| size_categories: | |
| - 100<n | |
| source_datasets: | |
| - original | |
| - https://www.kaggle.com/datasets/rmisra/news-headlines-dataset-for-sarcasm-detection | |
| - https://www.kaggle.com/datasets/maxscheijen/dutch-news-articles | |
| languages: | |
| - en | |
| - it | |
| - nl | |
| multilinguality: | |
| - multilingual | |
| task_categories: | |
| - text_classification | |
| # Dataset Card for sarcasm_headlines_multilingual | |
| ## Table of Contents | |
| - [Dataset Description](#dataset-description) | |
| - [Dataset Summary](#dataset-summary) | |
| - [Supported Tasks](#supported-tasks-and-leaderboards) | |
| - [Languages](#languages) | |
| - [Dataset Structure](#dataset-structure) | |
| - [Data Instances](#data-instances) | |
| - [Data Fields](#data-instances) | |
| - [Data Splits](#data-instances) | |
| - [Dataset Creation](#dataset-creation) | |
| - [Curation Rationale](#curation-rationale) | |
| - [Source Data](#source-data) | |
| - [Annotations](#annotations) | |
| - [Personal and Sensitive Information](#personal-and-sensitive-information) | |
| - [Considerations for Using the Data](#considerations-for-using-the-data) | |
| - [Social Impact of Dataset](#social-impact-of-dataset) | |
| - [Discussion of Biases](#discussion-of-biases) | |
| - [Other Known Limitations](#other-known-limitations) | |
| - [Additional Information](#additional-information) | |
| - [Dataset Curators](#dataset-curators) | |
| - [Licensing Information](#licensing-information) | |
| - [Citation Information](#citation-information) | |
| ## Dataset Description | |
| - **Homepage:** [Needs More Information] | |
| - **Repository:** [Needs More Information] | |
| - **Paper:** [Needs More Information] | |
| - **Leaderboard:** [Needs More Information] | |
| - **Point of Contact:** [Needs More Information] | |
| ### 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) | |
| ### Supported Tasks and Leaderboards | |
| [Needs More Information] | |
| ### Languages | |
| `en`, `nl`, `it` | |
| ## Dataset Structure | |
| ### Data Instances | |
| [Needs More Information] | |
| ### Data Fields | |
| - article_url: str | |
| - article_title: str | |
| - is_sarcastic: int | |
| - lang: str | |
| - title_length: int | |
| ### Data Splits | |
| [Needs More Information] | |
| ## Dataset Creation | |
| ### Curation Rationale | |
| [Needs More Information] | |
| ### Source Data | |
| #### Initial Data Collection and Normalization | |
| [Needs More Information] | |
| #### Who are the source language producers? | |
| [Needs More Information] | |
| ### Annotations | |
| #### Annotation process | |
| [Needs More Information] | |
| #### Who are the annotators? | |
| [Needs More Information] | |
| ### Personal and Sensitive Information | |
| [Needs More Information] | |
| ## Considerations for Using the Data | |
| ### Social Impact of Dataset | |
| [Needs More Information] | |
| ### Discussion of Biases | |
| [Needs More Information] | |
| ### Other Known Limitations | |
| [Needs More Information] | |
| ## Additional Information | |
| ### Dataset Curators | |
| [Needs More Information] | |
| ### Licensing Information | |
| [Needs More Information] | |
| ### Citation Information | |
| [Needs More Information] |