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README.md
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license_name: conceptual-12m
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license_link: LICENSE
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---
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license_name: conceptual-12m
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license_link: LICENSE
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---
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# Dataset Card for Conceptual Captions 12M (CC12M)
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## Dataset Description
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- **Repository:** [Conceptual 12M repository](https://github.com/google-research-datasets/conceptual-12m)
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- **Paper:** [Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts](https://arxiv.org/abs/2102.08981)
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- **Point of Contact:** [Conceptual Captions e-mail](mailto:conceptual-captions@google.com)
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### Dataset Summary
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Conceptual 12M (CC12M) is a dataset with 12 million image-text pairs specifically meant to be used for visionand-language pre-training.
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Its data collection pipeline is a relaxed version of the one used in Conceptual Captions 3M (CC3M).
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### Usage
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This instance of Conceptual Captions is in [webdataset](https://github.com/webdataset/webdataset/commits/main) .tar format. It can be used with webdataset library or upcoming releases of Hugging Face `datasets`.
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...More Detail TBD
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### Data Splits
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This dataset was downloaded using img2dataset.
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#### Train
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* `cc12m-train-*.tar`
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* Downloaded on 2021/18/22
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* 2176 shards, 10968539 samples
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## Additional Information
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### Dataset Curators
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Soravit Changpinyo, Piyush Sharma, Nan Ding and Radu Soricut.
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### Licensing Information
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The dataset may be freely used for any purpose, although acknowledgement of
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Google LLC ("Google") as the data source would be appreciated. The dataset is
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provided "AS IS" without any warranty, express or implied. Google disclaims all
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liability for any damages, direct or indirect, resulting from the use of the
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dataset.
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### Citation Information
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```bibtex
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@inproceedings{changpinyo2021cc12m,
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title = {{Conceptual 12M}: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts},
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author = {Changpinyo, Soravit and Sharma, Piyush and Ding, Nan and Soricut, Radu},
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booktitle = {CVPR},
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year = {2021},
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}
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```
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