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# Dataset Card for Multilingual Sarcasm Detection
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-instances)
- [Dataset Creation](#dataset-creation)
- [Curation Rationale](#curation-rationale)
- [Source Data](#source-data)
## Dataset Description
- Repository: https://github.com/helinivan/multilingual-sarcasm-detector
### 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. |