README.md

Dataset Card for Fondant's free to use images

Table of Contents

• Table of Contents
• Dataset Description
  • Changelog
  • Dataset Summary
  • Supported Tasks and Leaderboards
  • How to use it
• Dataset Structure
  • Data Instances
  • Data Fields
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Personal and Sensitive Information
• Considerations for Using the Data
  • Social Impact of Dataset
  • Discussion of Biases
  • Other Known Limitations
• Additional Information
  • Dataset Curators
  • Licensing Information
  • Citation Information
  • Contributions
• Terms of Use for Dataset

Dataset Desricption

• Homepage: https://www.fondant.ai/
• Repository: https://github.com/ml6team/fondant
• Paper: N/A
• Leaderboard: N/A
• Point of Contact: info@fondant.ai

Changelog

Release	Description
v1.0	Initial release of the [TODO:dataset name]

Dataset Summary

[Dataset name] contains 25 million image URLs available for use under Creative Commons license obtained from the Common Crawl web corpus. The dataset was created as part of Fondant, a open-source framework for building composable data preparation pipelines for training (and fine-tuning) foundation models.

Supported Tasks and Leaderboards

How to use it

from  datasets  import  load_dataset

# full dataset (3TB of data)
ds = load_dataset("fondantai/cc-25m")

# dataset streaming (will only download the data as needed)
ds = load_dataset("fondantai/cc-25m", streaming=True)
print(next(iter(dataset))) #TODO: add int ids?

TODO: How to use in a fondant pipeline?

Dataset Structure

• image_url (string): image url to download the image
• alt_text (string): alternative text of the image
• webpage_url (string): webpage source of the image
• license_type (string): creative commons licence type of the image
• license_location (string): location of the license on the webpage
• surt_url (string): sort friendly image url with top level domain as the prefix

Dataset Creation

Curation Rationale

Source Data

Initial Data Collection and Normalization

License detection

Who are the source language producers?

Personal and Sensitive Information

The released dataset may contain sensitive information such as names, emails and addresses that have previously been published to the Internet. In the event that the dataset contains personal information, researchers should only use public, non-personal information in support of conducting and publishing their open-access research. Personal information should not be used for spamming purposes, including sending unsolicited emails or selling of personal information. Complaints, removal requests, and "do not contact" requests can be sent to info@fondant.ai.

The PII filtering pipeline for this dataset is still a work in progress. Researchers that wish to contribute to the anonymization pipeline of the project can join here.

Opting out of [dataset name]

We are giving the public the ability to have their image removed from the dataset upon request. The process for submitting and enacting removal requests will keep evolving throughout the project as we receive feedback and build up more data governance tools. If you'd like to have your data removed from the dataset, contact us.

Considerations for Using the Data

Discussion of Biases

Other Known Limitations

Additional Information

Dataset Curators

1. Robbe Sneyders, ML6, robbe.sneyders@ml6.eu
2. Sharon Grundmann, ML6, sharon.grundmann@ml6.eu
3. Matthias Richter, ML6, matthias.richter@ml6.eu

Licensing Information

[Dataset name] is a collection of images with various Creative Commons licenses. Any use of all or part of the images gathered in [dataset name] must abide by the terms of the original licenses, including attribution clauses when relevant. We facilitate this by providing provenance information for each data point.

The list of Creative Commons license types included in the dataset can be found here.

Citation Information

[TODO]

Contributions

[More Information Needed]

Terms of Use for the [Dataset]