Update README.md

README.md

@@ -125,4 +125,26 @@ task_categories:
 - unconditional-image-generation
 size_categories:
 - n<1K
----
+---
+# Dataset Card for Dataset Name
+
+<!-- Provide a quick summary of the dataset. -->
+
+A permissively licensed dataset of original [Brewster & Co.](https://en.wikipedia.org/wiki/Brewster_%26_Co.) carriage illustrations (and associated metadata) in the public domain. While this dataset could be used for a variety of tasks and purposes, it was originally collated by [Jonathan Dinu](https://jonathandinu.com) to train an unconditional image generation model.
+
+## Dataset Details
+
+### Dataset Description
+
+- **Curated by:** [Jonathan Dinu](https://jonathandinu.com)
+- **License:** Dataset [CC0](https://creativecommons.org/public-domain/cc0/) licensed, Source images are in the Public Domain.
+
+### Dataset Sources [optional]
+
+<!-- Provide the basic links for the dataset. -->
+
+Dataset is sourced from The Metropolitan Museum of Art [open access archives](https://www.metmuseum.org/about-the-met/policies-and-documents/open-access) using a query for ["brewster+co"](https://collectionapi.metmuseum.org/public/collection/v1/search?q=brewster+co). Results are then:
+
+1. Filtered to make sure the source images are all in the public domain.
+2. Manually filtered to remove images of low quality.
+3. Center cropped and resized to 1024x1024.