DOI: 10.5281/zenodo.16991252
title: AMBILE Shah Jo Risalo Labeled

description: AMBILE Shah Jo Risalo


Developed by:Abdul Majid Bhurgri Institute of Language Engineering (AMBILE), HyderabadUnder the administrative control of the Culture, Tourism, Antiquities & Archives Department, Government of Sindh



Dataset Overview


The "Shah Jo Risalo" dataset serves as a comprehensive linguistic and literary resource, encompassing 4,767 Sindhi poetic verses drawn from the 30 traditional Surs (sections) of the esteemed magnum opus of Shah Abdul Latif Bhittai. Each poetic verse, written in Sindhi Arabic Perso, is meticulously paired with its Roman Script, Devanagri Script, along with translations in Sindhi, English (translated by Amar Fayaz Buriro), Urdu (translated by Agha Saleem), and Punjabi (translated by Kartar Singh Arsh). This dataset offers valuable insights into the philosophical, spiritual, and cultural dimensions embedded within the poetry, making it an indispensable asset for researchers, linguists, educators, and developers working on Sindhi literature and AI/NLP applications.



Dataset Features




Total Verses: 4,767 poetic lines from 30 classical Surs

Language: Clean Sindhi script in Unicode format

File Format: CSV file titled Bhittaipedia Risalo -(25-08-25).csv




CSV Structure


The dataset is organized into the following fields:



Row_ID: Unique identifier for each row

Melody Number: Identifier for the melody associated with the verse

Melody (سر): Name of the Sur (chapter)

Chapter Number: Verse number within the Sur

Chapter (داستان): Subsection within the Sur

Type: Type or category of the verse

Bait / Vaayi Number: Number associated with the poetic form

Sindhi Arabic Perso: Original Sindhi poetic verse

Roman Script: Sindhi verse in Roman script

Devanagri Script: Sindhi verse in Devanagri script

Explanation: Sindhi interpretation of the verse

English Translation: Translated by Amar Fayaz Buriro

Urdu Translation: Translated by Agha Saleem

Punjabi Translation: Translated by Kartar Singh Arsh

Keywords: Search-optimized terms for easier data retrieval




Applications


This dataset is a valuable resource for a variety of applications, including but not limited to:



Natural Language Processing (NLP) research in Sindhi language

Development of AI-powered Sindhi chatbots and conversational agents

Creation of educational tools for literature learning

Text-to-Speech (TTS) system training

Verse classification and sentiment analysis projects

Digital preservation and promotion of Sindhi literary heritage




Data Source


The dataset is sourced from the AMBILE Bhittaipedia project, which aims to digitize and preserve the cultural heritage of Sindhi literature.



How to Use




Clone the repository or download the CSV file.

Open the CSV file using Python or Excel: python import pandas as pd df = pd.read_csv("Bhittaipedia Risalo -(25-08-25).csv") print(df.head())




Data Source


The dataset is sourced from the AMBILE Bhittaipedia project.



License:


This dataset is released under the Creative Commons Attribution-NonCommercial 4.0 License. It is intended for educational and research purposes only.



Acknowledgments:


Special thanks to the AMBILE team for their involvement in data compilation and cleaning.



Contact:


For any queries, collaboration opportunities, or contributions, please contact:



Email: datasets@sindh.ai