README.md

---
license: cc-by-nc-4.0
dataset_info:
  features:
    - name: jpg
      dtype: image
    - name: blip2_caption
      dtype: string
    - name: caption
      dtype: string
    - name: licensename
      dtype: string
    - name: licenseurl
      dtype: string
    - name: width
      dtype: int32
    - name: height
      dtype: int32
    - name: original_width
      dtype: int32
    - name: original_height
      dtype: int32
    - name: photoid
      dtype: int64
    - name: uid
      dtype: string
    - name: unickname
      dtype: string
    - name: datetaken
      dtype: timestamp[us]
    - name: dateuploaded
      dtype: int64
    - name: capturedevice
      dtype: string
    - name: title
      dtype: string
    - name: usertags
      dtype: string
    - name: machinetags
      dtype: string
    - name: longitude
      dtype: float64
    - name: latitude
      dtype: float64
    - name: accuracy
      dtype: int64
    - name: pageurl
      dtype: string
    - name: downloadurl
      dtype: string
    - name: serverid
      dtype: int64
    - name: farmid
      dtype: int64
    - name: secret
      dtype: string
    - name: secretoriginal
      dtype: string
    - name: ext
      dtype: string
    - name: url
      dtype: string
    - name: key
      dtype: string
    - name: status
      dtype: string
    - name: error_message
      dtype: string
    - name: exif
      dtype: string
    - name: sha256
      dtype: string
    - name: description
      dtype: string
task_categories:
  - text-to-image
language:
  - en
---
# Dataset Card for CommonCatalog CC-BY-NC

This dataset is a large collection of high-resolution Creative Common images (composed of different licenses, see paper Table 1 in the Appendix) collected in 2014 from users of Yahoo Flickr. 
The dataset contains images of up to 4k resolution, making this one of the highest resolution captioned image datasets.
 
## Dataset Details

### Dataset Description

We provide captions synthetic captions to approximately 100 million high resolution images collected from Yahoo Flickr Creative Commons (YFCC).

- **Curated by:** Aaron Gokaslan 
- **Language(s) (NLP):** en
- **License:** See relevant yaml tag / dataset name.

### Dataset Sources

<!-- Provide the basic links for the dataset. -->

- **Repository:** https://github.com/mosaicml/diffusion  
- **Paper:** https://arxiv.org/abs/2310.16825
- **Demo:** See CommonCanvas Gradios

## Uses

We use CommonCatalog to train a family latent diffusion models called CommonCanvas.
The goal is to produce a model that is competitive with Stable Diffusion 2, but to do so using an easily accessible dataset of known provenance. 
Doing so makes replicating the model significantly easier, and provides a clearer mechanism for applying training-data attribution techniques. 


### Direct Use

Training text-to-image models
Training image-to-text models

### Out-of-Scope Use

<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->

* Commercial use
* Crafting content that is offensive or injurious towards individuals, including negative portrayals of their living conditions, cultural backgrounds, religious beliefs, etc.
* Deliberately creating or spreading content that is discriminatory or reinforces harmful stereotypes.
* Falsely representing individuals without their permission.
* Generating sexual content that may be seen by individuals without their consent.
* Producing or disseminating false or misleading information.
* Creating content that depicts extreme violence or bloodshed.
* Distributing content that modifies copyrighted or licensed material in a way that breaches its usage terms.

## Dataset Structure

The dataset is divided into 10 subsets each containing parquets about 4GB each. Each subfolder within contains a resolution range of the images and their respective aspect ratios.
The dataset is also divided along images licensed for commercial use (C) and those that are not (NC).

## Dataset Creation

### Curation Rationale

Creating a standardized, accessible dataset with synthetic caption and releasing it so other people can train on a common dataset for open source image generation.

### Source Data

Yahoo Flickr Creative Commons 100M Dataset and Synthetically Generated Caption Data.

#### Data Collection and Processing

All synthetic captions were generated with BLIP2. See paper for more details.

#### Who are the source data producers?

<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->

Users of Flickr

## Bias, Risks, and Limitations

See Yahoo Flickr Creative Commons 100M dataset for more information. The information was collected circa 2014 and known to have a bias towards internet connected Western countries. Some areas such as the global south lack representation.

## Citation

**BibTeX:**

```
@article{gokaslan2023commoncanvas,
  title={CommonCanvas: An Open Diffusion Model Trained with Creative-Commons Images},
  author={Gokaslan, Aaron and Cooper, A Feder and Collins, Jasmine and Seguin, Landan and Jacobson, Austin and Patel, Mihir and Frankle, Jonathan and Stephenson, Cory and Kuleshov, Volodymyr},
  journal={arXiv preprint arXiv:2310.16825},
  year={2023}
}
```

## Dataset Card Authors

[Aaron Gokaslan](https://huggingface.co/Skylion007)

## Dataset Card Contact

[Aaron Gokaslan](https://huggingface.co/Skylion007)