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--- |
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license: other |
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license_name: bright-data-master-service-agreement |
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license_link: https://brightdata.com/license |
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task_categories: |
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- text-classification |
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- summarization |
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- text-generation |
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- text2text-generation |
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language: |
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- en |
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tags: |
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- books |
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- literature |
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- reading |
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- reviews |
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- authors |
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- ratings |
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- genre analysis |
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- book summaries |
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- AI |
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- NLP |
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- Natural Language Processing |
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- Machine Learning |
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- ML |
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- entertainment |
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- Goodreads |
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- book reviews |
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- LLM |
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size_categories: |
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- 1M<n<10M |
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--- |
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# Dataset Card for "BrightData/Goodreads-Books" |
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If you are using this dataset, we would love your feedback: [Link to form](https://docs.google.com/forms/d/e/1FAIpQLSdhxzlCEA8SGjjWZp-U6539oYmzdxlQ_Qb0pTPV6PqvmyrygA/viewform?usp=sf_link). |
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## Dataset Summary |
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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. |
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Each entry includes all major data points such as including URLs, book IDs, titles, authors, ratings, number of ratings, reviews, summaries, genres, publication dates, author details and prices. |
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For a complete list of data points, please refer to the full "Data Dictionary" provided below. |
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To explore additional free and premium datasets, visit our website [brightdata.com](https://www.brightdata.com). |
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## Data Dictionary |
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| Column name | Description | Data type | |
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|---------------------|---------------------------------|-----------| |
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| url | URL of the book | Text | |
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| id | Book id on the website | Text | |
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| name | Name of the book | Text | |
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| author | Book author | Array | |
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| star_rating | Star rating of the book 1-5 | Number | |
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| num_ratings | Number of people who left a rating | Number | |
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| num_reviews | Number of reviews on the book | Text | |
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| summary | Book summary | Text | |
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| genres | Book genre | Array | |
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| first_published | First published date | Text | |
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| about_author | About the author | Object | |
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| *> name* | Author name | Text | |
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| *> num_books* | Number of books by the author | Number | |
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| *> num_followers* | About the author | Text | |
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| community_reviews | Community reviews breakdown | Object | |
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| *> 5_stars* | 5 stars | Object | |
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| *>> reviews_num* | Number of reviews | Number | |
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| *>> reviews_percentage* | Percentage of reviews | Number | |
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| *> 4_stars* | 4 stars | Object | |
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| *>> reviews_num* | Number of reviews | Number | |
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| *>> reviews_percentage* | Percentage of reviews | Number | |
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| *> 3_stars* | 3 stars | Object | |
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| *>> reviews_num* | Number of reviews | Number | |
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| *>> reviews_percentage* | Percentage of reviews | Number | |
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| *> 2_stars* | 2 stars | Object | |
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| *>> reviews_num* | Number of reviews | Number | |
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| *>> reviews_percentage* | Percentage of reviews | Number | |
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| *> 1_stars* | 1 stars | Object | |
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| *>> reviews_num* | Number of reviews | Number | |
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| *>> reviews_percentage* | Percentage of reviews | Number | |
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| kindle_price | The price of the book on kindle | Price | |
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## Dataset Creation |
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### Data Collection and Processing |
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The data collection process involved extracting information directly from Goodreads, ensuring comprehensive coverage of the required attributes. Once collected, the data underwent several stages of processing: |
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- **Parsing**: Extracted raw data was parsed to convert it into a structured format. |
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- **Cleaning**: The cleaning process involved removing any irrelevant or erroneous entries to enhance data quality. |
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### Validation: |
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To ensure data integrity, a validation process was implemented. Each entry is checked across various attributes, including: |
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- **Uniqueness**: Each record was checked to ensure it was unique, eliminating any duplicates. |
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- **Completeness**: The dataset was examined to confirm that all necessary fields were populated or filled, with missing data addressed appropriately. |
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- **Consistency**: Cross-validation checks were conducted to ensure consistency across various attributes, including comparison with historical records. |
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- **Data Types Verification**: Ensured that all data types were correctly assigned and consistent with expected formats. |
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- **Fill Rates and Duplicate Checks**: Conducted comprehensive checks to verify fill rates, ensuring no significant gaps in data, and rigorously screened for duplicates. |
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This ensures that the dataset meets the high standards of quality necessary for analysis, research and modeling. |
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## Example JSON |
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<div style="max-height: 300px; overflow-y: auto; border: 1px solid #ccc; padding: 10px;"> |
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```json |
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[ |
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{ |
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"timestamp": "2024-05-09", |
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"url": "https://www.imdb.com/title/tt1533087/", |
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"title": "Soda Springs", |
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"popularity": null, |
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"genres": [ |
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"Drama" |
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} |
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] |
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``` |
