---
task_categories:
- text-generation
- summarization
language:
- en
pretty_name: Project Gutenberg Cleaned (English Only)
size_categories:
- 10K<n<100K
---

# 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](https://huggingface.co/datasets/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

```python
from datasets import load_dataset
ds = load_dataset("nikolina-p/gutenberg_clean_en", split="train", 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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Using the Project Gutenberg Trademark
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you may only distribute verbatim copies of the ebooks. No changes are allowed to the ebook contents. (Though reformatting the ebook to a different file format is considered okay).
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section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->