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license: mit
language:
- en
- hi
tags:
- ner
- address-parsing
- indian-addresses
- bert
- crf
datasets:
- custom
metrics:
- f1
- precision
- recall
model-index:
- name: indian-address-parser-model
results:
- task:
type: token-classification
name: Named Entity Recognition
metrics:
- type: f1
value: 0.80
name: F1 (micro)
- type: precision
value: 0.79
name: Precision (micro)
- type: recall
value: 0.81
name: Recall (micro)
---
# Indian Address Parser Model
A fine-tuned **IndicBERTv2-SS + CRF** model for parsing unstructured Indian addresses into structured components.
## Model Description
- **Base Model**: [ai4bharat/IndicBERTv2-SS](https://huggingface.co/ai4bharat/IndicBERTv2-SS)
- **Architecture**: BERT + Conditional Random Field (CRF) layer
- **Languages**: English, Hindi (Latin and Devanagari scripts)
- **Training Data**: 600+ annotated Delhi addresses
## Performance
| Entity Type | Precision | Recall | F1-Score |
|---------------|-----------|--------|----------|
| AREA | 0.87 | 0.87 | 0.87 |
| CITY | 1.00 | 1.00 | 1.00 |
| FLOOR | 0.85 | 0.85 | 0.85 |
| GALI | 0.75 | 0.67 | 0.71 |
| HOUSE_NUMBER | 0.79 | 0.79 | 0.79 |
| KHASRA | 0.75 | 0.82 | 0.78 |
| PINCODE | 1.00 | 1.00 | 1.00 |
| **Overall** | **0.79** | **0.81**| **0.80** |
## Supported Entity Types
- `HOUSE_NUMBER` - House/Plot/Flat numbers
- `FLOOR` - Floor indicators (Ground, First, etc.)
- `BLOCK` - Block identifiers
- `SECTOR` - Sector numbers
- `GALI` - Gali (lane) numbers
- `COLONY` - Colony/Society names
- `AREA` - Area/Locality names
- `SUBAREA` - Sub-area names
- `KHASRA` - Khasra (land record) numbers
- `PINCODE` - 6-digit postal codes
- `CITY` - City names
- `STATE` - State names
## Usage
```python
from address_parser import AddressParser
# Load model
parser = AddressParser.from_pretrained("YOUR_USERNAME/indian-address-parser-model")
# Parse address
result = parser.parse("PLOT NO752 FIRST FLOOR, BLOCK H-3, NEW DELHI, 110041")
# Access structured output
print(result.house_number) # "PLOT NO752"
print(result.floor) # "FIRST FLOOR"
print(result.city) # "NEW DELHI"
print(result.pincode) # "110041"
```
## Demo
Try the live demo: [HuggingFace Space](https://huggingface.co/spaces/YOUR_USERNAME/indian-address-parser)
## License
MIT License
|