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- # PMC-OA-Beta Dataset
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- **News: We are about to release the PMC-OA dataset, there would be a link redirecting you to PMC-OA as soon as it's ready.**
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  [中文文档](./README.zh.md)
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  ## Daraset Structure
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  **PMC-OA** (seperated images, separated caption).
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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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  - `images.zip`: images folder
 
 
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- **PMC-OA Beta** is dataset of (seperated images, whole caption). And it's structure is the same as PMC-OA.
 
 
 
 
 
 
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  ## Sample
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- A row in `train.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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- "pmcid": "PMC212319",
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- "url_name": "1471-2121-4-13-3.jpg"
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  }
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  ```
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  - image: path to the image
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  - caption: corresponding to the image
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- - pmcid: source paper's PMCID of the image
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- - url_name: image name in the web link
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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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  [中文文档](./README.zh.md)
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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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+
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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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  - image: path to the image
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  - caption: corresponding to the image
 
 
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