id stringlengths 4 11	text stringlengths 895 7.08M
41496-8	"E-text prepared by the Online Distributed Proofreading Team (http://www.pgdp.net) from page images (...TRUNCATED)
7529-0	"Produced by Eve Sobol\n\nTHE REVERBERATOR\n\nBy Henry James\n\nI\n\n“I guess my daughter’s in h(...TRUNCATED)
25056-8	"Produced by David Widger\n\nTHE BROTHERS-IN-LAW: A TALE OF THE EQUATORIAL ISLANDS, and THE BRASS GU(...TRUNCATED)
48941-8	"Produced by Brian Coe, Moti Ben-Ari and the Online Distributed Proofreading Team at http://www.pgdp(...TRUNCATED)
35338-8	"Produced by Eleni Christofaki, Juliet Sutherland and the Online Distributed Proofreading Team at ht(...TRUNCATED)
21060-8	"Produced by Nick Hodson of London, England\n\nThe Congo Rovers A Story of the Slave Squadron\n\nBy (...TRUNCATED)
22782-8	"Produced by Marilynda Fraser-Cunliffe, Sankar Viswanathan, and the Online Distributed Proofreading (...TRUNCATED)
38207-0	"E-text prepared by Bryan Ness, Turgut Dincer, and the Online Distributed Proofreading Team (http://(...TRUNCATED)
61830-0	"Produced by KD Weeks, David Edwards and the Online Distributed Proofreading Team at https://www.pgd(...TRUNCATED)
59467-8	"Produced by Annie R. McGuire\n\n[Illustration: HARPER'S ROUND TABLE]\n\nCopyright, 1896, by HARPER (...TRUNCATED)

Dataset Card for Project Gutenberg Cleaned (English Only) Dataset

This dataset is a cleaned English-language subset of the Project Gutenberg Dataset manu/project_gutenberg, originally containing ~70,000 digitized books. The original dataset includes multiple languages, duplicate entries, and boilerplate content, all of which were removed for practicality and cleaner downstream use. This dataset containg 38.026 books.

Cleaning and Preprocessing

The following steps were applied to prepare this dataset:

✅ Filtered English split only (config='en')

🧹 Removed Project Gutenberg headers and footers from each book (boilerplate license & metadata sections)

✂️ Removed excessive whitespace and blank lines

🔁 Deduplicated entries based on book ID. Some books were present multiple times in the original dataset with identical content. These were removed to preserve only one copy per unique book ID.

Usage

from datasets import load_dataset
ds = load_dataset("nikolina-p/gutenberg_clean_tokenized_en_splits", split="fr", streaming=True)
print(next(iter(ds)))

License

The data is derived from Project Gutenberg and is in the public domain.

Full license is available here: https://www.gutenberg.org/policy/license.html

Summary

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