| --- |
| license: apache-2.0 |
| task_categories: |
| - image-to-text |
| language: |
| - gu |
| tags: |
| - handwritten-text-recognition |
| - htr |
| - gujarati |
| - ocr |
| - iiit-indic-hw-words |
| pretty_name: Gujarati Handwritten Dataset (IIIT-INDIC-HW-WORDS) |
| size_categories: |
| - 10K-100K |
| dataset_info: |
| features: |
| - name: file_name |
| dtype: string |
| - name: text |
| dtype: string |
| - name: image |
| dtype: image |
| splits: |
| - name: train |
| num_bytes: 2867138581.533 |
| num_examples: 82563 |
| - name: val |
| num_bytes: 632023288.427 |
| num_examples: 17643 |
| - name: test |
| num_bytes: 597646751.57 |
| num_examples: 16490 |
| download_size: 4016768714 |
| dataset_size: 4096808621.53 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| - split: val |
| path: data/val-* |
| - split: test |
| path: data/test-* |
| --- |
| |
| # 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](https://cvit.iiit.ac.in/usodi/istr.php) 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: |
|
|
| ```bibtex |
| @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} |
| } |
| ``` |
|
|
