7K Books with Metadata

This dataset includes more than 6,500 books with their metadata (title, author, description, ISBN, etc.), obtained via the Google Books API from Goodreads data. It is ideal for training a recommendation engine, clustering or applying NLP techniques (literary text analysis, genre classification, etc.).

Download dataset

Size

6542 lines in CSV format, containing titles, authors, authors, descriptions, ISBNs, language, categories

Licence

CC0: Public Domain

Description

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The dataset 7K Books with Metadata was built using the Google Books API and Goodreads. It contains over 6,500 books, each with a complete sheet: title, author (s), description, ISBN, language, categories, and other useful attributes. It is particularly suitable for work in automatic language processing (NLP) and in data science applied to literature or publishing.

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What is this dataset for?

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Create a book recommendation engine (content-based filtering)
Analyze literary trends by categories or descriptions
Experimenting with NLP: automatic summary, gender classification, semantic clustering

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Can it be enriched or improved?

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Yes. It is possible to complete the metadata with other sources (Amazon, OpenLibrary), to extract keywords from the summaries, or to filter by language to refine the NLP models. The author himself plans to expand the dataset with future larger API requests.

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🔎 In summary

Criterion	Evaluation
🧩 Ease of use	⭐⭐⭐⭐⭐ (Ready-to-use CSV format)
🧼 Need for cleaning	⭐⭐⭐⭐☆ (Low: may contain a few null values or duplicates)
🏷️ Annotation richness	⭐⭐⭐⭐⭐ (High: multiple structured and textual fields — descriptions, categories, etc.)
📜 Commercial license	✅ Yes (CC0)
👨‍💻 Beginner friendly	📚 Great dataset to start with recommendation or NLP tasks
🔁 Fine-tuning ready	🔥 Good support for fine-tuning (useful for recommendation or NLP tasks thanks to textual fields)
🌍 Cultural diversity	🌍 Moderate: mainly in English but some descriptions specify a language