| --- |
| license: other |
| license_name: conceptual-12m |
| license_link: LICENSE |
| task_categories: |
| - image-to-text |
| size_categories: |
| - 10K<n<100K |
| --- |
| # Dataset Card for Conceptual Captions 12M (CC12M) |
|
|
| ## Dataset Description |
|
|
| - **Repository:** [Conceptual 12M repository](https://github.com/google-research-datasets/conceptual-12m) |
| - **Paper:** [Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts](https://arxiv.org/abs/2102.08981) |
| - **Point of Contact:** [Conceptual Captions e-mail](mailto:conceptual-captions@google.com) |
|
|
| ### 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](https://github.com/webdataset/webdataset/commits/main) .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 |
|
|
| ```bibtex |
| @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}, |
| } |
| ``` |
