|
--- |
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dataset_info: |
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features: |
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- name: image |
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dtype: image |
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- name: objectID |
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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 |
|
- name: artistPrefix |
|
dtype: float64 |
|
- name: artistDisplayName |
|
dtype: string |
|
- name: artistDisplayBio |
|
dtype: string |
|
- name: artistSuffix |
|
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 |
|
--- |
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# Dataset Card for Brewster Carriages |
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<!-- Provide a quick summary of the dataset. --> |
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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. |
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## Dataset Description |
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- **Curated by:** [Jonathan Dinu](https://jonathandinu.com) |
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- **License:** Dataset [CC0](https://creativecommons.org/public-domain/cc0/) licensed, source images are in the Public Domain. |
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## Dataset Sources |
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<!-- Provide the basic links for the dataset. --> |
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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: |
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1. Filtered to make sure the source images are all in the public domain. |
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2. Manually filtered to remove images of low quality. |
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3. Center cropped and resized to 1024x1024. |
