Dataset Card for Conceptual Captions 12M (CC12M)

Dataset Description

• Repository: Conceptual 12M repository
• Paper: Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts
• Point of Contact: Conceptual Captions e-mail

Dataset Summary

Conceptual 12M (CC12M) is a dataset with 12 million image-text pairs specifically meant to be used for visionand-language pre-training. Its data collection pipeline is a relaxed version of the one used in Conceptual Captions 3M (CC3M).

Usage

This instance of Conceptual Captions is in webdataset .tar format. It can be used with webdataset library or upcoming releases of Hugging Face datasets.

...More Detail TBD

Data Splits

This dataset was downloaded using img2dataset. Images resized on download if shortest edge > 512 to shortest edge = 512.

Train

• cc12m-train-*.tar
• Downloaded on 2021/18/22
• 2176 shards, 10968539 samples

Additional Information

Dataset Curators

Soravit Changpinyo, Piyush Sharma, Nan Ding and Radu Soricut.

Licensing Information

The dataset may be freely used for any purpose, although acknowledgement of Google LLC ("Google") as the data source would be appreciated. The dataset is provided "AS IS" without any warranty, express or implied. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.

Citation Information

@inproceedings{changpinyo2021cc12m,
  title = {{Conceptual 12M}: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts},
  author = {Changpinyo, Soravit and Sharma, Piyush and Ding, Nan and Soricut, Radu},
  booktitle = {CVPR},
  year = {2021},
}