Datasets:
license: apache-2.0
task_categories:
- image-to-image
- text-classification
- feature-extraction
language:
- sa
- hi
tags:
- code
pretty_name: Shlok vs Non Shlok in Shiv puran
size_categories:
- n<1K
Dataset Card for Shlok vs Non Shlok in Shiv puran
This dataset will enable a object detection model to differentiate between shlok vs Non-Shlok in this types of books, after that shloks can be cropped and a parallel corpus of image-text can be created.
Dataset Details
Dataset Description
- Curated by: 13Aluminium
- License: Apache2.0
Dataset Sources
PDF from internet archive was used, will link it here later
Uses
To further develop Sanskrit OCR
Direct Use
Write a python script to crop the shlok boxes and then manually link them to the text, either by annotating(too lengthy) or make a json key-value pair.
Dataset Structure
the annotation files have all the coordinates and that stuff.
from page_0 to page_102 ---> Vidhyeshwar Samhita(manually annotated, and then trained a model on it, will link the model later)
from page_103 to page_463 ---> Rudra Samhita(Used the model to do infernece, and then some outliers were manually annotated)
from page_464 to page_508 ---> Shat Rudra Samhita(Used the model to do infernece, and then some outliers were manually annotated)