README.md

metadata

annotations_creators:
  - IsmaelMousa
language:
  - en
language_creators:
  - expert-generated
license:
  - apache-2.0
multilinguality:
  - monolingual
paperswithcode_id: bookcorpus
pretty_name: books
size_categories:
  - n<1K
source_datasets:
  - original
tags:
  - books
  - categories
  - nlp
  - adventure
  - biographies
  - children
  - classic
  - fantasy
  - historical
  - mystery
  - romance
  - science-fiction
task_categories:
  - text-generation
  - fill-mask
task_ids:
  - language-modeling
  - masked-language-modeling

Books

The books dataset consists of a diverse collection of books organized into 9 categories, it splitted to train, validation where the train contains 40 books, and the validation 9 books.

This dataset is cleaned well and designed to support various natural language processing (NLP) tasks, including text generation and masked language modeling.

Details

The dataset contains 4 columns:

• title: The tilte of the book.
• author: The author of the book.
• category: The genre/category of the book.
• EN: The whole content of the book, in english. it's very very clean.

Tasks:

• Text Generation
• Fill-Mask

Categories

The dataset is organized into the following categories:

1. Adventure: 5 books.
2. Biographies: 3 books.
3. Children: 4 books.
4. Classic: 7 books.
5. Fantasy: 3 books.
6. Historical: 6 books.
7. Mystery: 7 books.
8. Romance: 5 books.
9. Science-Fiction: 9 books.

Splits

The dataset is splitted into the following splits:

1. train: 40 books.
2. validation: 9 books, 1 book from each category.

Usage

The books collection dataset is ideal for training and evaluating models for text generation and language modeling, it provides a broad range of genres and styles, making it a valuable resource for diverse NLP applications.

And here is an example of usage:

from datasets import load_dataset

books = load_dataset("IsmaelMousa/books", split="train")

print(books["EN"][0][:500])

output:

CHAPTER I. START IN LIFE


I was born in the year 1632, in the city of York, of a good family,
though not of that country, my father being a foreigner of Bremen, who
settled first at Hull. He got a good estate by merchandise, and leaving
off his trade, lived afterwards at York, from whence he had married my
mother, whose relations were named Robinson, a very good family in that
country, and from whom I was called Robinson Kreutznaer; but, by the
usual corruption of words in England, we are now c

Source

The books in this dataset are sourced from Project Gutenberg, an open-source digital library offering a vast collection of literary works.

License

The rights to the books are reserved by their respective authors. This dataset is provided under the Apache 2.0 license for both personal and commercial use, with proper attribution.