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--- |
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dataset_info: |
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features: |
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- name: id |
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dtype: string |
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- name: sketch |
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dtype: image |
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- name: source_html |
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dtype: string |
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- name: source_screenshot |
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dtype: image |
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splits: |
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- name: train |
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num_bytes: 178040827.0 |
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num_examples: 731 |
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download_size: 136077581 |
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dataset_size: 178040827.0 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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--- |
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The Sketch2Code dataset consists of 731 human-drawn sketches paired with 484 real-world webpages from the [Design2Code dataset](https://huggingface.co/datasets/SALT-NLP/Design2Code), serving to benchmark Vision-Language Models (VLMs) on converting rudimentary sketches into web design prototypes. |
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See the dataset in raw files [here](https://huggingface.co/datasets/SALT-NLP/Sketch2Code). |
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Note that all images in these webpages are replaced by a blue placeholder image (rick.jpg). |
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Please refer to our [Project Page](https://salt-nlp.github.io/Sketch2Code-Project-Page/) for more detailed information. |
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