README
PMC-Inline Dataset
This is the text parts and the figure parts can be dowloaded from https://pan.baidu.com/s/1Src_rhXsaOFp8zJ_3zMFsQ?pwd=p3ne.
Dataset Structure
PMC-Inline (PMC papers with inline figures).
We collect the cc lincense papers from pubmed central and remoce the bib, author info, table and iamge captions in the original paper xml files.
Based on the inline figure ref, we link back 11M images into the paper contexts.
Each paper is organized as a PMCxxxxxxx.json. xxxxxxx refers to the paper unique PMCid
Sample
A json in dataset is organized as bellow,
| info | {"article-type": "research-article", "pmid": "17925856", "pmc": "PMC1999654", "publisher-id": "07-PONE-RA-01026R1", "doi": "10.1371/journal.pone.0001008"} |
|---|---|
| text | \nPredicting Spatial Patterns of Plant Recruitment Using Animal-Displacement Kernels\nFor plants ... |
| img_ref | [{"id": "pone-0001008-g001", "start": 9177, "end": 9185}, {"id": "pone-0001008-g001", "start": 10715, "end": 10723}, ...] |
Explanation to each key
- info: some info. about the paper, like paper type, pmid, pmc id and so on.
- text: a string whihc is the paper content.
- img_ref: a list which contains which image and where it is referred in the original paper. For example {"id": "pone-0001008-g001", "start": 9177, "end": 9185} denotes the fig pone-0001008-g001 have been metioned in the text string at index 9177-9185.
You can get the image form our PMC figure parts, and fig is named unified as PMCxxxxxxx_figid.jpg like PMC1999654_pone-0001008-g001.jpg
Note that, our PMC figures are collected before PMC-Inline, and during the time window, some papers have been updated. Thus some figures may be missed in our figure base.
Similar repos
README
PMC-Inline Dataset
This is the text parts and the figure parts can be dowloaded from https://pan.baidu.com/s/1Src_rhXsaOFp8zJ_3zMFsQ?pwd=p3ne.
Dataset Structure
PMC-Inline (PMC papers with inline figures).
We collect the cc lincense papers from pubmed central and remoce the bib, author info, table and iamge captions in the original paper xml files.
Based on the inline figure ref, we link back 11M images into the paper contexts.
Each paper is organized as a PMCxxxxxxx.json. xxxxxxx refers to the paper unique PMCid
Sample
A json in dataset is organized as bellow,
| info | {"article-type": "research-article", "pmid": "17925856", "pmc": "PMC1999654", "publisher-id": "07-PONE-RA-01026R1", "doi": "10.1371/journal.pone.0001008"} |
|---|---|
| text | \nPredicting Spatial Patterns of Plant Recruitment Using Animal-Displacement Kernels\nFor plants ... |
| img_ref | [{"id": "pone-0001008-g001", "start": 9177, "end": 9185}, {"id": "pone-0001008-g001", "start": 10715, "end": 10723}, ...] |
Explanation to each key
- info: some info. about the paper, like paper type, pmid, pmc id and so on.
- text: a string whihc is the paper content.
- img_ref: a list which contains which image and where it is referred in the original paper. For example {"id": "pone-0001008-g001", "start": 9177, "end": 9185} denotes the fig pone-0001008-g001 have been metioned in the text string at index 9177-9185.
You can get the image form our PMC figure parts, and fig is named unified as PMCxxxxxxx_figid.jpg like PMC1999654_pone-0001008-g001.jpg
Note that, our PMC figures are collected before PMC-Inline, and during the time window, some papers have been updated. Thus some figures may be missed in our figure base.