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@@ -14,21 +14,23 @@ pretty_name: Open Library Public Domain Books (English)
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  # Open Library Public Domain Books (English)
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- This dataset contains more than 650,000 public domain books in English digitized and catalogued by the [Internet Archive](https://archive.org/details/books) as part of the [Open Library](https://openlibrary.org/) project. The dataset was compiled by [Sebastian Majstorovic](https://www.storytracer.org).
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  ## Dataset summary
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- The dataset contains 653,983 OCR texts (~ 200 million pages) from various collections of the Internet Archive (IA). Texts stored in the Internet Archive that are considered to be books have an associated record in the Open Library (OL) catalogue. Only texts with an OL record have been included in this dataset.
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  In order to find public domain books, the dataset was curated using two approaches:
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- 1. Identify and download IA collections that exclusively contain public domain materials, e.g. the [Cornell University Library](https://archive.org/details/cornell/about?tab=about) collection.
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- 2. Use the [possible-copyright-status](https://archive.org/developers/metadata-schema/index.html#possible-copyright-status) query parameter to search for the status `NOT_IN_COPYRIGHT` across all IA collections using the IA [Search API](https://archive.org/help/aboutsearch.htm).
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- The size of the full uncompressed dataset is ~400GB and compressed as Parquet files ~220GB. Each Parquet file contains a maximum of 2000 books.
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  ## Metadata
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- The book texts are accompanied by basic metadata fields such as title, author and publication year (see [Data Fields](#data-fields) below), as well as IA and OL identifiers. The metadata can be expanded to include more information about e.g. subjects, authors or the files, by using the [OL Books API](https://openlibrary.org/dev/docs/api/books) or [OL Bulk Data Dumps](https://openlibrary.org/developers/dumps) and the [IA Metadata API](https://archive.org/developers/md-read.html).
 
 
 
 
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  ## Data fields
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@@ -39,10 +41,9 @@ The book texts are accompanied by basic metadata fields such as title, author an
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  | author | string | IA metadata field [creator](https://archive.org/developers/metadata-schema/index.html#creator) (multiple values concatenated by semicolon) |
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  | year | int | IA metadata field [year](https://archive.org/developers/metadata-schema/index.html#year) |
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  | page_count | int | IA metadata field [imagecount](https://archive.org/developers/metadata-schema/index.html#imagecount) |
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- | openlibrary_edition | string | IA metadata field [openlibrary_edition](https://archive.org/developers/metadata-schema/index.html#openlibrary-edition) |
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- | openlibrary_work | string | IA metadata field [openlibrary_work](https://archive.org/developers/metadata-schema/index.html#openlibrary-work) |
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- | full_text | string | Content of the IA [plain text OCR derivate file](https://archive.org/developers/ocr.html?highlight=djvu%20txt#additional-generated-content) ending in `_djvu.txt` |
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  ## License
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  ---
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  # Open Library Public Domain Books (English)
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+ This dataset contains more than 650,000 public domain books which were digitised by the [Internet Archive](https://archive.org/details/books) and catalogued as part of the [Open Library](https://openlibrary.org/) project. The dataset was compiled by [Sebastian Majstorovic](https://www.storytracer.org).
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  ## Dataset summary
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+ The dataset contains 653,983 OCR texts (~ 200 million pages) from various collections of the Internet Archive (IA). Books in the IA can be filtered out from other types of documents by checking whether an IA item is linked to an Open Library (OL) record. Only texts with an OL record have been included in this dataset in order to narrow the dataset as much as possible to books.
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  In order to find public domain books, the dataset was curated using two approaches:
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+ 1. Identifying IA collections that exclusively contain public domain materials, e.g. the [Cornell University Library](https://archive.org/details/cornell/about?tab=about) collection and downloading them in bulk.
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+ 2. Using the [possible-copyright-status](https://archive.org/developers/metadata-schema/index.html#possible-copyright-status) query parameter to search for the status `NOT_IN_COPYRIGHT` across all IA collections using the [IA Search API](https://archive.org/help/aboutsearch.htm).
 
 
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  ## Metadata
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+ The book texts are accompanied by basic metadata fields such as title, author and publication year (see [Data Fields](#data-fields) below), as well as IA and OL identifiers. The metadata can be expanded to be enriched with more information about subjects, authors, file details etc. by using the [OL API](https://openlibrary.org/developers/api), [OL Data Dumps](https://openlibrary.org/developers/dumps) and the [IA Metadata API](https://archive.org/developers/md-read.html).
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+ ## Size
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+ The size of the full uncompressed dataset is ~400GB and compressed as Parquet files ~220GB. Each Parquet file contains a maximum of 2000 books.
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  ## Data fields
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  | author | string | IA metadata field [creator](https://archive.org/developers/metadata-schema/index.html#creator) (multiple values concatenated by semicolon) |
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  | year | int | IA metadata field [year](https://archive.org/developers/metadata-schema/index.html#year) |
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  | page_count | int | IA metadata field [imagecount](https://archive.org/developers/metadata-schema/index.html#imagecount) |
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+ | openlibrary_edition | string | OL [edition](https://openlibrary.org/dev/docs/api/books#:~:text=Learnings%20about%20Works%20v%20Editions), referenced from IA metadata field [openlibrary_edition](https://archive.org/developers/metadata-schema/index.html#openlibrary-edition) |
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+ | openlibrary_work | string | OL [work](https://openlibrary.org/dev/docs/api/books#:~:text=Learnings%20about%20Works%20v%20Editions), referenced from IA metadata field [openlibrary_work](https://archive.org/developers/metadata-schema/index.html#openlibrary-work) |
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+ | full_text | string | Content of the IA item's [plain text OCR file](https://archive.org/developers/ocr.html?highlight=djvu%20txt#additional-generated-content) ending in `_djvu.txt` |
 
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  ## License
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