Datasets:
File size: 1,560 Bytes
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---
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
---
## IIIT-INDIC-HW-WORDS
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)
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