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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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---
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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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language:
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- en
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---
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# Dataset Card for "BrightData/Wikipedia-Articles"
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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/1FAIpQLScbpGZ4qYipuVRplYrBO13gNJStuiA3dz2vEt9XzZ14pgUdZA/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.
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Continuously updated and verified for accuracy, this dataset provides invaluable insights for researchers, analysts and book enthusiasts alike.
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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 article | Url |
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| title | Title of the article | Text |
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| table_of_contents | Table of Contents in the article | Array |
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| raw_text | Raw article text | Text |
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| cataloged_text | Cataloged text of the article by titles | Array |
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| *> title* | Title of a cataloged section | Text |
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| *> sub_title* | Subtitle within a cataloged section | Text |
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| *> text* | Text content within a cataloged section | Text |
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| *> links_in_text* | Links within the text content | Array |
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| *>> link_name* | Name or description of the link | Text |
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| *>> url* | URL of the link | Url |
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| images | Links to the URLs of images in the article | Array |
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| *> image_text* | Text description under an image | Text |
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| *> image_url* | URL of the image | Url |
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| see_also | Other recommended articles | Array |
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| *> title* | Recommended article title | Text |
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| *> url* | URL of the recommended article | Url |
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| references | References in the article | Array |
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| *> reference* | Reference in the article | Text |
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| *>> urls* | URLs referenced within the article | Array |
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| *>>> url_text* | Text description of the referenced URL | Text |
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| *>>> url* | URL of the referenced article or source | Url |
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| external_links | External links referenced in the article | Array |
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| *> external_links_name* | Name or description of the external link | Text |
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| *> link* | External link URL | Text |
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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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```
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