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README.md
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title:
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sdk: gradio
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sdk_version:
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app_file: app.py
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pinned: false
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---
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---
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title: JSON Semantic Validator
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emoji: π
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colorFrom: blue
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colorTo: purple
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sdk: gradio
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sdk_version: 4.44.0
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app_file: app.py
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pinned: false
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license: mit
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short_description: Hybrid JSON validation with rules + ML auto-fixing
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models:
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- thearnabsarkar/json-semval-minilm-v1
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datasets:
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- thearnabsarkar/json-semval-synth-v1
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---
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# JSON Semantic Validator
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A hybrid JSON validator combining deterministic JSON Schema validation with ML-powered semantic error detection and auto-fixing.
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## π Quick Start
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1. **Select an example** from the dropdown or paste your own JSON schema and payload
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2. **Choose backend**:
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- `rules-only`: Fast deterministic validation only
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- `local`: Rules + ML predictions with heuristics
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- `onnx`: Rules + ML with ONNX inference (fastest)
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3. **Click "Run Validation"** to see errors and suggested fixes
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4. **Enable "Apply minimal fixes"** to auto-correct issues
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## β¨ Features
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- **Real-time validation** against JSON Schema Draft 2020-12
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- **Format checking** for dates, emails, URIs, etc.
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- **Smart error detection** using a fine-tuned MiniLM model
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- **Auto-fixing** with 8 fix actions:
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- Type casting (number, boolean)
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- Date parsing and normalization
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- Enum fuzzy matching
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- Key renaming for aliases
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- And more!
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## π Performance
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- **Rules-only**: Detects schema violations
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- **Hybrid (Rules + ML)**: 60-80% auto-fix success rate on synthetic data
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## π Related Resources
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- **Model**: [thearnabsarkar/json-semval-minilm-v1](https://huggingface.co/thearnabsarkar/json-semval-minilm-v1)
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- **Dataset**: [thearnabsarkar/json-semval-synth-v1](https://huggingface.co/datasets/thearnabsarkar/json-semval-synth-v1)
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- **GitHub**: [json-semantic-validator](https://github.com/thearnabsarkar/json-semantic-validator) (if applicable)
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## π Examples
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The app includes pre-loaded examples demonstrating:
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- Type mismatches (`"25"` instead of `25`)
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- Invalid dates (`"15 Jan 2024"` instead of `"2024-01-15"`)
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- Enum typos (`"pendng"` instead of `"pending"`)
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- Boolean text (`"yes"` instead of `true`)
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Try the examples to see the hybrid validator in action!
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## π οΈ Technical Details
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- **Base Model**: nreimers/MiniLM-L6-H384-uncased
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- **Error Types**: 8 semantic error categories
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- **Fix Actions**: 7 deterministic fix operations
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- **Inference**: PyTorch or ONNX for fast CPU inference
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## License
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MIT License
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