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    <dc:creator>Ali, Wazir</dc:creator>
    <dc:title>SiNFLuD</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>The SiNFLuD is a human-labelled dataset developed to support research for the classification of figurative and literal language for low-resourceSindhi language. The dataset includes a diverse collection of idioms, metaphors, smilies, and proverbs collected from various web resources, representing culturally rich and context-dependent expressions. It is designed to enable computational models to move beyond literal meaning and capture deeper semantic and cultural interpretations in Sindhi text. This dataset is intended for training and evaluating NLP models for tasks such as figurative language classification, and semantic analysis. By providing structured annotations of idiomatic and metaphorical expressions, it helps bridge the resource gap in Sindhi language processing and supports the development of more culturally aware language technologies.</dc:description>
    <dc:subject>Artificial Intelligence</dc:subject>
    <dc:subject>Text Extraction</dc:subject>
    <dc:contributor>Noor, Adeeb</dc:contributor>
    <dc:contributor>Tumrani, Saifullah</dc:contributor>
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    <dc:identifier>oai:data.mendeley.com/9jgx2cvpry.1</dc:identifier>
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