---
dataset_info:
  features:
  - name: url
    dtype: string
  - name: description
    dtype: string
  - name: author
    dtype: string
  - name: license
    dtype: string
  - name: license_wiki
    dtype: string
  - name: date
    dtype: string
  - name: credit
    dtype: string
  - name: category_list
    dtype: string
  splits:
  - name: public_domain
    num_bytes: 16489056402
    num_examples: 16784036
  - name: cc_by
    num_bytes: 2946861390
    num_examples: 3393286
  - name: cc_by_sa
    num_bytes: 9703042550
    num_examples: 14194386
  download_size: 5474203603
  dataset_size: 29138960342
configs:
- config_name: default
  data_files:
  - split: public_domain
    path: data/public_domain-*
  - split: cc_by
    path: data/cc_by-*
  - split: cc_by_sa
    path: data/cc_by_sa-*
---


# CapyWiki-34M 

CapyWiki is a collection of openly licensed and public domain image datasets from Wikimedia. Raw means unfiltered: no aesthetic or filtering, so many book scans and other images are in place.

CapyWiki contains 3 splits: 

- `public_domain` split: **16.5M links** to Wikimedia images that were categorized with license info of `Public Domain`, `cc0` or equivalent. There are no restrictions on how this images can be used from a copyright standpoint.
- `cc_by` split: **3.4M links** to Wikimedia images that have a commercial usage permissive [cc-by](https://creativecommons.org/licenses/by/4.0/) or equivalent license. 
- `cc_by_sa` split: **14.2M links** to Wikimedia images that have a commercial usage permissive [cc-by-sa](https://creativecommons.org/licenses/by-sa/4.0/) or equivalent license. 

The dataset should contain photos, illustrations, scans, maps and any other media categories in an image format that Wikimedia hosts.

## Loading the dataset for downstream use-cases 
The dataset splis are in a `*.parquet` format and can be read/processed by any tool or library that can read `*.parquet` files. 

If you wish to use the Hugging Face Datasets library you can load the dataset as: 

```py
from datasets import load_dataset
#Load the public_domain split
dataset = load_dataset("opencapybara/CapyWiki-34M", split="public_domain")

#Now the dataset can be used for any downstream cases e.g.:
# first_500_urls = dataset[:500]['url']
```

You can use the [img2dataset](https://github.com/rom1504/img2dataset) to download the images from this dataset.

## What's the intended use of CapyWiki

Using CapyWiki to train and evaluate neural networks is possible but not exclusive. 

The `public domain` image split can be used without freely, openly and without any restrictions from a copyright standpoint, while the `cc-by` and `cc-by-sa` have the provisions indicated on each license.

The information contained on this Model Card is not legal advice and we recommend you conducting your own independent analysis of the content and its copyright status. 

## Data format dictionary
The dataset contains:
- `url` for the image URL
- `description` as the original image description (may include original wikimedia HTML tags)
- `author` as an HTML link tag for whoever is indicated as an author in wikimedia
- `license` spelled out license name text
- `license_wiki` shortened license nickname
- `date` artefact date
- `credit` credit

## Help needed
This is a raw dataset. Tasks such as: captioning, content classification (photos, illustrations, etc.), aesthetic classifications, meta-data inclusion (width, height) or the images are open and community contributions for those are more than welcome.