Datasets:
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---
dataset_info:
features:
- name: url
dtype: string
- name: ai_description
dtype: string
- name: palettes
struct:
- name: '1'
dtype:
array2_d:
shape:
- 1
- 3
dtype: uint8
- name: '2'
dtype:
array2_d:
shape:
- 2
- 3
dtype: uint8
- name: '3'
dtype:
array2_d:
shape:
- 3
- 3
dtype: uint8
- name: '4'
dtype:
array2_d:
shape:
- 4
- 3
dtype: uint8
- name: '5'
dtype:
array2_d:
shape:
- 5
- 3
dtype: uint8
- name: '6'
dtype:
array2_d:
shape:
- 6
- 3
dtype: uint8
- name: '7'
dtype:
array2_d:
shape:
- 7
- 3
dtype: uint8
- name: '8'
dtype:
array2_d:
shape:
- 8
- 3
dtype: uint8
splits:
- name: train
num_bytes: 28536733
num_examples: 24998
download_size: 4159745
dataset_size: 28536733
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: other
license_name: unsplash-commercial
license_link: https://github.com/unsplash/datasets/blob/master/DOCS.md
task_categories:
- text-to-image
- image-to-text
language:
- en
tags:
- unsplash
- v1.2.1
pretty_name: Unsplash Lite w/ Palettes
size_categories:
- 10K<n<100K
source_datasets:
- 1aurent/unsplash-lite
---
# The Unsplash Lite Dataset (v1.2.1) with color palettes
The Lite dataset contains all of the same fields as the Full dataset, but is limited to ~25,000 photos.
It can be used for both commercial and non-commercial usage, provided you abide by [the terms](https://github.com/unsplash/datasets/blob/master/TERMS.md).
The Unsplash Dataset is made available for research purposes.
[It cannot be used to redistribute the images contained within](https://github.com/unsplash/datasets/blob/master/TERMS.md).
To use the Unsplash library in a product, see [the Unsplash API](https://unsplash.com/developers).
This subset of the dataset contains only urls to the images, their descriptions generated from an AI service, and 8 palettes (generated using [okolors](https://github.com/Ivordir/Okolors)).
To download the images from the urls, you may do something like this:
```python
from datasets import load_dataset, DownloadManager, Image
ds = load_dataset("1aurent/unsplash-lite-palette")
def download_image(url: str | list[str]) -> str | list[str]:
dl_manager = DownloadManager()
filename = dl_manager.download(url)
return {"image": filename}
ds = ds.map(
function=download_image,
input_columns=["url"],
batched=True,
num_proc=6,
)
ds = ds.cast_column(
column="image",
feature=Image(),
)
```
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