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---
dataset_info:
features:
- name: image
dtype: image
- name: objectID
dtype: int64
- name: isHighlight
dtype: bool
- name: accessionNumber
dtype: string
- name: accessionYear
dtype: int64
- name: isPublicDomain
dtype: bool
- name: primaryImage
dtype: string
- name: primaryImageSmall
dtype: string
- name: department
dtype: string
- name: objectName
dtype: string
- name: title
dtype: string
- name: culture
dtype: float64
- name: period
dtype: float64
- name: dynasty
dtype: float64
- name: reign
dtype: float64
- name: portfolio
dtype: float64
- name: artistRole
dtype: string
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dtype: float64
- name: artistDisplayName
dtype: string
- name: artistDisplayBio
dtype: string
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dtype: float64
- name: artistAlphaSort
dtype: string
- name: artistNationality
dtype: string
- name: artistBeginDate
dtype: float64
- name: artistEndDate
dtype: float64
- name: artistGender
dtype: float64
- name: artistWikidata_URL
dtype: string
- name: artistULAN_URL
dtype: string
- name: objectDate
dtype: string
- name: objectBeginDate
dtype: int64
- name: objectEndDate
dtype: int64
- name: medium
dtype: string
- name: dimensions
dtype: string
- name: creditLine
dtype: string
- name: geographyType
dtype: float64
- name: city
dtype: float64
- name: state
dtype: float64
- name: county
dtype: float64
- name: country
dtype: float64
- name: region
dtype: float64
- name: subregion
dtype: float64
- name: locale
dtype: float64
- name: locus
dtype: float64
- name: excavation
dtype: float64
- name: river
dtype: float64
- name: classification
dtype: string
- name: rightsAndReproduction
dtype: float64
- name: linkResource
dtype: float64
- name: metadataDate
dtype: string
- name: repository
dtype: string
- name: objectURL
dtype: string
- name: objectWikidata_URL
dtype: float64
- name: isTimelineWork
dtype: bool
- name: GalleryNumber
dtype: float64
splits:
- name: train
num_bytes: 74129545
num_examples: 942
download_size: 73571351
dataset_size: 74129545
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: cc0-1.0
task_categories:
- unconditional-image-generation
size_categories:
- n<1K
---
# Dataset Card for Brewster Carriages
<!-- 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 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
<!-- 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. |