---
pretty_name: CommonSketch
license: cc-by-4.0
task_categories:
- image-classification
- image-to-text
- visual-question-answering
language:
- en
tags:
- image
- sketch
- captions
- visual-question-answering
- commonsense
- abstraction
- computer-vision
size_categories:
- 10K<n<100K
---

# CommonSketch

## Dataset Summary

CommonSketch is a semantically annotated sketch dataset introduced in the paper [SEA: Evaluating Sketch Abstraction Efficiency via Element-level Commonsense Visual Question Answering](https://arxiv.org/abs/2603.28363). The dataset contains 23,100 human-drawn sketches across 300 object classes. Each sketch is paired with a fine-grained caption and element-level commonsense annotations for evaluating sketch abstraction and semantic recognizability.

## Dataset Structure

```text
CommonSketch/
  data/
    train-00000-of-00012.parquet
    ...
  metadata.csv
  captions.csv
  vqa_element_annotation.json
  metadata/
    classes.csv
    classes.txt
    commonsense_elements.json
```

## Data Fields

The main row-level metadata is provided in `metadata.csv`.

| Field | Description |
| --- | --- |
| `file_name` | Relative path to the sketch image. |
| `caption` | Fine-grained caption describing the sketch. |
| `class_name` | Object class name. |
| `class_id` | Class identifier from `001` to `300`. |
| `category` | High-level category for the class. |

The Parquet files under `data/` provide the dataset examples for direct loading with the Hugging Face `datasets` library. Each row contains the following fields:

| Field | Description |
| --- | --- |
| `image` | Sketch image embedded in the dataset. |
| `file_name` | Original relative image path. |
| `caption` | Fine-grained caption describing the sketch. |
| `class_name` | Object class name. |
| `class_id` | Class identifier from `001` to `300`. |
| `category` | High-level category for the class. |
| `element_annotation` | JSON-serialized binary element annotation for the sketch. |

The `captions.csv` file provides the image-caption pairs with the following fields.

| Field | Description |
| --- | --- |
| `image` | Image file name. |
| `caption` | Fine-grained caption describing the sketch. |

## Annotation Files

`vqa_element_annotation.json` contains image-level binary element annotations. Each annotation indicates whether a class-specific commonsense element is present in the sketch.

`metadata/commonsense_elements.json` defines the class-level commonsense element schema used by the VQA annotations. Each class entry includes its `class_id`, `total_elements`, and the list of element definitions.

`metadata/classes.csv` provides the 300 class names, class IDs, high-level categories, and the number of commonsense elements per class. `metadata/classes.txt` provides the class list only.

## Category Statistics

| Category | # Classes |
| --- | ---: |
| animal | 61 |
| body part | 7 |
| clothing | 8 |
| container | 9 |
| electronic device | 22 |
| food | 28 |
| furniture | 25 |
| icon | 13 |
| musical instrument | 11 |
| nature | 14 |
| sports equipment | 14 |
| structure | 28 |
| tool | 37 |
| vehicle | 23 |

## Usage

After upload to the Hugging Face Hub, the dataset can be loaded with:

```python
from datasets import load_dataset

dataset = load_dataset("ziiio/CommonSketch")
```

The `image` field contains the sketch image, and `element_annotation` contains the image-level element annotation as a JSON string.

## License

CommonSketch is released under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. If you use CommonSketch, please cite the SEA paper.

## Citation

```bibtex
@article{park2026sea,
  title={SEA: Evaluating Sketch Abstraction Efficiency via Element-level Commonsense Visual Question Answering},
  author={Park, Jiho and Choi, Sieun and Seo, Jaeyoon and Sohn, Minho and Kim, Yeana and Kim, Jihie},
  journal={arXiv preprint arXiv:2603.28363},
  year={2026}
}
```

## Links

- Paper: https://arxiv.org/abs/2603.28363
- PDF: https://arxiv.org/pdf/2603.28363
- Code: https://github.com/zihos/SEA
- Project page: https://zihos.github.io/SEA

## Note

CommonSketch includes a subset of the SketchDUO dataset. For more information about SketchDUO, please refer to https://huggingface.co/datasets/ziiio/SketchDUO.