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- ---
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- license: mit
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: mit
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+ ---
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+ # Nepali Metaphor Detection Dataset
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+
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+ ---
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+
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+ ## Dataset Card
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+
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+ ### Dataset Summary
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+ This dataset consists of Nepali-language sentences annotated with **literal** and **metaphorical** labels. It aims to foster research in figurative language understanding, metaphor detection, and linguistic creativity modeling for low-resource languages like Nepali.
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+
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+ - **Language**: Nepali (\u0928\u0947\u092a\u093e\u0932\u0940)
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+ - **Task**: Sentence-level metaphor detection (binary classification)
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+ - **Total Sentences**: [Fill exact number here]
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+ - **Labels**:
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+ - `0`: Literal
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+ - `1`: Metaphorical
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+
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+
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+ ### Motivation
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+ Existing datasets for metaphor detection predominantly focus on English and other resource-rich languages. Nepali, being a morphologically rich, under-resourced language, lacks such curated resources. This dataset addresses this gap to:
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+
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+ - Enable fine-tuning and benchmarking of language models for figurative tasks.
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+ - Encourage exploration of metaphorical nuances in Nepali culture and literature.
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+
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+
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+ ### Dataset Structure
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+ Each sample contains:
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+ - `text`: Sentence in Nepali.
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+ - `label`: 0 (Literal) or 1 (Metaphorical)
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+
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+ Example:
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+ ```json
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+ {"text": "\u0924\u0940\u0916\u094b \u0932\u0940\u0915 \u091c\u0938\u094d\u0924\u094b \u092e\u093e\u0928\u0947 \u091d\u0928\u094d\u091d\u0932\u094d\u091b \u0915\u0940 \u0915\u094b \u091d\u093e\u0928\u0947.", "label": 1}
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+ ```
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+
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+
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+ ### Data Splits
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+ Recommended Split:
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+ - **Training set**: 70%
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+ - **Validation set**: 15%
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+ - **Test set**: 15%
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+
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+ Stratified sampling ensures class balance across splits.
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+
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+
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+ ### Statistics Overview
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+ - Class Distribution:
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+ - Literal: [fill %]
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+ - Metaphorical: [fill %]
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+ - Avg. Sentence Length: [fill value] words
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+ - Vocabulary Size: [fill value] words
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+ - Longest sentence: [fill words]
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+ - Shortest sentence: [fill words]
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+
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+
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+ ### Annotation Process
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+ - Annotators: [state if manually annotated or semi-automated]
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+ - Guidelines: Based on literary, cultural, and linguistic cues in Nepali.
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+ - Quality Control: Dual annotation with consensus resolution.
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+
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+
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+ ### Licensing
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+ - [Choose one: CC BY 4.0 / CC0 / Research Only License]
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+ - Attribution Required: Yes / No
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+
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+
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+ ### Citation
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+ If you use this dataset, please cite:
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+
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+ ```
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+ @dataset{your_name_2025_nepali_metaphor,
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+ title={Nepali Sentence-level Metaphor Detection Dataset},
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+ author={Your Name},
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+ year={2025},
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+ url={Link to repository or HuggingFace}
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+ }
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+ ```
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+
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+
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+ ### Ethical Considerations
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+ - Ensure that sentences do not propagate bias or harmful stereotypes.
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+ - Acknowledge limitations due to cultural specificity.
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+ - Dataset is intended for research and educational purposes.
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+
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+
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+ ### Contact
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+ - Maintainer: [Your Name]
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+ - Email: [[email protected]]
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+
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+ ---
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+
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+ \u2764\ufe0f Good luck for your thesis and dataset release!
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+