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README.md

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+---
+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.

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