Datasets:
metadata
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 (see 'pdf-total' in the napierone aws bucket) converted to text via the olmOCR pipeline
- 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},
}