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  PDFs from [NapierOne](https://github.com/simonrdavies/NapierOne) (see 'pdf-total' in the [napierone aws bucket](http://napierone.com.s3.eu-north-1.amazonaws.com/NapierOne/index.html#NapierOne/Data/PDF/)) converted to text via the [olmOCR pipeline](https://github.com/allenai/olmocr)
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  - outputs with <= 100 chars and 'low quality pdfs' were filtered out
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- - the 4228 rows in default config represent approx 93,595 input PDF pages
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  PDFs from [NapierOne](https://github.com/simonrdavies/NapierOne) (see 'pdf-total' in the [napierone aws bucket](http://napierone.com.s3.eu-north-1.amazonaws.com/NapierOne/index.html#NapierOne/Data/PDF/)) converted to text via the [olmOCR pipeline](https://github.com/allenai/olmocr)
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  - outputs with <= 100 chars and 'low quality pdfs' were filtered out
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+ - the 4228 rows in default config represent approx 93,595 input PDF pages
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+ ## Citation
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+ ```
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+ @article{DAVIES2022301330,
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+ title = {NapierOne: A modern mixed file data set alternative to Govdocs1},
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+ journal = {Forensic Science International: Digital Investigation},
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+ volume = {40},
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+ pages = {301330},
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+ year = {2022},
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+ issn = {2666-2817},
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+ doi = {https://doi.org/10.1016/j.fsidi.2021.301330},
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+ url = {https://www.sciencedirect.com/science/article/pii/S2666281721002560},
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+ author = {Simon R. Davies and Richard Macfarlane and William J. Buchanan},
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+ keywords = {Corpus, Mixed file dataset, Govdocs1, Malware, Ransomware, Entropy, Forensics},
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+ }
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+ ```