Datasetpublic

BEE-spoke-data/napierone-pdf-nanonets-s

NapierOne PDFs: OCR'd by nanonets-s PDFs from NapierOne (see 'pdf-total' in the napierone aws bucket) converted to text with nanonets-s using this code contains results for all 4978 unique PDFs raw config is unmodified from model output, the default config has been post-processed with mdformat Citation @article{DAVIES2022301330, title = {NapierOne: A modern mixed file data set alternative to Govdocs1}, journal = {Forensic Science International: Digital… See the full description on the dataset page: https://huggingface.co/datasets/BEE-spoke-data/napierone-pdf-nanonets-s.

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NapierOne PDFs: OCR'd by nanonets-s

PDFs from NapierOne (see 'pdf-total' in the napierone aws bucket) converted to text with nanonets-s using this code

—contains results for all 4978 unique PDFs
—raw config is unmodified from model output, the default config has been post-processed with mdformat

Citation

@article{DAVIES2022301330,
  title = {NapierOne: A modern mixed file data set alternative to Govdocs1},
  journal = {Forensic Science International: Digital Investigation},
  volume = {40},
  pages = {301330},
  year = {2022},
  issn = {2666-2817},
  doi = {https://doi.org/10.1016/j.fsidi.2021.301330},
  url = {https://www.sciencedirect.com/science/article/pii/S2666281721002560},
  author = {Simon R. Davies and Richard Macfarlane and William J. Buchanan},
  keywords = {Corpus, Mixed file dataset, Govdocs1, Malware, Ransomware, Entropy, Forensics},
}