helinivan/sarcasm_headlines_multilingual

Dataset Card for Multilingual Sarcasm Detection

Table of Contents

• —Dataset Description
• —Dataset Summary
• —Languages
• —Dataset Structure
• —Data Instances
• —Data Fields
• —Dataset Creation
• —Curation Rationale
• —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.