datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
goodreads-books
Goodreads Books Metadata
Dataset Description
Goodreads Books Metadata is a structured dataset of book records scraped directly from Goodreads, a social platform for book readers and recommendations.
The dataset is collected via an ongoing, resumable crawl and contains rich metadata per book: bibliographic information, crowd-sourced ratings, contributor (author/illustrator/editor/etc.) details enriched with author-level popularity stats, genre tags, series… See the full description on the dataset page: https://huggingface.co/datasets/pfaha/goodreads-books.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.goodreadsgoodreadsDataset Card for "goodreads"
Must-read books summary
Features:
Book - Name of the book. Soemtimes this includes the details of the Series it belongs to inside a parenthesis. This information can be further extracted to analyse only series.
Author - Name of the book's Author
Description - The book's description as mentioned on Goodreads
Genres - Multiple Genres as classified on Goodreads. Could be useful for Multi-label classification or Content based recommendation and Clustering.
Average… See the full description on the dataset page: https://huggingface.co/datasets/Eitanli/goodreads.goodreads-book-descriptions
Goodreads Book Descriptions
A dataset of English book titles and descriptions from Goodreads.
The original dataset has 2.3 million books total with many more fields.
There may exist a small number of non-English books in this dataset.
Citations
Mengting Wan, Julian McAuley, "Item Recommendation on Monotonic Behavior Chains", in RecSys'18.
Mengting Wan, Rishabh Misra, Ndapa Nakashole, Julian McAuley, "Fine-Grained Spoiler Detection from Large-Scale Review Corpora", in… See the full description on the dataset page: https://huggingface.co/datasets/booksouls/goodreads-book-descriptions.goodreads-docgoodreads-reviews
Goodreads Reviews (deduplicated)
~15,739,967 book reviews scraped from Goodreads, deduplicated.
Columns
Column
Type
Description
user_id
string
Anonymised user hash
book_id
string
Goodreads book ID
review_id
string
Unique review ID
rating
int8
1–5 star rating (0 = no rating)
review_text
string
Full review text
date_added
string
Date added to shelf
date_updated
string
Date last updated
read_at
string
Date finished reading
started_at
string
Date… See the full description on the dataset page: https://huggingface.co/datasets/vngclinh/goodreads-reviews.goodreads_100k
Goodreads 100k
Clone of Manav Dhamani's goodreads-books-100k dataset from Kaggle.
goodreadsGoodreads_Books_DetailThis dataset imclude all important detail about books like Title,Auther,Rating , Genres,Release_data, review, no. of votes,
that help to analyze about book catagory , this dataset help to build the book recomender system model,sentiment analysis
on book review system and many more
book-reviews-from-amazon-and-goodreads
Dataset Details
Dataset Description
Curated by: Lkkash
Language(s) (NLP): English
License: Apache license 2.0
Dataset Sources [optional]
Repository: https://huggingface.co/datasets/Lkkash/book-reviews-from-amazon-and-goodreads
Uses
Can be used to fine-tune text classification models directly from this dataset.
This dataset is used to train this model :- https://huggingface.co/Lkkash/distilbert-book-reviews
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/Lkkash/book-reviews-from-amazon-and-goodreads.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.goodreads-bookgenres
Dataset Card for "goodreads-bookgenres"
multiclass multilabel is the most fun :)
structure
>>> dataset
DatasetDict({
train: Dataset({
features: ['Book', 'Description', 'Genres'],
num_rows: 7914
})
validation: Dataset({
features: ['Book', 'Description', 'Genres'],
num_rows: 989
})
test: Dataset({
features: ['Book', 'Description', 'Genres'],
num_rows: 990
})
})
the Genres column is multilabel and… See the full description on the dataset page: https://huggingface.co/datasets/pszemraj/goodreads-bookgenres.goodreads_booksgoodreads_test
Dataset Card for "goodreads_test"
More Information needed
goodreads_train
Dataset Card for "goodreads_train"
More Information needed
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… See the full description on the dataset page: https://huggingface.co/datasets/Chima207/Goodreads-Books.goodreads-ratingGoodreadsgoodreads-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.goodreadsgood-reads-datagoodreads-llama-7b-negated-agoodreads_annotationGoodreads_Books_DetailThis dataset imclude all important detail about books like Title,Auther,Rating , Genres,Release_data, review, no. of votes,
that help to analyze about book catagory , this dataset help to build the book recomender system model,sentiment analysis
on book review system and many more
goodreads-llama-7b-negatedgoodreadsA quick usage example of goodreads dataset.
install datasets library
%pip install datasets
import load_dataset
from datasets import load_dataset
Reading the Dataset
ds = load_dataset("recmeapp/goodreads", "main_data")
Reading the App MetaData
app_metadata = load_dataset("recmeapp/goodreads", "app_meta")
How many dialogs are there in different splits?
train_data = ds['train']
valid_data = ds['val']
test_data = ds['test']
print(f'There are… See the full description on the dataset page: https://huggingface.co/datasets/recmeapp/goodreads.goodreads-llama-7b-agoodreads-quotesgoodreadsavae