Datasets:

OpenGVLab
/

OmniCorpus-YT

Tasks:

Video-Text-to-Text

Visual Question Answering

Languages:

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ArXiv:

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   <h1 align="center">🐳 OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text</h1>
 </p>
-This is the repository of OmniCorpus-CC, which contains 988 million image-text interleaved documents collected from [Common Crawl](https://commoncrawl.org/).
 - Repository: https://github.com/OpenGVLab/OmniCorpus
 - Paper (ICLR 2025 Spotlight): https://arxiv.org/abs/2406.08418

   <h1 align="center">🐳 OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text</h1>
 </p>
+This is the repository of OmniCorpus-YT, which contains 10 million image-text interleaved documents collected from Youtube videos.
 - Repository: https://github.com/OpenGVLab/OmniCorpus
 - Paper (ICLR 2025 Spotlight): https://arxiv.org/abs/2406.08418