Jyuhamdik/RealSyn15M

[ACM MM25]RealSyn: An Effective and Scalable Multimodal Interleaved Document Transformation Paradigm Tiancheng Gu, Kaicheng Yang, Chaoyi Zhang, Yin Xie, Xiang An, Ziyong Feng, Dongnan Liu, Weidong Cai, Jiankang Deng 💡 Introduction Contrastive Language-Image Pre-training (CLIP) demonstrates promising performance on a wide variety of benchmarks. However, a substantial volume of non-paired data, such as multimodal interleaved documents, remains… See the full description on the dataset page: https://huggingface.co/datasets/Jyuhamdik/RealSyn15M.

<iframe src="https://silytics.si/embed/item/bf7a9b7b-5174-42c8-ade3-300123c4201a" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.