ambile-official/Shah_Jo_Risalo_labeld

Shah Abdul Latif Bhittai’s Poetry Dataset – “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 is a rich linguistic and literary resource comprising 43,779 Sindhi poetic verses extracted from the 30 traditional Surs of Shah Abdul Latif Bhittai’s magnum opus. Each verse is paired with a Sindhi-language explanation, primarily derived from the authoritative interpretations of Dr. Nabi Bakhsh Baloch.

This dataset offers profound insights into the philosophical, spiritual, and cultural themes embedded in the poetry, making it an invaluable asset for Sindhi literature researchers, linguists, educators, and AI/NLP developers.

Dataset Features:

• Total Verses: 43,779 poetic lines from 30 classical Surs
• Language: Clean Sindhi script in Unicode format
• File Format: CSV file titled Shah Jo Risalo labeled.csv

CSV Structure:

• melody (سر): Name of the Sur

• chapter (داستان): Subsection within the Sur

• chapter_verse_number: Verse number within the dastan

• poetry_text (بيت): Original Sindhi poetic verse

• explanation (وضاحت): Sindhi interpretation of the verse

• keywords: Search-optimized terms

• compiler_name:Name of the compiler of various versions of Shah Jo Risalo.

  Compilers:

  • Allama I. I. Qazi
  • Banhoo Khan Shaikh
  • Dr. Nabi Bux 28 Surs Explanation
  • Dr. Ernest Trumpp
  • GM Shahwani
  • Gurbakh Shani
  • Mirza Qaleech Baig
  • Tara Chand Shokeeram
  • Usman Ali Ansari
  • Usman Diplai
  • Adwani Kaliyan
  • Dr. Nabi Bux Baloch (1165–1207 Hijri)
  • Dr. Nabi Bux Baloch (1269 Hijri and 1270 Hijri)
  • Dr. Nabi Bux Baloch (British Museum)

Applications:

• Natural Language Processing (NLP) research in Sindhi
• AI-based Sindhi chatbots and conversational agents
• Development 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:

1. Clone the repository or download the CSV file.
2. Open the CSV file using Python or Excel:

   import pandas as pd
   df = pd.read_csv("Shah_Jo_Risalo_labeled.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: datasets@sindh.ai