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isaacchung yizhilll commited on
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Duplicate from m-a-p/SciMMIR

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Co-authored-by: Yizhi Li <yizhilll@users.noreply.huggingface.co>

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+ *.7z filter=lfs diff=lfs merge=lfs -text
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+ *.arrow filter=lfs diff=lfs merge=lfs -text
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+ *.bz2 filter=lfs diff=lfs merge=lfs -text
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+ *.ftz filter=lfs diff=lfs merge=lfs -text
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+ *.gz filter=lfs diff=lfs merge=lfs -text
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+ *.h5 filter=lfs diff=lfs merge=lfs -text
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+ *.joblib filter=lfs diff=lfs merge=lfs -text
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+ *.lfs.* filter=lfs diff=lfs merge=lfs -text
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+ *.lz4 filter=lfs diff=lfs merge=lfs -text
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+ *.mlmodel filter=lfs diff=lfs merge=lfs -text
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+ *.pth filter=lfs diff=lfs merge=lfs -text
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+ *.rar filter=lfs diff=lfs merge=lfs -text
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+ *.safetensors filter=lfs diff=lfs merge=lfs -text
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+ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+ *.tar.* filter=lfs diff=lfs merge=lfs -text
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+ *.tar filter=lfs diff=lfs merge=lfs -text
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+ *.zst filter=lfs diff=lfs merge=lfs -text
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+ *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ # Audio files - uncompressed
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+ *.pcm filter=lfs diff=lfs merge=lfs -text
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+ *.sam filter=lfs diff=lfs merge=lfs -text
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+ *.raw filter=lfs diff=lfs merge=lfs -text
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+ # Audio files - compressed
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+ ---
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+ configs:
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+ - config_name: default
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+ data_files:
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+ - split: train
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+ path: data/train-*
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+ - split: validation
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+ path: data/validation-*
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+ - split: test
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+ path: data/test-*
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+ dataset_info:
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+ features:
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+ - name: image
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+ dtype: image
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+ - name: file_name_index
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+ dtype: string
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+ - name: text
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+ dtype: string
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+ - name: class
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+ dtype: string
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+ - name: super_class
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+ dtype: string
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+ - name: sub_class
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+ dtype: string
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+ - name: split
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+ dtype: string
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+ splits:
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+ - name: train
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+ num_bytes: 59242453844.635
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+ num_examples: 498279
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+ - name: validation
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+ num_examples: 16433
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+ - name: test
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+ num_bytes: 1874022111.346
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+ num_examples: 16263
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+ download_size: 63729889852
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+ dataset_size: 62900112549.824005
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+ ---
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+ # Dataset Card for "SciMMIR_dataset"
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+ ## SciMMIR
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+
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+ This is the repo for the paper [SciMMIR： Benchmarking Scientific Multi-modal Information Retrieval](https://arxiv.org/abs/2401.13478).
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+
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+ ![main_result](./imgs/Framework.png)
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+
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+ In this paper, we propose a novel SciMMIR benchmark and a corresponding dataset designed to address the gap in evaluating multi-modal information retrieval (MMIR) models in the scientific domain.
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+
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+ It is worth mentioning that we define a data hierarchical architecture of "Two subsets, Five subcategories" and use human-created keywords to classify the data (as shown in the table below).
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+
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+ ![main_result](./imgs/data_architecture.png)
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+
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+
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+ As shown in the table below, we conducted extensive baselines (both fine-tuning and zero-shot) within various subsets and subcategories.
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+
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+ ![main_result](./imgs/main_result.png)
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+
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+ For more detailed experimental results and analysis, please refer to our paper [SciMMIR](https://arxiv.org/abs/2401.13478).
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+
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+ ## Dataset
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+
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+ Our SciMMIR benchmark dataset used in this paper contains 537K scientific image-text pairs which are extracted from the latest 6 months' papers in Arxiv (2023.05 to 2023.10), and we will continue to expand this data by extracting data from more papers in Arxiv and provide larger versions of the dataset.
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+
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+ The datasets can be obtained from huggingface Datasets [m-a-p/SciMMIR](https://huggingface.co/datasets/m-a-p/SciMMIR), and the following codes show how to use it:
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+
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+ ```python
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+ import datasets
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+ ds_remote = datasets.load_dataset("m-a-p/SciMMIR")
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+ test_data = ds_remote['test']
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+ caption = test_data[0]['text']
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+ image_type = test_data[0]['class']
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+ image = test_data[0]['image']
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+ ```
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+
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+ ## Codes
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+ The codes of this paper can be found in our [Github](https://github.com/Wusiwei0410/SciMMIR)
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+
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+ ## Potential TODOs before ACL
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+
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+ **TODO**: case study table
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+
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+ **TODO**: statistics of the paper fields (perhaps in appendix)
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+
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+ **TODO**: See if it's possible to further divide the "Figure Results" subsets.
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+
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+ ## Citation
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+
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+ ```
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+ @misc{wu2024scimmir,
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+ title={SciMMIR: Benchmarking Scientific Multi-modal Information Retrieval},
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+ author={Siwei Wu and Yizhi Li and Kang Zhu and Ge Zhang and Yiming Liang and Kaijing Ma and Chenghao Xiao and Haoran Zhang and Bohao Yang and Wenhu Chen and Wenhao Huang and Noura Al Moubayed and Jie Fu and Chenghua Lin},
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+ year={2024},
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+ eprint={2401.13478},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.IR}
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+ }
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+ ```
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+
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+
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+ [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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