--- annotations_creators: - expert-generated - crowdsourced language: - en language_creators: - other license: - cc-by-4.0 multilinguality: - monolingual pretty_name: DOCCI size_categories: - 10K, 'example_id': 'qual_dev_00000', 'description': 'An indoor angled down medium close-up front view of a real sized stuffed dog with white and black colored fur wearing a blue hard hat with a light on it. A couple inches to the right of the dog is a real sized black and white penguin that is also wearing a blue hard hat with a light on it. The dog is sitting, and is facing slightly towards the right while looking to its right with its mouth slightly open, showing its pink tongue. The dog and penguin are placed on a gray and white carpet, and placed against a white drawer that has a large gray cushion on top of it. Behind the gray cushion is a transparent window showing green trees on the outside.' } ``` ### Data Fields Name | Explanation --- | --- `image` | PIL.JpegImagePlugin.JpegImageFile `example_id` | The unique ID of an example follows this format: `_`. `description` | Text description of the associated image. ### Data Splits Dataset | Train | Test | Qual Dev | Qual Test ---| ---: | ---: | ---: | ---: DOCCI | 9,647 | 5,000 | 100 | 100 DOCCI-AAR | 4,932 | 5,000 | -- | -- ## Dataset Creation ### Curation Rationale DOCCI is designed as an evaluation dataset for both text-to-image (T2I) and image-to-text (I2T) generation. Please see our paper for more details. ### Source Data #### Initial Data Collection All images were taken by one of the authors and their family. ### Annotations #### Annotation process All text descriptions were written by human annotators. We do not rely on any automated process in our data annotation pipeline. ### Personal and Sensitive Information We manually reviewed all images for personally identifiable information (PII), removing some images and blurring detected faces, phone numbers, and URLs to protect privacy. For text descriptions, we instructed annotators to exclude any PII, such as people's names, phone numbers, and URLs. After the annotation phase, we employed automatic tools to scan for PII, ensuring the descriptions remained free of such information. ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases [More Information Needed] ### Other Known Limitations [More Information Needed] ### Licensing Information CC BY 4.0 ### Citation Information ``` @inproceedings{OnoeDocci2024, author = {Yasumasa Onoe and Sunayana Rane and Zachary Berger and Yonatan Bitton and Jaemin Cho and Roopal Garg and Alexander Ku and Zarana Parekh and Jordi Pont-Tuset and Garrett Tanzer and Su Wang and Jason Baldridge}, title = {{DOCCI: Descriptions of Connected and Contrasting Images}}, booktitle = {arXiv}, year = {2024} } ```