language:
- en
- nl
- it
license: mit
datasets:
- PolySarc
PolySarc Dataset: Multilingual Sarcasm Detection Corpus
Overview
PolySarc is a multilingual sarcasm detection dataset that contains labeled sentences in English, German, Italian, Dutch, and Hinglish.
It is designed for training and evaluating sarcasm detection models across multiple languages, making it a valuable resource for cross-lingual NLP research.
The dataset includes three key columns:
sentence: The textual content of the sentence.label: Binary sarcasm label (0= Non-Sarcastic,1= Sarcastic).language: Language code corresponding to the sentence.
Dataset Statistics
Language Distribution
The dataset contains 79,428 sentences distributed across four languages:
| Language | Total Sentences |
|---|---|
| 🇮🇹 Italian (it) | 23,871 |
| 🇬🇧 English (en) | 22,837 |
| 🇳🇱 Dutch (nl) | 20,771 |
| 🇮🇳 Hinglish (hi-en) | 11,949 |
Label Distribution
The dataset is imbalanced, with more non-sarcastic sentences than sarcastic ones:
| Label | Meaning | Count |
|---|---|---|
| 0 | Non-Sarcastic | 45,921 |
| 1 | Sarcastic | 33,507 |
- 57.8% of sentences are non-sarcastic.
- 42.2% of sentences are sarcastic, making it a substantial dataset for sarcasm detection.
Why PolySarc?
✅ Multilingual: Covers multiple languages, allowing cross-lingual sarcasm analysis.
✅ Balanced Representation: While slightly imbalanced, it still contains a significant number of sarcastic sentences.
✅ Real-World Applications: Useful for social media analysis, sentiment analysis, and humor detection in NLP.
This dataset provides a challenging yet valuable benchmark for sarcasm detection models across different linguistic structures.