| | --- |
| | license: mit |
| | language: |
| | - fa |
| | tags: |
| | - HTR |
| | - Arabic-scripts |
| | - persian-HTR |
| | size_categories: |
| | - 1K<n<10K |
| | --- |
| | |
| | # PHTD Line-Level Dataset (Cleaned and Split Version) |
| |
|
| | **Important:** I am *not* the creator or copyright holder of the original PHTD dataset. |
| | The underlying handwritten Persian page images and pixel-level masks were introduced in the following works: |
| |
|
| | 1. **Alaei et al., “A New Dataset of Persian Handwritten Documents and Its Segmentation,” ** |
| | 2. **Alaei, Pal & Nagabhushan, “Dataset and ground truth for handwritten text in four different scripts,” ** |
| |
|
| | This repository provides a **processed, line-level version** of that dataset, created for reproducible handwritten text recognition (HTR) research and for use with the CRHV framework. |
| | --- |
| |
|
| |
|
| | ## 📌 Citation |
| |
|
| | If you use this processed line-level dataset, please cite our paper:[CER-HV: A CER-Based Human-in-the-Loop Framework for Cleaning Datasets Applied to Arabic-Script HTR](https://www.arxiv.org/abs/2601.16713) |
| | and cite the original creators |
| |
|
| | ## ✨ What This Version Provides |
| |
|
| | The original PHTD dataset contains **page-level images** with **pixel-wise segmentation masks** identifying individual text lines. |
| | However, it does **not** include: |
| |
|
| | - extracted line images, |
| | - standardized train/validation/test splits, |
| | - or a leakage-free partition. |
| |
|
| | This dataset aims to provide exactly that. |
| |
|
| | ### ✔ Line Image Extraction |
| | Using the original pixel masks provided in the dataset, each text line was isolated by: |
| |
|
| | - extracting the minimal bounding box of each mask region, |
| | - applying a 5-pixel padding margin, |
| | - masking out all non-target pixels, |
| | - and generating a clean cropped line image. |
| |
|
| | This results in accurate line-level samples that preserve the original handwritten content. |
| |
|
| | ### ✔ Leakage-Free Dataset Splits |
| | The original page set contains **near-duplicate pages** and text overlaps. |
| | To prevent data leakage between training and evaluation splits: |
| |
|
| | - we computed pairwise similarity between pages, |
| | - identified overlapping and duplicate pages, |
| | - restricted validation and test sets to *non-overlapping* pages only. |
| |
|
| | This ensures that evaluation is fair and does not unintentionally benefit from training-page content. |
| |
|
| | ### ✔ Standardized Train/Validation/Test Structure |
| | Each split follows a unified directory structure: |
