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README.md

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----
-license: apache-2.0
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+---
+license: apache-2.0
+---
+# Semantic Integrity Analysis Dataset
+
+## Overview
+
+This dataset is designed for detecting semantic integrity violations between sentence pairs.
+
+Each data instance contains two sentences and a label indicating the semantic relationship between them.
+
+The dataset supports multi-class text pair classification.
+
+---
+
+## Task Description
+
+Given two sentences (sentence1 and sentence2), the model must classify the relationship as:
+
+- 0 → Contradiction
+- 1 → Inconsistency
+- 2 → Duplication
+
+This task is similar to Natural Language Inference (NLI), but focuses on semantic validation within structured documents.
+
+---
+
+## Dataset Structure
+
+Each row contains:
+
+- sentence1 (string)
+- sentence2 (string)
+- label (integer)
+
+Example:
+
+sentence1: "The report was submitted in 2022."
+sentence2: "The report was submitted in 2023."
+label: 1
+
+---
+
+## Label Description
+
+| Label | Category        | Meaning |
+|-------|-----------------|---------|
+| 0     | Contradiction   | Opposite meaning between sentences |
+| 1     | Inconsistency   | Conflicting details or mismatched facts |
+| 2     | Duplication     | Same or nearly same meaning |
+
+---
+
+## Data Source
+
+The dataset was created from four structured documents (doc1, doc2, doc3, doc4).
+
+Sentence pairs were extracted and manually annotated.
+
+---
+
+## Annotation Process
+
+Annotation was performed manually based on semantic relationship guidelines.
+
+Each sentence pair was reviewed and labeled into one of three categories.
+
+---
+
+## Intended Use
+
+This dataset can be used for:
+
+- Fine-tuning transformer models
+- Semantic validation systems
+- Document integrity checking
+- NLP research on sentence-pair classification
+
+---
+
+## Limitations
+
+- Limited dataset size
+- Domain-specific content may reduce generalization
+- Manual annotation may introduce bias
+
+---
+
+## Ethical Considerations
+
+The dataset does not contain sensitive personal information.
+
+It is intended for research and educational use only.