Dataset Card for Multilingual Sarcasm Detection
Table of Contents
Dataset Description
Dataset Summary
Dataset consists of news article headlines in Dutch, English and Italian. The news article headlines are both from actual news sources and sarcastic/satirical newspapers. The news article is determined sarcastic/non-sarcastic based on the news article source.
The sources of news articles are:
- The Huffington Post (en, non-sarcastic)
- The Onion (en, sarcastic)
- NOS (nl, non-sarcastic)
- De Speld (nl, sarcastic)
- Il Giornale (it, non-sarcastic)
- Lercio (it, sarcastic)
Languages
en, nl, it
Dataset Structure
Data Instances
- total_length: 67,480
- sarcastic: 25,609
- non_sarcastic: 41,817
- english: 22,837
- dutch: 20,771
- italian: 23,871
Data Fields
- article_url: str
- article_title: str
- is_sarcastic: int
- lang: str
- title_length: int
Dataset Creation
Source Data
- Selected all English news article titles from this Kaggle dataset: https://www.kaggle.com/datasets/rmisra/news-headlines-dataset-for-sarcasm-detection
- Randomly selected 15k Dutch non-sarcastic news article titles from this Kaggle dataset: https://www.kaggle.com/datasets/maxscheijen/dutch-news-articles
Rest of the data is scraped directly from the newspapers.