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README.md

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+---
+license: cc0-1.0
+task_categories:
+- text-classification
+- text-generation
+language:
+- en
+tags:
+- books
+- goodreads
+- web-scraping
+- recommendation-systems
+- literature
+size_categories:
+- 1K<n<10K
+---
+
+# 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
+
+| Column | Type | Description |
+|--------|------|-------------|
+| rank | int64 | Book rank |
+| percentile_rank | float64 | Book percentile rank |
+| book_id | int64 | Book book id |
+| title | object | Book title |
+| author | object | Book author |
+| rating | float64 | Book rating |
+| rating_category | object | Book rating category |
+| rating_tier | object | Book rating tier |
+| is_high_rated | bool | Book is high rated |
+| title_length | int64 | Book title length |
+| title_complexity | object | Book title complexity |
+| word_count | int64 | Book word count |
+| author_count | int64 | Book author count |
+| author_name_length | int64 | Book author name length |
+| has_series_info | bool | Book has series info |
+| series_number | float64 | Book series number |
+| title_type | object | Book title type |
+| has_subtitle | bool | Book has subtitle |
+| has_middle_name | bool | Book has middle name |
+| estimated_popularity | object | Book estimated popularity |
+
+
+### Statistics
+
+- **Total Records**: 3,045
+- **File Size**: 0.43 MB
+- **Data Quality**: 97.0% complete
+- **Average Rating**: 4.06
+- **Rating Range**: 0.00 - 4.93
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+# Load the dataset
+dataset = load_dataset("codealchemist01/goodreads-books")
+
+# Access the data
+df = dataset['train'].to_pandas()
+print(df.head())
+```
+
+## Data Collection
+
+The data was collected through web scraping of Goodreads.com using ethical scraping practices:
+- Respectful rate limiting
+- Robots.txt compliance
+- No personal user data collected
+
+## Citation
+
+If you use this dataset in your research, please cite:
+
+```
+@dataset{goodreads_books_2025,
+  title={Goodreads Books Dataset},
+  author={Kutay Ahin},
+  year={2025},
+  url={https://huggingface.co/datasets/codealchemist01/goodreads-books}
+}
+```
+
+## License
+
+This dataset is released under the CC0 1.0 Universal License.