---
dataset_info:
- config_name: chunked-4096
  features:
  - name: id
    dtype: string
  - name: text
    dtype: string
  - name: source
    dtype: string
  - name: added
    dtype: timestamp[us]
  - name: created
    dtype: timestamp[us]
  - name: metadata
    struct:
    - name: Source-File
      dtype: string
    - name: olmocr-version
      dtype: string
    - name: pdf-total-pages
      dtype: int64
    - name: total-fallback-pages
      dtype: int64
    - name: total-input-tokens
      dtype: int64
    - name: total-output-tokens
      dtype: int64
  - name: attributes
    struct:
    - name: pdf_page_numbers
      sequence:
        sequence: int64
  - name: chunk_id
    dtype: int64
  - name: original_id
    dtype: string
  splits:
  - name: train
    num_bytes: 240028507
    num_examples: 14754
  download_size: 88286371
  dataset_size: 240028507
- config_name: default
  features:
  - name: id
    dtype: string
  - name: text
    dtype: string
  - name: source
    dtype: string
  - name: added
    dtype: timestamp[s]
  - name: created
    dtype: timestamp[s]
  - name: metadata
    struct:
    - name: Source-File
      dtype: string
    - name: olmocr-version
      dtype: string
    - name: pdf-total-pages
      dtype: int64
    - name: total-input-tokens
      dtype: int64
    - name: total-output-tokens
      dtype: int64
    - name: total-fallback-pages
      dtype: int64
  - name: attributes
    struct:
    - name: pdf_page_numbers
      sequence:
        sequence: int64
  splits:
  - name: train
    num_bytes: 178667251.98773006
    num_examples: 4228
  download_size: 79820485
  dataset_size: 178667251.98773006
configs:
- config_name: chunked-4096
  data_files:
  - split: train
    path: chunked-4096/train-*
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: apache-2.0
language:
- en
task_categories:
- text-generation
- feature-extraction
tags:
- ocr
- document
---

# NapierOne PDFs - converted with olmOCR

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)

- outputs with <= 100 chars and 'low quality pdfs' were filtered out
- the 4228 rows in default config represent approx 93,595 input PDF pages


## 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},
}
```