Hugging Face's logo

Datasets:
bnabin
/
nepalimetaphorcorpus

Tasks:
Text Classification
Modalities:
Text
Formats:
csv
Languages:
Nepali
Size:
1K - 10K
Tags:
metaphor
figurative
nepali
rupak
simile
Libraries:
Datasets
pandas
License:
Dataset card Data Studio Files Community
1
nepalimetaphorcorpus / README.md
bnabin's picture
bnabin
Update README.md
4a046cc verified
preview code
|
raw
history blame
4.08 kB
metadata
license: mit
task_categories:
  - text-classification
language:
  - ne
tags:
  - metaphor
  - figurative
  - nepali
  - rupak
  - simile
pretty_name: Rupak by Nabin
size_categories:
  - 1K<n<10K

Nepali Metaphor Detection Dataset

Here metaphor includes all kind of figurative speech that can be interpreted diferrently while reading literal and mean differently in meaning. The AarthaAlankaars like Simile,oxymoron, paradox, juxtaposition, personification, proverbs and idioms/phrases are included as a metaphor and thus annotated as metaphor. The classification of these subtypes is not done in dataset.

Dataset Card

Dataset Summary

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.

  • Language: Nepali
  • Task: Sentence-level metaphor detection (binary classification)
  • Total Sentences: [4502]
  • Total Metaphorical: [1335]
  • Total Literal: [3057]
  • Validation Set: [110]
  • Labels:
    • 0: Literal
    • 1: Metaphorical

Motivation

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:

  • Enable fine-tuning and benchmarking of language models for figurative tasks.
  • Encourage exploration of metaphorical nuances in Nepali culture and literature.

Dataset Structure

Each sample contains:

  • Sentence: Sentence in Nepali.
  • label: 0 (Literal) or 1 (Metaphorical)

Example:

{"text": "सूर्यले पर्वतपछाडि आफ्नो मुख लुकाए पनि तिनको लाली कालो पहाडका टुप्पाहरूमा फैलिँदै थियो। ", "label": 1}

Data Splits

Recommended Split:

  • Training set: 60%
  • Validation set: 20%
  • Test set: 20%

Stratified sampling ensures class balance across splits.

Statistics Overview

  • Class Distribution:
    • Literal: [3057,69.60%]
    • Metaphorical: [1335,30.39%]
  • Avg. Sentence Length: [7.86] words
  • Vocabulary Size: [12246] words
  • Longest sentence: [37 words]
{"text": "जसरी खोलामा बाढी आउनु भन्दा अघि खोलाछेउको आफ्नो घरको पर्खाललाई मजबुत बनाइयो भने बाढी आउने डरबाट सुरक्षित भइ व्यक्ति अविरल झरीको रातमा पनि आनन्दको निद्रा लिन्छ, त्यस्तै गरी भयानक दुखको परिस्थितिमा पनि यस्तो साधकले धैर्य नहारेको हुन्छ।"}
  • Shortest sentence: [1 words]
    {"text": "चन्द्रमुखी"}, {"text": "अर्धाङ्गिनी"}, {"text": "मृगनयनी"}

Annotation Process

  • Annotators: Nabin Bhusal,Manoj Bhandari and Sudesh Satyal. [Manually Annotated using webapp https://meta4app.web.app/]
  • Guidelines: Based on literary, cultural, and linguistic cues in Nepali Grammar.
  • Quality Control: Dual annotation with consensus resolution.

Licensing

  • MIT
  • Attribution Required: Yes / No

Citation

If you use this dataset, please cite:

@dataset{rupakbynabin,
  title={Nepali Sentence-level Metaphor Detection Dataset},
  author={Nabin Bhusal},
  year={2025},
  url={https://huggingface.co/datasets/bnabin/nepalimetaphorcorpus/}
}

Ethical Considerations

  • Ensure that sentences do not propagate bias or harmful stereotypes.
  • Acknowledge limitations.
  • Dataset is intended for research and educational purposes.

Contact