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# PMC-OA Dataset |
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**News: We have released the PMC-OA dataset. You can choose the subset specifically.** |
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**P.S.** There's something wrong with the huggingface dataset viewer when the dataset scale gets large. |
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So we sample a subset of it to visualize it directly on web. Click [PMC-OA-Demo](https://huggingface.co/datasets/axiong/pmc_oa_demo) to view it. |
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[中文文档](./README.zh.md) |
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- [PMC-OA Dataset](#pmc-oa-dataset) |
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- [Model Zoo](#model-zoo) |
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- [Daraset Structure](#daraset-structure) |
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- [Sample](#sample) |
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## Model Zoo |
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Check it out if you want to load model pretrained on PMC-OA directly. |
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We plan to release more models pretrained on PMC-OA. Feel free to reach us if the model you want is not included in model zoo for now. |
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Also, we express our thanks to the help from the community. |
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| Model | Link | Provider | |
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| --- | --- | --- | |
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| ViT-L-14 | https://huggingface.co/ryanyip7777/pmc_vit_l_14 | @ryanyip7777 | |
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## Daraset Structure |
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**PMC-OA** (seperated images, separated caption). |
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- `images.zip`: images folder |
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- `pmc_oa.jsonl`: dataset file of pmc-oa |
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- `pmc_oa_beta.jsonl`: dataset file of pmc-oa-beta |
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~~- `train.jsonl`: metafile of train set~~ |
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~~- `valid.jsonl`: metafile of valid set~~ |
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~~- `test.jsonl`: metafile of test set~~ |
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The difference between PMC-OA & PMC-OA-Beta lies in the methods of processing captions. |
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In PMC-OA, we utilize ChatGPT to help us divide compound captions into seperate ones. |
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While PMC-OA-Beta keeps all the compound ones without division. |
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## Sample |
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A row in `pmc_oa.jsonl` is shown bellow, |
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```python |
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{ |
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"image": "PMC212319_Fig3_4.jpg", |
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"caption": "A. Real time image of the translocation of ARF1-GFP to the plasma membrane ...", |
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} |
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``` |
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Explanation to each key |
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- image: path to the image |
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- caption: corresponding to the image |
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