Datasets:
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README.md
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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
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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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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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## 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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| Field | Data Type | Description |
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| --- | --- | --- |
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| ocaid | string | IA [item identifier](https://archive.org/developers/metadata-schema/index.html#identifier), included in the [IA item URL](https://archive.org/developers/items.html#archival-urls) |
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| title | string | IA metadata field [title](https://archive.org/developers/metadata-schema/index.html#title) |
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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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The full texts works included in this dataset are presumed to be in the public domain by the institutions who have contributed them to the collections of the Internet Archive. The dataset itself is licensed under the [CC0 license](https://creativecommons.org/public-domain/cc0/).
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