JAYASREESS/semantic_integrity

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.

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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.

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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

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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

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Data Source

The dataset was created from four structured documents (doc1, doc2, doc3, doc4).

Sentence pairs were extracted and manually annotated.

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Annotation Process

Annotation was performed manually based on semantic relationship guidelines.

Each sentence pair was reviewed and labeled into one of three categories.

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Intended Use

This dataset can be used for:

• Fine-tuning transformer models
• Semantic validation systems
• Document integrity checking
• NLP research on sentence-pair classification

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Limitations

• Limited dataset size
• Domain-specific content may reduce generalization
• Manual annotation may introduce bias

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Ethical Considerations

The dataset does not contain sensitive personal information.

It is intended for research and educational use only.