| --- |
| pretty_name: Frontend React Dataset |
| language: |
| - en |
| task_categories: |
| - image-to-text |
| tags: |
| - screenshot-to-code |
| - react |
| - tsx |
| - ui-generation |
| - multimodal |
| size_categories: |
| - 1K<n<10K |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-*.parquet |
| --- |
| |
| # Frontend React Dataset |
|
|
| This dataset contains 1,000 matched examples for training and evaluating |
| multimodal screenshot-to-code systems. |
|
|
| ## Dataset structure |
|
|
| The dataset has one `train` split and exactly three columns: |
|
|
| - `screenshot`: the source webpage screenshot as an embedded PNG image |
| - `description`: a detailed, section-by-section visual description generated |
| with Gemini 3.6 Flash |
| - `response`: React/TSX implementation generated with GPT-5.6 Sol |
|
|
| The `response` field contains extracted source code without surrounding Markdown |
| code fences. |
|
|
| ## Quality checks |
|
|
| - All 1,000 source images were matched to their corresponding description and |
| code response. |
| - Image SHA-256 hashes were checked while packaging the dataset. |
| - Every response passed static TSX syntax validation with esbuild. |
| - API generation status was successful for all 1,000 examples. |
|
|
| Static syntax validation does not guarantee pixel-perfect visual similarity or |
| that every example runs without its expected React dependencies. |
|
|
| ## Intended use |
|
|
| This dataset is intended for research and development involving: |
|
|
| - screenshot-to-React generation |
| - multimodal code generation |
| - UI reconstruction |
| - supervised fine-tuning and evaluation |
|
|
| Review the source screenshots and generated code for licensing, privacy, and |
| redistribution requirements before making the dataset public or using it |
| commercially. |
|
|
