README.md

metadata

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
By: Santhoshini Gongidi and C. V. Jawahar
Available At: https://cvit.iiit.ac.in/research/projects/cvit-projects/iiit-indic-hw-words