Awesome

CLIPSyntel-AAAI2024

<p align="center"> <a href="https://arxiv.org/abs/2312.11541"> <img alt="Arxiv release" src="https://img.shields.io/badge/arXiv-2305.14251-b31b1b.svg"> </a> <a href="https://huggingface.co/datasets/ArkaAcharya/MMQSD_ClipSyntel"> <img alt="Arxiv release" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/dataset-on-hf-md-dark.svg"> </a> </p> A portion of the dataset used in the paper 𝐂𝐋𝐈𝐏𝐒𝐲𝐧𝐭𝐞𝐥: 𝗖𝗟𝗜𝗣 𝗮𝗻𝗱 𝗟𝗟𝗠 𝗦𝘆𝗻𝗲𝗿𝗴𝘆 𝗳𝗼𝗿 𝗠𝘂𝗹𝘁𝗶𝗺𝗼𝗱𝗮𝗹 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻 𝗦𝘂𝗺𝗺𝗮𝗿𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗶𝗻 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 is attached.

For full access of the dataset please mail at -akashghosh.ag90@gmail.com

Update 19/8/2024 : The dataset is available through this HuggingFace Link :https://huggingface.co/datasets/ArkaAcharya/MMQSD_ClipSyntel

@misc{ghosh2023clipsyntelclipllmsynergy,
      title={CLIPSyntel: CLIP and LLM Synergy for Multimodal Question Summarization in Healthcare}, 
      author={Akash Ghosh and Arkadeep Acharya and Raghav Jain and Sriparna Saha and Aman Chadha and Setu Sinha},
      year={2023},
      eprint={2312.11541},
      archivePrefix={arXiv},
      primaryClass={cs.AI},
      url={https://arxiv.org/abs/2312.11541}, 
}