| # PMC-Inline Dataset | |
| - [PMC-Inline Dataset](#pmc-inline-dataset) | |
| - [Daraset Structure](#dataset-structure) | |
| - [Sample](#sample) | |
| ## 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 repo, 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. |