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Brett Renfer commited on
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2 Parent(s): 37f35db edef993

Merge branch 'main' of https://huggingface.co/datasets/metmuseum/openaccess into main

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  1. README.md +2 -2
README.md CHANGED
@@ -142,7 +142,7 @@ The [Metropolitan Museum of Art](http://www.metmuseum.org) presents over 5,000 y
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  Since it was founded in 1870, The Met has always aspired to be more than a treasury of rare and beautiful objects. Every day, art comes alive in the Museum's galleries and through its exhibitions and events, revealing both new ideas and unexpected connections across time and across cultures.
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- The Metropolitan Museum of Art provides select datasets of information on more than 470,000 artworks in its Collection for unrestricted commercial and noncommercial use. To the extent possible under law, The Metropolitan Museum of Art has waived all copyright and related or neighboring rights to this dataset using [Creative Commons Zero](https://creativecommons.org/publicdomain/zero/1.0/). This work is published from: The United States Of America. You can also find the text of the CC Zero deed in the file [LICENSE](https://github.com/metmuseum/openaccess/blob/master/LICENSE) in this repository. These select datasets are now available for use in any media without permission or fee; they also include identifying data for artworks under copyright. The datasets support the search, use, and interaction with the Museum's collection.
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  ## Documentation in progress
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  This data is provided “as is” and you use this data at your own risk. The Metropolitan Museum of Art makes no representations or warranties of any kind. Documentation of the Museum’s collection is an ongoing process and parts of the datasets are incomplete.
@@ -171,7 +171,7 @@ For more details on how to use images of artworks in The Metropolitan Museum of
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  * We include all data, including rows that do *not* have images
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  * You can filter by "Is Public Domain=True" or is "url" blank
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  * These images are the ```primaryImageSmall``` field via our API, i.e., they are not full-res, and have some compression
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- * See below and our [Collction API](https://metmuseum.github.io/) if you would like to recreate the data and include larger images (```primaryImage```) or additional views (```additionalImages```)
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  * This would require edits to ```add_images.py```
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  ## Updating or recreating the CSV + images
 
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  Since it was founded in 1870, The Met has always aspired to be more than a treasury of rare and beautiful objects. Every day, art comes alive in the Museum's galleries and through its exhibitions and events, revealing both new ideas and unexpected connections across time and across cultures.
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+ The Metropolitan Museum of Art provides select datasets of information on more than 470,000 artworks in its Collection for unrestricted commercial and noncommercial use. To the extent possible under law, The Metropolitan Museum of Art has waived all rights to the work worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law, using [Creative Commons Zero](https://creativecommons.org/publicdomain/zero/1.0/). This work is published from: The United States Of America. You can also find the text of the CC Zero deed in the file [LICENSE](https://huggingface.co/datasets/metmuseum/openaccess/blob/main/LICENSE.txt) in this repository. These select datasets are now available for use in any media without permission or fee; they also include identifying data for artworks under copyright. The datasets support the search, use, and interaction with the Museum's collection.
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  ## Documentation in progress
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  This data is provided “as is” and you use this data at your own risk. The Metropolitan Museum of Art makes no representations or warranties of any kind. Documentation of the Museum’s collection is an ongoing process and parts of the datasets are incomplete.
 
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  * We include all data, including rows that do *not* have images
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  * You can filter by "Is Public Domain=True" or is "url" blank
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  * These images are the ```primaryImageSmall``` field via our API, i.e., they are not full-res, and have some compression
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+ * See below and our [Collection API](https://metmuseum.github.io/) if you would like to recreate the data and include larger images (```primaryImage```) or additional views (```additionalImages```)
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  * This would require edits to ```add_images.py```
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  ## Updating or recreating the CSV + images