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--- |
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dataset_info: |
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features: |
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- name: image |
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dtype: image |
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- name: question |
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dtype: string |
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- name: answer |
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sequence: int64 |
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splits: |
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- name: valid |
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num_bytes: 7094843893.125 |
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num_examples: 14631 |
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- name: train |
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num_bytes: 140854221157.57 |
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num_examples: 289911 |
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download_size: 51389456693 |
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dataset_size: 147949065050.695 |
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configs: |
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- config_name: default |
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data_files: |
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- split: valid |
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path: data/valid-* |
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- split: train |
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path: data/train-* |
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license: cc-by-4.0 |
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language: |
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- en |
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pretty_name: QA Patches Task Dataset |
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task_categories: |
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- image-text-to-text |
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- visual-question-answering |
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--- |
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# Dataset Card for Patch-Based Visual Question Answering Dataset |
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## Dataset Details |
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### Dataset Description |
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This dataset contains approximately 305,000 triplets of `question`, `answer`, and `image` designed for patch-based visual reasoning tasks. |
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A standard question in this dataset is formatted as follows: |
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> Image Grid: The image is divided into a 4x4 grid of 16 equal-sized patches. Patches are numbered sequentially from the top-left corner and moving right, then down to the next row. |
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> Task: Identify the patch number(s) that contain a potted plant. |
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> Response Format: Provide only the relevant patch number(s) as a list (e.g., [3], [5, 12], or [] if none are found). |
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The dataset is built on top of **COCO-2017**, from which object bounding boxes (bboxes) are used to generate questions and answers. |
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- **Curated by:** Yurii Potapov |
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- **Language(s) :** English |
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- **License:** Annotations and code: CC BY 4.0 (COCO), Images: Flickr Terms of Use |
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### Dataset Sources |
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- **Repository:** [Not yet published] |
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- **Paper:** [Not yet published] |
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- **Demo:** [More Information Needed] |
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## Uses |
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### Direct Use |
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- Training and evaluating **visual-language models (VLMs)** or other multimodal models. |
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- Patch-based object detection and reasoning. |
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- Research in **image question answering**, **visual reasoning**, and **multimodal representation learning**. |
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### Out-of-Scope Use |
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- Direct commercial redistribution of original COCO images without following Flickr Terms of Use. |
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- Use cases where original images are required to be displayed in full, due to copyright restrictions. |
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## Dataset Structure |
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- **question**: A textual description of the task referring to a 4x4 patch grid. |
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- **answer**: List of integers representing the patch indices containing the target object(s). |
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- **image**: Corresponding COCO-2017 image (PIL Image object or file path). |
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The dataset contains no explicit splits; users can generate their own train/validation/test splits as needed. |
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## Dataset Creation |
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### Curation Rationale |
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The dataset was created to facilitate **patch-level visual question answering** and to improve the training of visual-language models using real-world images with structured spatial queries. |
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### Source Data |
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The dataset is based on COCO-2017 images and annotations. Bounding boxes from COCO are used to determine which patches contain specific objects (e.g., potted plants). |
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#### Data Collection and Processing |
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- Images are sourced from COCO-2017 (Flickr) respecting their Terms of Use. |
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- Bounding boxes from COCO are used to automatically generate 4x4 grid questions. |
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- Each question asks which patch(es) contain a specific object. |
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- Answers are stored as lists of patch indices. |
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#### Who are the source data producers? |
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Original images were contributed by Flickr users and annotated by the COCO Consortium. |
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### Annotations |
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#### Annotation process |
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Annotations (bounding boxes) are sourced from COCO-2017. Patch assignments and questions were automatically generated programmatically based on bounding box locations. |
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#### Who are the annotators? |
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Annotations are from COCO annotators; patch-level questions are generated automatically. |
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#### Personal and Sensitive Information |
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The dataset does **not contain personal or sensitive information**. |
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## Bias, Risks, and Limitations |
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- Images reflect the distribution and biases present in COCO-2017. |
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- Models trained on this dataset may inherit biases from the original dataset. |
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- Limited to the objects annotated in COCO-2017. |
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### Recommendations |
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Users should be aware of the **copyright limitations of the original images** and provide attribution for COCO annotations. Use transformed or model-generated outputs rather than raw images for publication if possible. |
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## Glossary |
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- **Patch**: One of 16 equally sized blocks in a 4x4 grid over an image. |
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- **VLM (Visual-Language Model)**: A model that learns joint representations of images and text. |
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## Dataset Card Authors |
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Yurii Potapov |
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## Dataset Card Contact |
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yurii.a.potapov@gmail.com |
