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# Dataset Card for Multilingual Sarcasm Detection |
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## Table of Contents |
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- [Dataset Description](#dataset-description) |
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- [Dataset Summary](#dataset-summary) |
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- [Languages](#languages) |
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- [Dataset Structure](#dataset-structure) |
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- [Data Instances](#data-instances) |
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- [Data Fields](#data-instances) |
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- [Dataset Creation](#dataset-creation) |
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- [Curation Rationale](#curation-rationale) |
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- [Source Data](#source-data) |
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## Dataset Description |
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- Repository: https://github.com/helinivan/multilingual-sarcasm-detector |
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### Dataset Summary |
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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. |
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The sources of news articles are: |
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- The Huffington Post (en, non-sarcastic) |
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- The Onion (en, sarcastic) |
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- NOS (nl, non-sarcastic) |
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- De Speld (nl, sarcastic) |
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- Il Giornale (it, non-sarcastic) |
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- Lercio (it, sarcastic) |
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### Languages |
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`en`, `nl`, `it` |
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## Dataset Structure |
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### Data Instances |
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- total_length: 67,480 |
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- sarcastic: 25,609 |
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- non_sarcastic: 41,817 |
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- english: 22,837 |
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- dutch: 20,771 |
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- italian: 23,871 |
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### Data Fields |
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- article_url: str |
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- article_title: str |
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- is_sarcastic: int |
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- lang: str |
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- title_length: int |
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## Dataset Creation |
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### Source Data |
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- Selected all English news article titles from this Kaggle dataset: https://www.kaggle.com/datasets/rmisra/news-headlines-dataset-for-sarcasm-detection |
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- Randomly selected 15k Dutch non-sarcastic news article titles from this Kaggle dataset: https://www.kaggle.com/datasets/maxscheijen/dutch-news-articles |
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Rest of the data is scraped directly from the newspapers. |