---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 1399209263.408
    num_examples: 69853
  - name: validation
    num_bytes: 260683454.608
    num_examples: 12708
  - name: test
    num_bytes: 252781030.535
    num_examples: 12869
  download_size: 1894274283
  dataset_size: 1912673748.551
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
task_categories:
- image-to-text
- image-classification
- image-to-image
language:
- hi
size_categories:
- 10K<n<100K
---

### Dataset containing images of hand written words in Devanagari by various humans and the corresponding text of those images.

## Overview
The IIIT-HW-Hindi dataset, originally developed by the Centre for Visual Information Technology (CVIT) at IIIT Hyderabad, has been transformed into Parquet format to facilitate its use in modern machine learning workflows. This dataset primarily targets recognition of handwritten Hindi words and aims to advance research and development in handwritten text recognition technologies for Indic scripts.

## Acknowledgement
Original: IIIT-INDIC-HW-WORDS: A Dataset for Indic Handwritten Text Recognition
<br/>
By: Santhoshini Gongidi and C. V. Jawahar
<br/>
Available At: [https://cvit.iiit.ac.in/research/projects/cvit-projects/iiit-indic-hw-words](https://cvit.iiit.ac.in/research/projects/cvit-projects/iiit-indic-hw-words)