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@@ -29,7 +29,7 @@ This dataset is for ["2.5 Years in Class: A Multimodal Textbook for Vision-Langu
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  - It contains **pre-training corpus using interleaved image-text format**. Specifically, our multimodal-textbook includes **6.5M keyframes** extracted from instructional videos, interleaving with 0.8B **ASR texts**.
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  - All the images and text are extracted from online instructional videos (22,000 class hours), covering multiple fundamental subjects, e.g., mathematics, physics, and chemistry.
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  - Our textbook corpus providing a more coherent context and richer knowledge for image-text aligning.
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- - Our code can be found in [Multimodal-Textbook](https://huggingface.co/datasets/zwq2018/Multi-modal-Self-instruct).
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  - It contains **pre-training corpus using interleaved image-text format**. Specifically, our multimodal-textbook includes **6.5M keyframes** extracted from instructional videos, interleaving with 0.8B **ASR texts**.
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  - All the images and text are extracted from online instructional videos (22,000 class hours), covering multiple fundamental subjects, e.g., mathematics, physics, and chemistry.
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  - Our textbook corpus providing a more coherent context and richer knowledge for image-text aligning.
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+ - Our code can be found in [Multimodal-Textbook](https://github.com/DAMO-NLP-SG/multimodal_textbook/tree/master).
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