datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
booksum
BOOKSUM: A Collection of Datasets for Long-form Narrative Summarization
Authors: Wojciech Kryściński, Nazneen Rajani, Divyansh Agarwal, Caiming Xiong, Dragomir Radev
Introduction
The majority of available text summarization datasets include short-form source documents that lack long-range causal and temporal dependencies, and often contain strong layout and stylistic biases.
While relevant, such datasets will offer limited challenges for future generations of text… See the full description on the dataset page: https://huggingface.co/datasets/kmfoda/booksum.Goodreads-Books
Dataset Card for "BrightData/Goodreads-Books"
Dataset Summary
Explore a collection of millions of books with the Goodreads dataset, comprising over 6.3M structured records and 14 data fields updated and refreshed regularly.
Each entry includes all major data points such as URLs, book IDs, titles, authors, ratings, number of ratings, reviews, summaries, genres, publication dates, author details and prices.
For a complete list of data points, please refer to the full "Data… See the full description on the dataset page: https://huggingface.co/datasets/BrightData/Goodreads-Books.project-madurai-booksProject Madurai Books Text Dataset
This dataset card aims to convert the Tamil books available on the Project Madurai website to the HF dataset. It has been scrapped from Project Madurai Website.
Dataset Details
You can see a table above called "Meta Data", which is just an info table.
You can't able to preview the "Source Data" table, due to it being about 300MB.
[Don't open the Dataset in Excel It will lead to a crash of the OS instead open it using Python in pandas or… See the full description on the dataset page: https://huggingface.co/datasets/mastergokul/project-madurai-books.goodreads-books
Goodreads Books Dataset
Dataset Description
A comprehensive dataset of books scraped from Goodreads, including ratings, authors, titles, and various book characteristics.
This dataset contains 3045 books with 20 features each, scraped from Goodreads. It's perfect for:
📚 Book recommendation systems
📊 Literary data analysis
🤖 Machine learning projects
📈 Rating prediction models
🔍 Book discovery algorithms
Dataset Structure
Features… See the full description on the dataset page: https://huggingface.co/datasets/codealchemist01/goodreads-books.Shamela_Books_info
Shamela Books information
This dataset contains structured metadata for 8,492 books sourced from the Shamela Library, with enhancements for clarity, consistency, and usability. It is intended to support NLP, bibliographic research, and digital humanities efforts involving Arabic texts.For full books text dataset please check shamela_books_text
Dataset Features
The dataset includes the following cleaned and standardized features:
Unification of Author Names: Author… See the full description on the dataset page: https://huggingface.co/datasets/MoMonir/Shamela_Books_info.goodreads_booksGoodreads-Books
Dataset Card for "BrightData/Goodreads-Books"
Dataset Summary
Explore a collection of millions of books with the Goodreads dataset, comprising over 6.3M structured records and 14 data fields updated and refreshed regularly.
Each entry includes all major data points such as URLs, book IDs, titles, authors, ratings, number of ratings, reviews, summaries, genres, publication dates, author details and prices.
For a complete list of data points, please refer to the… See the full description on the dataset page: https://huggingface.co/datasets/Chima207/Goodreads-Books.booksum-short
booksum short
BookSum but all summaries with length greater than 512 long-t5 tokens are filtered out.
The columns chapter_length and summary_length in this dataset have been updated to reflect the total of Long-T5 tokens in the respective source text.
Token Length Distribution for inputs
goodreads-books
Goodreads Books Dataset
Dataset Description
A comprehensive dataset of books scraped from Goodreads, including ratings, authors, titles, and various book characteristics.
This dataset contains 3045 books with 20 features each, scraped from Goodreads. It's perfect for:
📚 Book recommendation systems
📊 Literary data analysis
🤖 Machine learning projects
📈 Rating prediction models
🔍 Book discovery algorithms
Dataset Structure
Features… See the full description on the dataset page: https://huggingface.co/datasets/bstarrs/goodreads-books.bookson_the_books_example
Dataset Card for Dataset Name
Dataset Summary
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
[More Information Needed]
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
[More Information Needed]
Data Splits
[More Information Needed]
Dataset Creation… See the full description on the dataset page: https://huggingface.co/datasets/davanstrien/on_the_books_example.booksbooksum-1024-output
booksum - 1024 tokens max output
goal: limit max output length explicitly to prevent partial summaries being generated.
notebook to create
info
on_the_books
Dataset Card for Dataset Name
Dataset Summary
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
[More Information Needed]
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
[More Information Needed]
Data Splits
[More Information Needed]
Dataset Creation… See the full description on the dataset page: https://huggingface.co/datasets/davanstrien/on_the_books.books_10kall-Bangladeshi-booksbooksmoviesmovies_based_on_books_filteredmerged_movies_books_cleanedmovies_based_on_books_with_budgetBooksLibrarybooks_ratingson-the-books-csv-demoamazon_books_doc_simmovies_not_based_on_books_filteredBooksDatasethf_booksbooks-to-scrape-page1
Books to Scrape – Page 1
Dataset Summary
Book records scraped from the first page of the Books to Scrape demo site.I created this dataset for a class assignment to practise web scraping, pandas,
and publishing a dataset to the Hugging Face Hub.
Data Collection
Source: https://books.toscrape.com/ (public test site for scraping practice)
Method: requests.get("https://books.toscrape.com/catalogue/page-1.html")
Parsed with BeautifulSoup, selecting each <article… See the full description on the dataset page: https://huggingface.co/datasets/TiaDay/books-to-scrape-page1.Books_enrichedGoodread_books_dataset