--- --- # Dataset Card for "hyperpartisan_news_detection" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks](#supported-tasks) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits Sample Size](#data-splits-sample-size) - [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) - [Contributions](#contributions) ## Dataset Description - **Homepage:** [https://pan.webis.de/semeval19/semeval19-web/](https://pan.webis.de/semeval19/semeval19-web/) - **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - **Size of downloaded dataset files:** 957.68 MB - **Size of the generated dataset:** 5354.14 MB - **Total amount of disk used:** 6311.82 MB ### Dataset Summary Hyperpartisan News Detection was a dataset created for PAN @ SemEval 2019 Task 4. Given a news article text, decide whether it follows a hyperpartisan argumentation, i.e., whether it exhibits blind, prejudiced, or unreasoning allegiance to one party, faction, cause, or person. There are 2 parts: - byarticle: Labeled through crowdsourcing on an article basis. The data contains only articles for which a consensus among the crowdsourcing workers existed. - bypublisher: Labeled by the overall bias of the publisher as provided by BuzzFeed journalists or MediaBiasFactCheck.com. ### Supported Tasks [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Dataset Structure We show detailed information for up to 5 configurations of the dataset. ### Data Instances #### byarticle - **Size of downloaded dataset files:** 0.95 MB - **Size of the generated dataset:** 2.67 MB - **Total amount of disk used:** 3.63 MB An example of 'train' looks as follows. ``` This example was too long and was cropped: { "hyperpartisan": true, "published_at": "2020-01-01", "text": "\"
This is a sample article which will contain lots of text
\\n \\nLorem ipsum dolor sit amet, consectetur adipiscing el...", "title": "Example article 1", "url": "http://www.example.com/example1" } ``` #### bypublisher - **Size of downloaded dataset files:** 956.72 MB - **Size of the generated dataset:** 5351.47 MB - **Total amount of disk used:** 6308.19 MB An example of 'train' looks as follows. ``` This example was too long and was cropped: { "bias": 3, "hyperpartisan": false, "published_at": "2020-01-01", "text": "\"
This is a sample article which will contain lots of text
\\n \\nPhasellus bibendum porta nunc, id venenatis tortor fi...", "title": "Example article 4", "url": "https://example.com/example4" } ``` ### Data Fields The data fields are the same among all splits. #### byarticle - `text`: a `string` feature. - `title`: a `string` feature. - `hyperpartisan`: a `bool` feature. - `url`: a `string` feature. - `published_at`: a `string` feature. #### bypublisher - `text`: a `string` feature. - `title`: a `string` feature. - `hyperpartisan`: a `bool` feature. - `url`: a `string` feature. - `published_at`: a `string` feature. - `bias`: a classification label, with possible values including `right` (0), `right-center` (1), `least` (2), `left-center` (3), `left` (4). ### Data Splits Sample Size #### byarticle | |train| |---------|----:| |byarticle| 645| #### bypublisher | |train |validation| |-----------|-----:|---------:| |bypublisher|600000| 600000| ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @article{kiesel2019data, title={Data for pan at semeval 2019 task 4: Hyperpartisan news detection}, author={Kiesel, Johannes and Mestre, Maria and Shukla, Rishabh and Vincent, Emmanuel and Corney, David and Adineh, Payam and Stein, Benno and Potthast, Martin}, year={2019} } ``` ### Contributions Thanks to [@thomwolf](https://github.com/thomwolf), [@ghomasHudson](https://github.com/ghomasHudson) for adding this dataset.