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README.md
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| 1 |
+
---
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| 2 |
+
language:
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| 3 |
+
- ckb
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| 4 |
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- ar
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| 5 |
+
- ur
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| 6 |
+
license: cc-by-nc-4.0
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| 7 |
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tags:
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| 8 |
+
- handwritten-text-recognition
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| 9 |
+
- kurdish
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| 10 |
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- arabic
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| 11 |
+
- urdu
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| 12 |
+
- densenet
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| 13 |
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- transformer
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| 14 |
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- pytorch
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| 15 |
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- safetensors
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| 16 |
+
datasets:
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| 17 |
+
- DASTNUS
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| 18 |
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- KHATT
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| 19 |
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- PUCIT
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| 20 |
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metrics:
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| 21 |
+
- cer
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| 22 |
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- wer
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| 23 |
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pipeline_tag: image-to-text
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| 24 |
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---
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| 25 |
+
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| 26 |
+
# KHLR: Kurdish Handwritten Line Recognition
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| 27 |
+
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| 28 |
+
**A DenseNet121-Transformer Architecture with Constrained Synthetic Line Generation**
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| 29 |
+
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| 30 |
+
This repository contains the source code, trained models, and vocabularies for Kurdish handwritten line recognition, with cross-dataset generalization to Arabic (KHATT) and Urdu (PUCIT) handwritten datasets.
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| 31 |
+
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| 32 |
+
---
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| 33 |
+
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| 34 |
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## Repository Structure
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| 35 |
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| 36 |
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```
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| 37 |
+
KHLR/
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| 38 |
+
βββ Kurdish-HLR-Model/ # Best Kurdish model (safetensors + config)
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| 39 |
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βββ Arabic-HLR-Model/ # Fine-tuned on KHATT Arabic dataset
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| 40 |
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βββ Urdu-HLR-Model/ # Fine-tuned on PUCIT Urdu dataset
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| 41 |
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βββ Scripts/
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| 42 |
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β βββ train.py # Main training script
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| 43 |
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β βββ synthetic_line_generator.py # Recipe-based synthetic line generation
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| 44 |
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β βββ inference.py # Single image / batch inference
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| 45 |
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βββ Sample/
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β βββ sample_image.tif # Example handwritten line image
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| 47 |
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β βββ sample_image.txt # Corresponding ground truth
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| 48 |
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βββ requirements.txt
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| 49 |
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βββ README.md
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| 50 |
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```
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| 51 |
+
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| 52 |
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## Architecture
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| 53 |
+
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| 54 |
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| Component | Details |
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| 55 |
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|-----------|---------|
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| 56 |
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| CNN Backbone | DenseNet-121 (ImageNet pre-trained) |
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| 57 |
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| Encoder | 3 Transformer encoder layers |
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| 58 |
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| Decoder | 3 Transformer decoder layers |
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| 59 |
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| Attention Heads | 8 |
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| 60 |
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| Hidden Size | 256 |
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| 61 |
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| Feed-Forward Dim | 1024 |
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| 62 |
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| Total Parameters | ~12.8M |
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| 63 |
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| 64 |
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## Performance
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| 65 |
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| 66 |
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### Kurdish (DASTNUS)
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| 67 |
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| Configuration | CER | WER | CRR (%) |
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| 69 |
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|--------------|-----|-----|---------|
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| 70 |
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| +AA+SKHL+FHL-50 | 0.0593 | 0.3083 | 94.07 |
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| 71 |
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| +AA+SKHL+FHL-50 + 8-gram LM | 0.0534 | 0.2746 | 94.66 |
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| 72 |
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| 73 |
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### Cross-Dataset Generalization
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| 74 |
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| 75 |
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| Dataset | Language | CER | WER | CRR (%) |
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| 76 |
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|---------|----------|-----|-----|---------|
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| 77 |
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| KHATT | Arabic | 0.1135 | 0.4156 | 88.65 |
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| 78 |
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| PUCIT | Urdu | 0.0932 | 0.2799 | 90.68 |
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| 79 |
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| 80 |
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## Installation
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| 81 |
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| 82 |
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```bash
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| 83 |
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git clone https://huggingface.co/karez/KHLR
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| 84 |
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cd KHLR
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| 85 |
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pip install -r requirements.txt
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| 86 |
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```
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| 87 |
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| 88 |
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## Quick Start
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| 89 |
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| 90 |
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### Inference
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| 91 |
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| 92 |
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```bash
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| 93 |
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# Single image (using .pth checkpoint)
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| 94 |
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python Scripts/inference.py \
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| 95 |
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--image Sample/sample_image.tif \
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| 96 |
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--model_path Kurdish-HLR-Model/model.safetensors \
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--vocab_path Kurdish-HLR-Model/vocab.json
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| 98 |
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| 99 |
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# Directory of images
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python Scripts/inference.py \
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--image_dir ./test_images \
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--model_path Kurdish-HLR-Model/model.safetensors \
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| 103 |
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--vocab_path Kurdish-HLR-Model/vocab.json
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| 104 |
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```
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### Training
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| 107 |
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| 108 |
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```bash
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| 109 |
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# Basic training (unique handwritten lines only)
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python Scripts/train.py \
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| 111 |
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--data_dir ./data/DASTNUS \
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--vocab_path Kurdish-HLR-Model/vocab.json
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| 113 |
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| 114 |
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# Full training with synthetic lines + writer mixing (best configuration)
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python Scripts/train.py \
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| 116 |
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--data_dir ./data/DASTNUS \
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| 117 |
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--vocab_path Kurdish-HLR-Model/vocab.json \
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| 118 |
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--use_synthetic \
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| 119 |
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--synthetic_dir ./data/Synthetic-Lines \
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| 120 |
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--use_writer_mixing \
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| 121 |
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--fixed_lines_dir ./data/Fixed-Lines \
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| 122 |
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--num_writers 50
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| 123 |
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```
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| 124 |
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| 125 |
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### Synthetic Line Generation
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| 126 |
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| 127 |
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```bash
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| 128 |
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python Scripts/synthetic_line_generator.py \
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| 129 |
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--unique_words_dir ./data/Unique-Words \
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| 130 |
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--person_names_dir ./data/Person-Names \
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| 131 |
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--output_dir ./data/Synthetic-Lines \
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| 132 |
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--training_writers ./writers/Training.txt \
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| 133 |
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--validation_writers ./writers/Validation.txt \
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| 134 |
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--testing_writers ./writers/Testing.txt
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| 135 |
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```
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| 136 |
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| 137 |
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## Models
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| 138 |
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| 139 |
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| Model | Language | Vocabulary | Format |
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| 140 |
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|-------|----------|-----------|--------|
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| 141 |
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| Kurdish-HLR-Model | Kurdish (Sorani) | 114 tokens | safetensors |
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| 142 |
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| Arabic-HLR-Model | Arabic | 192 tokens (unified) | safetensors |
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| 143 |
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| Urdu-HLR-Model | Urdu | 192 tokens (unified) | safetensors |
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| 144 |
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| 145 |
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The Arabic and Urdu models use a triple unified vocabulary (Kurdish + Arabic + Urdu) enabling cross-script transfer learning.
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| 146 |
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| 147 |
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## Dataset
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| 148 |
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| 149 |
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The models were trained using the following subsets of the **DASTNUS** Kurdish handwritten dataset:
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| 150 |
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| 151 |
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| Data Source | Training | Validation | Testing |
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| 152 |
+
|-------------|----------|------------|---------|
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| 153 |
+
| Unique handwritten lines | 3,575 | 655 | 649 |
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| 154 |
+
| Synthetic handwritten lines | 3,762 | - | - |
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| 155 |
+
| Fixed-content lines (50 writers) | 512 | - | - |
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| 156 |
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| **Total** | **7,849** | **655** | **649** |
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| 157 |
+
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| 158 |
+
The data used in this research is available upon request for non-commercial scientific research purposes only.
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| 159 |
+
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| 160 |
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## Citation
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| 161 |
+
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| 162 |
+
```bibtex
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| 163 |
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[]
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| 164 |
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```
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| 165 |
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| 166 |
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## License
|
| 167 |
+
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| 168 |
+
This repository is released for **non-commercial scientific research purposes only**.
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