README.md

metadata

title: JSON Semantic Validator
emoji: 🔍
colorFrom: blue
colorTo: purple
sdk: gradio
sdk_version: 4.44.0
app_file: app.py
pinned: false
license: mit
short_description: Hybrid JSON validation with rules + ML auto-fixing
models:
  - thearnabsarkar/json-semval-minilm-v1
datasets:
  - thearnabsarkar/json-semval-synth-v1

JSON Semantic Validator

A hybrid JSON validator combining deterministic JSON Schema validation with ML-powered semantic error detection and auto-fixing.

🚀 Quick Start

1. Select an example from the dropdown or paste your own JSON schema and payload
2. Choose backend:
   • rules-only: Fast deterministic validation only
   • local: Rules + ML predictions with heuristics
   • onnx: Rules + ML with ONNX inference (fastest)
3. Click "Run Validation" to see errors and suggested fixes
4. Enable "Apply minimal fixes" to auto-correct issues

✨ Features

• Real-time validation against JSON Schema Draft 2020-12
• Format checking for dates, emails, URIs, etc.
• Smart error detection using a fine-tuned MiniLM model
• Auto-fixing with 8 fix actions:
  • Type casting (number, boolean)
  • Date parsing and normalization
  • Enum fuzzy matching
  • Key renaming for aliases
  • And more!

📊 Performance

• Rules-only: Detects schema violations
• Hybrid (Rules + ML): 60-80% auto-fix success rate on synthetic data

🔗 Related Resources

• Model: thearnabsarkar/json-semval-minilm-v1
• Dataset: thearnabsarkar/json-semval-synth-v1
• GitHub: json-semantic-validator (if applicable)

📝 Examples

The app includes pre-loaded examples demonstrating:

• Type mismatches ("25" instead of 25)
• Invalid dates ("15 Jan 2024" instead of "2024-01-15")
• Enum typos ("pendng" instead of "pending")
• Boolean text ("yes" instead of true)

Try the examples to see the hybrid validator in action!

🛠️ Technical Details

• Base Model: nreimers/MiniLM-L6-H384-uncased
• Error Types: 8 semantic error categories
• Fix Actions: 7 deterministic fix operations
• Inference: PyTorch or ONNX for fast CPU inference

License

MIT License