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README.md

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+# Dataset Card for Kris-BibleN
+
+<!-- Provide a quick summary of the dataset. -->
+
+Kris-BibleN is a structured dataset of the Bible text in English, organized by book, chapter, verse, and full verse text. It is designed for NLP research, textual analysis, language modeling, and AI applications that require structured religious text data.
+
+## Dataset Details
+
+### Dataset Description
+
+Kris-BibleN contains the full text of the Bible, with each entry including a unique citation identifier. It is suitable for language modeling, computational religious studies, and semantic analysis.
+
+- **Curated by:** Christopher Chibuikem
+- **Funded by [optional]:** None
+- **Shared by [optional]:** Christopher Chibuikem
+- **Language(s) (NLP):** English
+- **License:** Creative Commons Attribution 4.0 International (CC BY 4.0) *(update if needed)*
+
+### Dataset Sources [optional]
+
+- **Repository:** [Not yet published]
+- **Paper [optional]:** None
+- **Demo [optional]:** None
+
+## Uses
+
+### Direct Use
+
+- Training NLP models on structured religious text
+- Text generation and verse retrieval
+- Semantic analysis and topic modeling
+- AI applications for scripture-based assistants
+
+### Out-of-Scope Use
+
+- Misuse to generate misinformation or offensive content
+- Applications requiring modern legal, medical, or financial advice
+- Any use that misrepresents the original Bible text
+
+## Dataset Structure
+
+Each row in the dataset has the following fields:
+
+| Field       | Description |
+|------------|-------------|
+| `citation` | Unique reference in the format `Book Chapter:Verse` |
+| `book`     | Name of the book (e.g., Genesis) |
+| `chapter`  | Chapter number |
+| `verse`    | Verse number |
+| `text`     | Full verse text in English |
+
+The dataset is provided as CSV and can be converted to JSON or Parquet for NLP pipelines.
+
+## Dataset Creation
+
+### Curation Rationale
+
+The dataset was created to provide a **high-quality, structured Bible corpus** for computational and AI applications. It allows researchers and developers to train models on organized scripture data.
+
+### Source Data
+
+- Derived from publicly available Bible text sources
+- Processed to ensure consistent formatting of chapters, verses, and citation identifiers
+
+#### Data Collection and Processing
+
+- Standardized verse formatting
+- Cleaned line breaks and whitespace
+- Ensured consistent citation identifiers for each verse
+
+#### Who are the source data producers?
+
+The data was curated by Christopher Chibuikem from public domain Bible texts.
+
+### Annotations [optional]
+
+#### Annotation process
+
+Verses were formatted and checked for consistency. No external annotators were involved.
+
+#### Who are the annotators?
+
+Christopher Chibuikem
+
+#### Personal and Sensitive Information
+
+The dataset contains no personal or sensitive information.
+
+## Bias, Risks, and Limitations
+
+- Text reflects traditional English Bible translations; interpretations are translation-specific
+- Models trained on this dataset inherit the language and style of the original translation
+- Not suitable for applications requiring multiple translations or paraphrased content
+
+### Recommendations
+
+- Use responsibly for AI applications involving religious texts
+- Consider adding multiple translations for broader linguistic coverage
+
+## Citation [optional]
+
+**BibTeX:**
+
+```bibtex
+@misc{krisbiblen2025,
+  title={Kris-BibleN},
+  author={Christopher Chibuike},
+  year={2025},
+  howpublished={\url{https://huggingface.co/datasets/kris-biblen}}
+}