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]《AMBILE Shah Jo Risalo》数据集 开发单位：阿卜杜勒·马吉德·布尔格里语言工程研究所（Abdul Majid Bhurgri Institute of Language Engineering，简称AMBILE），坐落于海得拉巴，隶属于信德省政府文化、旅游、文物与档案署。 ## 数据集概览 本《Shah Jo Risalo》数据集是一套综合性语言文学资源，收录沙阿·阿卜杜勒·拉蒂夫·比塔伊（Shah Abdul Latif Bhittai）传世巨著的30个传统苏尔（Sur）章节中的4767首信德语诗歌。每首以信德阿拉伯-波斯文（Sindhi Arabic Perso）书写的诗歌均严谨对应罗马转写、天城文转写版本，同时附带信德语、英语（Amar Fayaz Buriro译）、乌尔都语（Agha Saleem译）及旁遮普语（Kartar Singh Arsh译）译本。本数据集可展现诗歌蕴含的哲学、精神与文化内涵，为信德语文学与人工智能自然语言处理领域的研究者、语言学者、教育工作者及开发者提供不可或缺的宝贵资源。 ## 数据集特征 - 总诗歌数：来自30个经典苏尔的4767行诗歌 - 语言格式：标准化Unicode编码信德语脚本 - 文件格式：名为"Bhittaipedia Risalo -(25-08-25).csv"的逗号分隔值（CSV）文件 ## CSV数据结构 数据集包含以下字段： 1. 行编号（Row_ID）：每条数据的唯一标识符 2. 旋律编号（Melody Number）：对应诗歌的旋律标识 3. 苏尔名（Melody (سر)）：苏尔（章节）的名称 4. 章节编号（Chapter Number）：该苏尔内的诗歌序号 5. 章节子项（Chapter (داستان)）：苏尔内的子章节 6. 诗歌类型（Type）：诗歌的类别或体裁 7. 贝伊特/瓦伊编号（Bait / Vaayi Number）：诗歌形式对应的编号 8. 信德阿拉伯-波斯文（Sindhi Arabic Perso）：原始信德语诗歌文本 9. 罗马转写（Roman Script）：信德语诗歌的罗马字母转写 10. 天城文转写（Devanagri Script）：信德语诗歌的天城文转写 11. 诗歌阐释（Explanation）：该诗歌的信德语解读 12. 英语译文（English Translation）：由Amar Fayaz Buriro翻译 13. 乌尔都语译文（Urdu Translation）：由Agha Saleem翻译 14. 旁遮普语译文（Punjabi Translation）：由Kartar Singh Arsh翻译 15. 关键词（Keywords）：用于便捷检索的优化搜索词 ## 应用场景 本数据集可广泛应用于多个领域，包括但不限于： 1. 信德语自然语言处理（Natural Language Processing, NLP）研究 2. 基于人工智能的信德语聊天机器人与对话智能体开发 3. 文学学习教育工具制作 4. 文本到语音（Text-to-Speech, TTS）系统训练 5. 诗歌分类与情感分析项目 6. 信德语文学遗产的数字化保存与推广 ## 数据来源 本数据集源自AMBILE Bhittaipedia项目。 ## 使用方法 可通过Python或Excel打开该文件，示例代码如下： import pandas as pd df = pd.read_csv("Bhittaipedia Risalo -(25-08-25).csv") print(df.head()) ## 许可协议 本数据集采用知识共享署名-非商业性使用4.0国际许可协议（Creative Commons Attribution-NonCommercial 4.0 License）发布，仅可用于教育与研究用途。 ## 致谢 特别感谢AMBILE团队在数据整理与清洗工作中的付出。 ## 联系方式 如有任何疑问、合作意向或贡献建议，请联系： 邮箱：[e-mail]