prthm29/Gujarati-Handwritten-Dataset

Gujarati Handwritten Word Dataset

This dataset is a subset of the IIIT-INDIC-HW-WORDS collection, specifically focused on the Gujarati language. It is designed for training and evaluating Handwritten Text Recognition (HTR) models.

Dataset Summary

The original IIIT-INDIC-HW-WORDS is a large-scale benchmark for Indic scripts. This Gujarati subset contains word-level images manually written by multiple annotators to capture natural variations in handwriting styles.

Key Statistics

Feature	Count
Total Word Images	82,563
Train Set	48,430
Validation Set	17,643
Test Set	16,490

---

Dataset Structure & Extraction

The dataset consists of image folders and corresponding annotation text files. Follow these instructions to map images to their transcriptions:

1. Files Overview

• Images: Located in the train/, val/, and test/ folders.
• Labels: Provided in train.txt, val.txt, and test.txt.
• Lexicon: vocab.txt contains the full list of Unicode strings used in the dataset.

2. Label Format

Each row in the label files (train.txt, val.txt, test.txt) follows this format: <FileName>, <VocabId>

3. Mapping Logic

The <VocabId> is a 0-indexed pointer to the line number in vocab.txt.

• Step 1: Locate the VocabId for an image in the split text file.
• Step 2: Go to that specific line number in vocab.txt to extract the Unicode Gujarati string.

---

Citation

If you use this dataset in your research, please cite the following paper:

@inproceedings{gongidi2021iiit,
  title={IIIT-Indic-HW-Words: A Dataset for Indic Handwritten Text Recognition},
  author={Gongidi, Santhoshini and Jawahar, CV},
  booktitle={Proceedings of the 16th International Conference on Document Analysis and Recognition (ICDAR)},
  pages={444--459},
  year={2021},
  organization={Springer}
}