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@@ -24,9 +24,9 @@ This dataset contains more than 650,000 English books (~ 61 billion words) presu
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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 distinguished 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 restrict the dataset as much as possible to books.
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  ## Curation method
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  In order to reliably find public domain books among the IA collections, the dataset was curated by combining three approaches:
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- 1. Manually identifying IA collections which expliclity state that they exclusively contain public domain materials, e.g. the [Cornell University Library collection](https://archive.org/details/cornell/about?tab=about) 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 items with the status `NOT_IN_COPYRIGHT` across all IA collections using the [IA Search API](https://archive.org/help/aboutsearch.htm).
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  3. Restricting all IA searches with the query parameter `openlibrary_edition:*` to ensure that all returned items posses an OpenLibrary record, i.e. to ensure that they are books and not some other form of text.
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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 distinguished 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 restrict the dataset as much as possible to books.
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  ## Curation method
 
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  In order to reliably find public domain books among the IA collections, the dataset was curated by combining three approaches:
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+ 1. Manually identifying IA collections which expliclity state that they exclusively contain public domain materials, e.g. the [Cornell University Library collection](https://archive.org/details/cornell/about?tab=about) or the [LoC Selected Digitized Books collection](https://www.loc.gov/collections/selected-digitized-books/about-this-collection/rights-and-access/) 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 items with the status `NOT_IN_COPYRIGHT` across all IA collections using the [IA Search API](https://archive.org/help/aboutsearch.htm).
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  3. Restricting all IA searches with the query parameter `openlibrary_edition:*` to ensure that all returned items posses an OpenLibrary record, i.e. to ensure that they are books and not some other form of text.
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