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논문 메타데이터 추출 데이터(Extraction data from paper metadata)
Outline
- The data for extracting metadata from PDF domestic papers.
- The data contains information in layout box extracted from each PDF paper with labels corresponding to metadata field types.
- The information in each layout box are unique code, text, coordinates(x0, y0, x1, y1) of box, width of box, height of box and font size.
- The file named as “train.txt” was constructed through the fully automatic inspection process. It contains a total of 5,241,746 labeled layout boxes for 295,306 papers in 503 journals. It was used as train set.
- The file named as “valid.txt” was developed through the manual inspection process by several annotators. It contains a total of 155,629 labeled layout boxes for 9,895 papers in 503 journals.
- The file named as “test.txt” was built through the manual inspection process. It contains a total of 159,925 labeled layout boxes for 10,119 papers in 503 journals. It was used as test set.
Data format(TXT)
- In the files, each layout box is separated by a newline. And each paper is separated by two newlines
- The data structure of each layout box is as follows : "Unique code"(\t)"Metadata label"(\t)"Text"(\t)"x0 value "(\s)"y0 value"(\s)"x1value"(\s)"y1value"(\s)"width value" (\s)"height value"(\s)"font size"
No. | Metadata Fields | Label |
---|---|---|
1 | Title(in Korean) | title_ko |
2 | Title(in English) | title_en |
3 | Author Name(in Korean) | author_name_ko |
4 | Author Name(in English) | author_name_en |
5 | Author Affiliation(in Korean) | ko_org |
6 | Author Affiliation(in English) | en_org |
7 | Abstract(in Korean) | abstract_ko |
8 | Abstract(in English) | abstract_en |
9 | Keywords(in Korean) | kwds_ko |
10 | Keywords(in English) | kwds_en |
11 | DOI | doi |
12 | Journal name | journal |
13 | Out of Boundary | O |
Data statistics
Data | File name | #Journal | #Paper | #Layout Box |
---|---|---|---|---|
Train set | train.txt | 503 | 295,306 | 5,241,746 |
Valid set | valid.txt | 503 | 9,895 | 155,629 |
Test set | test.txt | 503 | 10,119 | 159,925 |
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