AMBILE Shah Jo Risalo Labaeled

AMBILE Shah Jo Risalo AMBILE Shah Jo Risalo Developed by: Abdul Majid Bhurgri Institute of Language Engineering (AMBILE), Hyderabad Under 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 How to Use Open the file using Python or Excel: import pandas as pd df = pd.read_csv(\"Bhittaipedia Risalo -(25-08-25).csv\") print(df.head()) 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: [e-mail]