331922fd
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1.3 GB | Download |
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md5:f5ce3152c811d94279a742cd20d5955f
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11.5 GB | Download |
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md5:46604fca9147759104bdc698d1df6449
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14.3 MB | Download |
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md5:67055252003ff476ceecb9f1e4329b44
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1.0 MB | Download |
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md5:e49557fe3031f6a8ee4444c47440fec6
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27.5 MB | Download |
Additional details
Identifiers
Related works
- References
- Dataset: arXiv:1405.0312 (arXiv)
- Dataset: 10.1613/jair.3994 (DOI)
- Dataset: https://proceedings.neurips.cc/paper_files/paper/2014/file/3fe94a002317b5f9259f82690aeea4cd-Paper.pdf (URL)
- Dataset: https://openaccess.thecvf.com/content_ECCV_2018/papers/David_Harwath_Jointly_Discovering_Visual_ECCV_2018_paper.pdf (URL)
- Dataset: https://iclr.cc/virtual_2020/poster_B1elCp4KwH.html (URL)
Dates
- Available
-
2024-06-01
Software
- Repository URL
- https://github.com/ZhihaoZhang97/RU-AI
- Programming language
- Python
- Development Status
- Active
References
- Microsoft COCO: Common Objects in Context
- Framing image description as a ranking task: data, models and evaluation metrics
- Learning Deep Features for Scene Recognition using Places Database
- Jointly Discovering Visual Objects and Spoken Words from Raw Sensory Input
- Learning Hierarchical Discrete Linguistic Units from Visually-Grounded Speech