Update README.md

README.md

@@ -13,11 +13,11 @@ tags:
 - openlibrary
 - ocr
 - open culture
-pretty_name: Internet Archive Public Domain Books (English)
+pretty_name: US Public Domain Books (English)
 ---
-# Internet Archive Public Domain Books (English)
+# US Public Domain Books (English)
 
-This dataset contains more than 650,000 English public domain books (~ 61 billion words) 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).
+This dataset contains more than 650,000 English books (~ 61 billion words) which are presumed to be the public domain in the US and 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).
 
 ## Dataset summary
 
@@ -60,4 +60,4 @@ The OCR for the books was produced by the IA. You can learn more about the detai
 | 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` |
 
 ## Copyright & License
-The full texts of the works included in this dataset are presumed to be in the public domain and free of known copyrights in the United States by the institutions who have contributed them to the collections of the Internet Archive. It is the responsibility of the dataset user to comply with the copyright laws in their respective jurisdiction. The dataset itself, excluding the full texts, is licensed under the [CC0 license](https://creativecommons.org/public-domain/cc0/).
+The full texts of the works included in this dataset are presumed to be in the public domain and free of known copyrights in the United States by the institutions who have contributed them to the collections of the Internet Archive. It is the responsibility of the dataset user to comply with the copyright laws in their respective jurisdiction. The dataset itself, excluding the full texts, is licensed under the [CC0 license](https://creativecommons.org/public-domain/cc0/).