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README.md
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license: mit
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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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## Dataset Card
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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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- **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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### 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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- 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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### 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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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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### 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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Stratified sampling ensures class balance across splits.
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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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### 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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### 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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### Citation
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If you use this dataset, please cite:
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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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### 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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### Contact
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- Maintainer: [Your Name]
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- Email: [[email protected]]
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---
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\u2764\ufe0f Good luck for your thesis and dataset release!
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