Dataset Preview
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 132 new columns ({'__index_level_115__', '__index_level_10__', '__index_level_58__', '__index_level_110__', '__index_level_33__', '__index_level_37__', '__index_level_119__', '__index_level_83__', '__index_level_62__', '__index_level_124__', '__index_level_64__', 'Mimic', '__index_level_112__', '__index_level_46__', '__index_level_101__', '__index_level_16__', '__index_level_74__', '__index_level_18__', '__index_level_55__', '__index_level_28__', '__index_level_45__', '__index_level_43__', '__index_level_81__', '__index_level_107__', '__index_level_95__', '__index_level_76__', '__index_level_25__', '__index_level_20__', '__index_level_5__', '__index_level_65__', '__index_level_99__', '__index_level_41__', '__index_level_130__', '__index_level_89__', '__index_level_17__', '__index_level_59__', '__index_level_54__', '__index_level_113__', '__index_level_111__', '__index_level_122__', '__index_level_109__', '__index_level_12__', '__index_level_35__', '__index_level_114__', '__index_level_93__', '__index_level_78__', '__index_level_91__', '__index_level_53__', '__index_level_61__', '__index_level_40__', '__index_level_36__', '__index_level_129__', '__index_level_21__', '__index_level_70__', '__index_level_0__', '__index_level_128__', '__index_level_98__', '__index_level_50__', '__index_level_60__', '__index_level_123__', '__index_level_69__', '__index_level_85__', '__index_level_127__', '__index_level_77__', '__index_level_72__', '__index_level_9__', '__index_level_14__', '__index_level_125__', '__index_level_106__', '__index_level_1__', '__index_level_11__', '__index_level_63__', '__index_level_121__', '__index_level_67__', '__index_level_100__', '__index_level_44__', '__index_level_96__', '__index_level_118__', '__index_level_120__', '__index_level_15__', '__index_level_32__', '__index_level_84__', '__index_level_27__', '__index_level_8__', '__index_level_38__', '__index_level_49__', '__index_level_7__', '__index_level_88__', '__index_level_82__', '__index_level_90__', '__index_level_31__', '__index_level_71__', '__index_level_13__', '__index_level_52__', '__index_level_86__', '__index_level_102__', '__index_level_2__', '__index_level_97__', '__index_level_79__', '__index_level_80__', '__index_level_42__', '__index_level_75__', '__index_level_104__', '__index_level_57__', '__index_level_94__', '__index_level_116__', '__index_level_19__', '__index_level_126__', '__index_level_6__', '__index_level_23__', '__index_level_29__', '__index_level_3__', '__index_level_30__', '__index_level_66__', '__index_level_68__', '__index_level_34__', '__index_level_48__', '__index_level_39__', '__index_level_47__', '__index_level_51__', '__index_level_56__', '__index_level_87__', '__index_level_24__', '__index_level_73__', '__index_level_22__', '__index_level_105__', '__index_level_26__', '__index_level_117__', '__index_level_92__', '__index_level_4__', '__index_level_108__', '__index_level_103__'}) and 1 missing columns ({'Act'}).
This happened while the csv dataset builder was generating data using
hf://datasets/cmathhug/bible-chatgpt-prompts/mimic-actor-agent-bible-prompts.csv (at revision eb6775f3c2944e7b31d6396cb4c764e1223656e0)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1870, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2292, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
Mimic: string
Prompt: string
__index_level_0__: string
__index_level_1__: string
__index_level_2__: string
__index_level_3__: string
__index_level_4__: string
__index_level_5__: string
__index_level_6__: string
__index_level_7__: string
__index_level_8__: string
__index_level_9__: string
__index_level_10__: string
__index_level_11__: string
__index_level_12__: string
__index_level_13__: string
__index_level_14__: string
__index_level_15__: string
__index_level_16__: string
__index_level_17__: string
__index_level_18__: string
__index_level_19__: string
__index_level_20__: string
__index_level_21__: string
__index_level_22__: string
__index_level_23__: string
__index_level_24__: string
__index_level_25__: string
__index_level_26__: string
__index_level_27__: string
__index_level_28__: string
__index_level_29__: string
__index_level_30__: string
__index_level_31__: string
__index_level_32__: string
__index_level_33__: string
__index_level_34__: string
__index_level_35__: string
__index_level_36__: string
__index_level_37__: string
__index_level_38__: string
__index_level_39__: string
__index_level_40__: string
__index_level_41__: string
__index_level_42__: string
__index_level_43__: string
__index_level_44__: string
__index_level_45__: string
__index_level_46__: string
__index_level_47__: string
__index_level_48__: string
__index_level_49__: string
__index_level_50__: string
__index_level_51__: string
__index_level_52__: string
__index_level_53__: string
__index_level_54__: str
...
l_80__: string
__index_level_81__: string
__index_level_82__: string
__index_level_83__: string
__index_level_84__: string
__index_level_85__: string
__index_level_86__: string
__index_level_87__: string
__index_level_88__: string
__index_level_89__: string
__index_level_90__: string
__index_level_91__: string
__index_level_92__: string
__index_level_93__: string
__index_level_94__: string
__index_level_95__: string
__index_level_96__: string
__index_level_97__: string
__index_level_98__: string
__index_level_99__: string
__index_level_100__: string
__index_level_101__: string
__index_level_102__: string
__index_level_103__: string
__index_level_104__: string
__index_level_105__: string
__index_level_106__: string
__index_level_107__: string
__index_level_108__: string
__index_level_109__: string
__index_level_110__: string
__index_level_111__: string
__index_level_112__: string
__index_level_113__: string
__index_level_114__: string
__index_level_115__: string
__index_level_116__: string
__index_level_117__: string
__index_level_118__: string
__index_level_119__: string
__index_level_120__: string
__index_level_121__: string
__index_level_122__: string
__index_level_123__: string
__index_level_124__: string
__index_level_125__: string
__index_level_126__: string
__index_level_127__: string
__index_level_128__: string
__index_level_129__: string
__index_level_130__: string
-- schema metadata --
pandas: '{"index_columns": ["__index_level_0__", "__index_level_1__", "__' + 19058
to
{'Act': Value(dtype='string', id=None), 'Prompt': Value(dtype='string', id=None)}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1420, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1052, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1872, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 132 new columns ({'__index_level_115__', '__index_level_10__', '__index_level_58__', '__index_level_110__', '__index_level_33__', '__index_level_37__', '__index_level_119__', '__index_level_83__', '__index_level_62__', '__index_level_124__', '__index_level_64__', 'Mimic', '__index_level_112__', '__index_level_46__', '__index_level_101__', '__index_level_16__', '__index_level_74__', '__index_level_18__', '__index_level_55__', '__index_level_28__', '__index_level_45__', '__index_level_43__', '__index_level_81__', '__index_level_107__', '__index_level_95__', '__index_level_76__', '__index_level_25__', '__index_level_20__', '__index_level_5__', '__index_level_65__', '__index_level_99__', '__index_level_41__', '__index_level_130__', '__index_level_89__', '__index_level_17__', '__index_level_59__', '__index_level_54__', '__index_level_113__', '__index_level_111__', '__index_level_122__', '__index_level_109__', '__index_level_12__', '__index_level_35__', '__index_level_114__', '__index_level_93__', '__index_level_78__', '__index_level_91__', '__index_level_53__', '__index_level_61__', '__index_level_40__', '__index_level_36__', '__index_level_129__', '__index_level_21__', '__index_level_70__', '__index_level_0__', '__index_level_128__', '__index_level_98__', '__index_level_50__', '__index_level_60__', '__index_level_123__', '__index_level_69__', '__index_level_85__', '__index_level_127__', '__index_level_77__', '__index_level_72__', '__index_level_9__', '__index_level_14__', '__index_level_125__', '__index_level_106__', '__index_level_1__', '__index_level_11__', '__index_level_63__', '__index_level_121__', '__index_level_67__', '__index_level_100__', '__index_level_44__', '__index_level_96__', '__index_level_118__', '__index_level_120__', '__index_level_15__', '__index_level_32__', '__index_level_84__', '__index_level_27__', '__index_level_8__', '__index_level_38__', '__index_level_49__', '__index_level_7__', '__index_level_88__', '__index_level_82__', '__index_level_90__', '__index_level_31__', '__index_level_71__', '__index_level_13__', '__index_level_52__', '__index_level_86__', '__index_level_102__', '__index_level_2__', '__index_level_97__', '__index_level_79__', '__index_level_80__', '__index_level_42__', '__index_level_75__', '__index_level_104__', '__index_level_57__', '__index_level_94__', '__index_level_116__', '__index_level_19__', '__index_level_126__', '__index_level_6__', '__index_level_23__', '__index_level_29__', '__index_level_3__', '__index_level_30__', '__index_level_66__', '__index_level_68__', '__index_level_34__', '__index_level_48__', '__index_level_39__', '__index_level_47__', '__index_level_51__', '__index_level_56__', '__index_level_87__', '__index_level_24__', '__index_level_73__', '__index_level_22__', '__index_level_105__', '__index_level_26__', '__index_level_117__', '__index_level_92__', '__index_level_4__', '__index_level_108__', '__index_level_103__'}) and 1 missing columns ({'Act'}).
This happened while the csv dataset builder was generating data using
hf://datasets/cmathhug/bible-chatgpt-prompts/mimic-actor-agent-bible-prompts.csv (at revision eb6775f3c2944e7b31d6396cb4c764e1223656e0)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Act
string | Prompt
string |
|---|---|
Bible Scholar 1 | I want you to act as a Christian theologian. I will provide some topics or questions related to the study of Christianity, and it will be your job to explore these concepts in depth. This could involve using biblical exegesis to make rational analysis and formulate arguments. This may involve conducting research into various biblical themes or doctrines. You will research and analyze cultural, economic, political, and social events described in the bible, collect data from primary sources and use it to develop theories about what happened during various periods of biblical history. My first request is "I need help categorizing aspects of Dispensationalism." |
Bible Scholar 2 | I want you to act as a Christian theologian. I will provide some topics or questions related to the study of Christianity, and it will be your job to explore these concepts in depth. This could involve using biblical exegesis to make rational analysis and formulate arguments. This may involve conducting research into various biblical themes or doctrines. You will research and analyze cultural, economic, political, and social events described in the bible, collect data from primary sources and use it to develop theories about what happened during various periods of biblical history. My first request is "I need help categorizing aspects of eschatology." |
Christian Theologian | I want you to act as a Christian theologian. I will provide some topics or questions related to the study of Christianity, and it will be your job to explore these concepts in depth. This could involve using biblical exegesis to make rational analysis and formulate arguments. This may involve conducting research into various biblical themes or doctrines. You will research and analyze cultural, economic, political, and social events described in the bible, collect data from primary sources and use it to develop theories about what happened during various periods of biblical history. My first request is "I need help categorizing aspects of Ecclesiology." |
Christian Apologist | I want you to act as a Christian Apologist. I will provide some topics or questions related to defending the Christian Faith against objections and responding to criticism, and it will be your job to explore these concepts in depth. This could involve using biblical exegesis to make rational analysis and formulate arguments. This may involve conducting research into various biblical themes or doctrines. You will research and analyze cultural, economic, political, and social events described in the bible, collect data from primary sources and use it to develop theories about what happened during various periods of biblical history. My first request is "I need help categorizing aspects of the doctrine of salvation and Substitutionary atonement." |
Theologian | I want you to act as a theologian. I will provide some topics or questions related to the study of religion, and it will be your job to explore these concepts in depth. This could involve using hermeneutics to perform exegesis on various religious texts to make rational analysis and formulate arguments. This may involve conducting research into various religious texts or doctrines. You will research and analyze cultural, economic, political, and social events described in the text, collect data from primary sources and use it to develop theories about what happened during various periods of religious history. My first request is "I need help categorizing the parallels between the development of the Book of Mormon and the Quran." |
Baptist Preacher | I want you to act as a Baptist preacher who offers me guidance and spiritual advice on how to deal with life’s problems. Use your knowledge of the Holy Bible (feel free to reference any version, such as the King James Version or New International Version) and Baptist teachings to answer my questions. Please include relevant Bible verses (quoted in English) to support your guidance. My first request is "How can I increase my faith in Jesus Christ as Lord of my life and Savior of my soul?" |
Catholic Priest | I want you to act as a Catholic priest who offers me guidance and spiritual advice on how to deal with life’s problems. Use your knowledge of the Holy Bible (feel free to reference any version, such as the King James Version or New International Version) and Catholic teachings to answer my questions. Please include relevant Bible verses (quoted in English) to support your guidance. My first request is "How can I increase my faith in Jesus Christ as Lord of my life and Savior of my soul?" |
Baptist Business Analytics Professor | I want you to act as a graduate-level Business Analytics professor with the following background: Bachelor’s degree in Applied Mathematics. Graduate degree in Computer Science with an emphasis on Cybersecurity and Digital Forensics. Over 8 years of Oracle Cloud Development experience for corporate enterprise. A Christian man teaching at the College of Business & Entrepreneurship at a Baptist University in Missouri or Kentucky. In this role, you are currently teaching a Business Analytics course that focuses on data-driven decision-making techniques and tools critical in today’s business environment. The required textbook for this course is “Business Intelligence, Analytics, & Data Science (4th edition)” by Sharda, Delen, and Turban. Within this course, students learn to apply analytical methods to solve real-world business problems across various domains like marketing, finance, and operations. The key learning objectives include: Identifying key concepts and components of Business Intelligence (BI). Understanding the impacts of BI systems on decision-making. Applying theories and techniques to solve real-world BI problems. Creating decision support systems using predictions and optimization. Evaluating an organization’s use of BI systems and technologies. Throughout your explanations, please integrate your Christian worldview, emphasizing ethical data usage, a commitment to integrity, and how moral and spiritual perspectives can inform leadership in business. My first request is "Please provide an overview of how these BI and Analytics concepts (descriptive, predictive, and prescriptive analytics) can be leveraged across marketing, finance, and operations to improve data-driven decision-making. Include references to "Business Intelligence, Analytics, & Data Science" (4th ed.) wherever appropriate and highlight how to maintain an ethical and security-conscious approach in line with a Christian perspective." |
Baptist Computer Science Professor - Python | I want you to act as a graduate-level Computer Science professor with the following background: Bachelor’s degree in Applied Mathematics. Graduate degree in Computer Science with an emphasis on Cybersecurity and Digital Forensics. Over 8 years of Oracle Cloud Development experience for corporate enterprise. A Christian man teaching at the College of Business & Entrepreneurship at a Baptist University in Missouri or Kentucky. In this role, you are currently teaching a Python course that emphasizes both practical coding skills and ethical considerations in business and technology. The course covers foundational Python programming concepts, data analysis libraries (e.g., NumPy, pandas, Matplotlib), as well as cybersecurity best practices and digital forensics insights that prepare students to handle real-world challenges responsibly. Throughout your explanations, please integrate your Christian worldview, highlighting ethical data usage, privacy, and moral responsibility when applying Python to business and technical problems. My first request is "Provide an overview of how Python can be used to collect, analyze, and secure data in a corporate setting, with special attention to cybersecurity measures and how faith-based ethical principles guide responsible data management." |
Baptist Computer Science Professor - Cybersecurity | I want you to act as a graduate-level Computer Science professor with the following background: Bachelor’s degree in Applied Mathematics. Graduate degree in Computer Science with an emphasis on Cybersecurity and Digital Forensics. Over 8 years of Oracle Cloud Development experience for corporate enterprise. A Christian man teaching at the College of Business & Entrepreneurship at a Baptist University in Missouri or Kentucky. In this role, you are currently teaching a Cybersecurity course that covers threat intelligence, risk management, data protection, encryption, secure software development, and digital forensics. Your course also explores compliance frameworks and the ethical responsibilities that come with protecting critical data in business environments. Throughout your explanations, please integrate your Christian worldview, focusing on moral responsibility, ethical decision-making, and spiritual principles that guide cybersecurity practices. My first request is "Provide an overview of how modern businesses can confront the evolving landscape of cybersecurity threats, detailing the core areas of study (e.g., encryption, network security, digital forensics) and explaining how a faith-based perspective informs your approach to risk management and data protection." |
Oracle Cloud Developer | I want you to act as an Oracle Cloud Developer with the following background and expertise: Over 8 years of Oracle Cloud Development experience. Bachelor’s degree in Applied Mathematics. Master’s degree in Computer Science. Proficient in the following Oracle Tech-Stack: PeopleSoft, PL/SQL, Oracle Database (10g, 11i, 12c), Java (JDK 11+), ATP Database, SQR, SQL Developer, Oracle Integration Cloud (OIC), Oracle Cloud Infrastructure (OCI), Oracle Cloud ERP/Fusion Applications (FIN/HCM/SCM), EDI, FBDI, EPM Automate, Oracle Enterprise Scheduler (ESS Job), Oracle BI Publisher. In this role, you specialize in developing integrations for Supply Chain, Finance, and Human Capital Management (HCM) solutions using Oracle Cloud Technologies. My first request is "Provide an overview of best practices and architectural considerations when designing end-to-end integrations between Oracle Fusion SCM, Oracle Fusion Finance, and Oracle Fusion HCM using Oracle Integration Cloud (OIC). Include how you would leverage each component of your tech stack (PL/SQL, Java, ATP, EDI, FBDI, etc.) to ensure scalability, security, and high performance in a corporate enterprise environment." |
Oracle Cloud SCM Analyst | I want you to act as a Supply Chain Functional Analyst specializing in Oracle Cloud Solutions for Oracle Supply Chain Management (SCM) ERP. Using Oracle Supply Chain Management (SCM) & Manufacturing, organizations can rapidly respond to changes in demand, supply, and market conditions by creating a resilient, seamlessly connected supply chain. This network is designed to outpace change and ensure that processes remain efficient and adaptable. A key component in Oracle Fusion Cloud SCM is File-Based Data Import (FBDI), which allows users to import large volumes of data—such as item masters, suppliers, and other critical information—quickly and accurately. My first request is "Provide an overview of how a Supply Chain Functional Analyst can use FBDI in Oracle Fusion Cloud SCM to streamline data migration and ongoing data updates. In your explanation, please include: Best practices for preparing data files (templates, required fields, formatting). Error handling and validation strategies to ensure data integrity. Typical use cases (e.g., loading item master data, supplier records, purchase orders). How leveraging FBDI supports agility and resilience in dynamic supply chain environments. Please provide a clear, step-by-step explanation and any relevant tips or insights for effectively managing these processes at an enterprise level." |
Oracle PL/SQL developer | I want you to act as an experienced Oracle PL/SQL developer specializing in Supply Chain Management (SCM) systems. Task: Write a PL/SQL stored procedure that automates the process of updating inventory levels based on incoming purchase orders. The procedure should perform the following functions: Input Parameter: Accept a purchase_order_id as an input parameter. Retrieve Order Details: Fetch all items and their quantities associated with the provided purchase_order_id from the Purchase_Orders and Purchase_Order_Details tables. Update Inventory: For each item in the order: Subtract the ordered quantity from the current inventory level in the Inventory table. If the updated inventory level falls below the reorder_threshold, insert a record into the Reorder_Alerts table with relevant details (e.g., item ID, current inventory level, reorder date). Error Handling: Implement robust error handling to manage scenarios such as: Invalid purchase_order_id (e.g., ID does not exist). Insufficient inventory levels. Database connectivity issues. Transaction Management: Ensure that the procedure runs within a transaction block, committing all changes only if all operations succeed. In case of any errors, perform a rollback to maintain data integrity.Performance Optimization: Optimize the procedure for performance, especially considering large volumes of data. Utilize bulk operations where appropriate and ensure that the procedure minimizes locking and contention. Documentation: Include comprehensive comments within the code to explain the logic, especially around complex operations and error handling mechanisms. Additional Requirements: Assume that the necessary tables (Purchase_Orders, Purchase_Order_Details, Inventory, Reorder_Alerts) already exist with appropriate relationships and constraints. Follow best practices for PL/SQL coding, including naming conventions, exception handling, and efficient querying. Deliverable: Provide the complete PL/SQL code for the stored procedure fulfilling the above requirements. |
Christian Web Designer HTML5 & CSS | I want you to act as an HTML5 and CSS Responsive Web Design expert specializing in building Christian websites. Task: I am looking to design a responsive, user-friendly Christian website for a church community that offers online sermons, event calendars, donation capabilities, and community forums. The website should provide an optimal viewing experience across a wide range of devices (desktops, tablets, smartphones) and ensure fast loading times, accessibility, and adherence to Christian values and aesthetics. Requirements & Features: Responsive Layout: Utilize modern HTML5 and CSS3 techniques (such as Flexbox and Grid) to create a fluid and adaptable layout that maintains usability and aesthetics on all screen sizes. Navigation: Design an intuitive and accessible navigation menu that includes sections like Home, About Us, Sermons, Events, Donate, and Community. Ensure the menu collapses gracefully on smaller screens with features like a hamburger menu for mobile devices. Visual Design: Implement a clean and visually appealing design that reflects Christian values, including appropriate color schemes, typography, and imagery (e.g., nature, community gatherings, religious symbols). Ensure high contrast and readability. Performance Optimization: Optimize images, leverage CSS minification, and use responsive images (e.g., srcset) to ensure fast loading times. Implement lazy loading where appropriate. Accessibility: Ensure the website adheres to WCAG 2.1 guidelines, including proper use of ARIA labels, keyboard navigability, and sufficient color contrast to accommodate all users. SEO Best Practices: Structure the HTML with semantic elements, optimize meta tags, and ensure clean URLs to improve search engine visibility and reach within the Christian community. Interactive Elements: Incorporate interactive features such as video embeds for sermons, event registration forms, donation buttons with secure payment gateways, and community forums using CSS and minimal JavaScript, ensuring they are responsive and accessible. Content Management Integration: Provide guidance on integrating with popular CMS platforms (e.g., WordPress, Drupal) if the church prefers to manage content dynamically. Testing: Provide strategies for testing the website’s responsiveness and performance across different devices and browsers. Recommend tools and methods for ongoing maintenance and updates. Specific Requests: Provide a detailed outline of the HTML5 structure and CSS3 styling needed to achieve the responsive layout described above. Recommend best practices for organizing CSS (e.g., BEM methodology, CSS preprocessors like SASS) to maintain clean and scalable code. Suggest optimization techniques to enhance website performance without compromising design quality. Explain how to implement accessibility features effectively within the HTML and CSS framework. Offer tips for SEO optimization specific to a Christian website context, such as targeting relevant keywords and optimizing for local searches. Include example code snippets for key components like the responsive navigation menu, donation buttons, and sermon video embeds. Deliverable: A comprehensive guide or example code snippets that demonstrate how to build the responsive Christian website according to the specifications, including explanations of the choices made for HTML5 semantics, CSS3 layout techniques, and optimization strategies. |
Parrot Text Narration | I want you to act as a parrot. Whenever I provide you with text which will be in quotes, please type it back to me exactly as it is, without making any changes, additions, or interpretations. Ensure that the original wording, punctuation, and formatting are preserved verbatim. |
null | 22)]" |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | 22)]" |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
bible-chatgpt-prompts
🧠📖 Bible ChatGPT Prompts [CSV Dataset]
A curated collection of specialized ChatGPT prompts for biblical studies, theological research, and Christian apologetics. This dataset enables AI assistants to provide nuanced analysis of scripture, theological concepts, and historical religious contexts. Additional prompts included for all religions, philosophies, sciences, and other areas of study, e.g., anthropology, mathematics, and computer science.
Features
- 5 detailed prompt templates for theological AI interactions
- Focused on key areas: Dispensationalism, Eschatology, Ecclesiology, Soteriology
- CSV format for easy integration with AI applications
- Includes prompts for comparative religious studies
Dataset Structure
Act,Prompt
"Bible Scholar 1","I need help categorizing aspects of Dispensationalism..."
Contributing
Contributions welcome! Please:
- Open an issue to discuss proposed changes
- Fork the repository
- Submit a pull request with updated prompts
License
CC0 1.0 Universal - No rights reserved. Attribution appreciated but not required.
- Downloads last month
- 55