| --- |
| license: other |
| license_name: conceptual-captions |
| license_link: >- |
| https://github.com/google-research-datasets/conceptual-captions/blob/master/LICENSE |
| task_categories: |
| - image-to-text |
| size_categories: |
| - 1M<n<10M |
| --- |
| |
| # Dataset Card for Conceptual Captions (CC3M) |
|
|
| ## Table of Contents |
| - [Dataset Description](#dataset-description) |
| - [Dataset Summary](#dataset-summary) |
| - [Additional Information](#additional-information) |
| - [Dataset Curators](#dataset-curators) |
| - [Licensing Information](#licensing-information) |
| - [Citation Information](#citation-information) |
|
|
| ## Dataset Description |
|
|
| - **Homepage:** [Conceptual Captions homepage](https://ai.google.com/research/ConceptualCaptions/) |
| - **Repository:** [Conceptual Captions repository](https://github.com/google-research-datasets/conceptual-captions) |
| - **Paper:** [Conceptual Captions: A Cleaned, Hypernymed, Image Alt-text Dataset For Automatic Image Captioning](https://www.aclweb.org/anthology/P18-1238/) |
| - **Leaderboard:** [Conceptual Captions leaderboard](https://ai.google.com/research/ConceptualCaptions/competition?active_tab=leaderboard)https://ai.google.com/research/ConceptualCaptions/leaderboard?active_tab=leaderboard |
| - **Point of Contact:** [Conceptual Captions e-mail](mailto:conceptual-captions@google.com) |
| |
| ### Dataset Summary |
| |
| Conceptual Captions is a dataset consisting of ~3.3M images annotated with captions. In contrast with the curated style of other image caption annotations, Conceptual Caption images and their raw descriptions are harvested from the web, and therefore represent a wider variety of styles. More precisely, the raw descriptions are harvested from the Alt-text HTML attribute associated with web images. To arrive at the current version of the captions, we have developed an automatic pipeline that extracts, filters, and transforms candidate image/caption pairs, with the goal of achieving a balance of cleanliness, informativeness, fluency, and learnability of the resulting captions. |
| |
| ### 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 |
| * `cc3m-train-*.tar` |
| * Downloaded on 2021/12/22 |
| * 576 shards, 2905954 (of 3318333) samples |
| |
| #### Validation |
| * `cc3m-validation-*.tar` |
| * Downloaded on 2023/12/13 (original validation set download in 2021 was corrupted) |
| * 16 shards, 13443 (of 15840) samples |
| |
| ## Additional Information |
| |
| ### Dataset Curators |
| |
| Piyush Sharma, Nan Ding, Sebastian Goodman 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{sharma2018conceptual, |
| title = {Conceptual Captions: A Cleaned, Hypernymed, Image Alt-text Dataset For Automatic Image Captioning}, |
| author = {Sharma, Piyush and Ding, Nan and Goodman, Sebastian and Soricut, Radu}, |
| booktitle = {Proceedings of ACL}, |
| year = {2018}, |
| } |
| ``` |
