Datasets:
Tasks:
Text Classification
Sub-tasks:
sentiment-analysis
Languages:
Danish
Size:
n<1K
Tags:
stance-detection
License:
| annotations_creators: | |
| - expert-generated | |
| language_creators: | |
| - found | |
| language: | |
| - da | |
| license: | |
| - cc-by-4.0 | |
| multilinguality: | |
| - monolingual | |
| size_categories: | |
| - n<1K | |
| source_datasets: | |
| - original | |
| task_categories: | |
| - text-classification | |
| task_ids: | |
| - sentiment-analysis | |
| paperswithcode_id: polstance | |
| pretty_name: Political Stance for Danish | |
| tags: | |
| - stance-detection | |
| # Dataset Card for "polstance" | |
| ## Table of Contents | |
| - [Dataset Description](#dataset-description) | |
| - [Dataset Summary](#dataset-summary) | |
| - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) | |
| - [Languages](#languages) | |
| - [Dataset Structure](#dataset-structure) | |
| - [Data Instances](#data-instances) | |
| - [Data Fields](#data-fields) | |
| - [Data Splits](#data-splits) | |
| - [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://stromberg.ai/publication/politicalstanceindanish/](https://stromberg.ai/publication/politicalstanceindanish/) | |
| - **Repository:** [https://github.com/StrombergNLP/Political-Stance-in-Danish/](https://github.com/StrombergNLP/Political-Stance-in-Danish/) | |
| - **Paper:** [https://aclanthology.org/W19-6121/](https://aclanthology.org/W19-6121/) | |
| - **Point of Contact:** [Leon Derczynski](https://github.com/leondz) | |
| - **Size of downloaded dataset files:** 548 KB | |
| - **Size of the generated dataset:** 222 KB | |
| - **Total amount of disk used:** 770 KB | |
| ### Dataset Summary | |
| Political stance in Danish. Examples represent statements by | |
| politicians and are annotated for, against, or neutral to a given topic/article. | |
| ### Supported Tasks and Leaderboards | |
| * | |
| ### Languages | |
| Danish, bcp47: `da-DK` | |
| ## Dataset Structure | |
| ### Data Instances | |
| #### polstance | |
| An example of 'train' looks as follows. | |
| ``` | |
| { | |
| 'id': '0', | |
| 'topic': 'integration', | |
| 'quote': 'Der kunne jeg godt tænke mig, at der stod mere eksplicit, at de (landene, red.) skal bekæmpe menneskesmuglere og tage imod deres egne borgere', | |
| 'label': 2, | |
| 'quoteID': '516', | |
| 'party': 'Det Konservative Folkeparti', | |
| 'politician': 'Naser Khader', | |
| } | |
| ``` | |
| ### Data Fields | |
| - `id`: a `string` feature. | |
| - `topic`: a `string` expressing a topic. | |
| - `quote`: a `string` to be classified for its stance to the topic. | |
| - `label`: a class label representing the stance the text expresses towards the target. Full tagset with indices: | |
| ``` | |
| 0: "against", | |
| 1: "neutral", | |
| 2: "for", | |
| ``` | |
| - `quoteID`: a `string` of the internal quote ID. | |
| - `party`: a `string` describing the party affiliation of the quote utterer at the time of utterance. | |
| - `politician`: a `string` naming the politician who uttered the quote. | |
| ### Data Splits | |
| | name |train| | |
| |---------|----:| | |
| |polstance|900 sentences| | |
| ## Dataset Creation | |
| ### Curation Rationale | |
| Collection of quotes from politicians to allow detecting how political quotes orient to issues. | |
| ### Source Data | |
| #### Initial Data Collection and Normalization | |
| The data is taken from proceedings of the Danish parliament, the Folketing - [ft.dk](https://ft.dk). | |
| #### Who are the source language producers? | |
| Danish polticians | |
| ### Annotations | |
| #### Annotation process | |
| Annotators labelled comments for being against, neutral, or for a specified topic | |
| #### Who are the annotators? | |
| Danish native speakers, 20s, male, studying Software Design. | |
| ### Personal and Sensitive Information | |
| The data was public at the time of collection and will remain open public record by law in Denmark. | |
| ## Considerations for Using the Data | |
| ### Social Impact of Dataset | |
| ### Discussion of Biases | |
| ### Other Known Limitations | |
| The above limitations apply. | |
| ## Additional Information | |
| ### Dataset Curators | |
| The dataset is curated by the paper's authors. | |
| ### Licensing Information | |
| The authors distribute this data under Creative Commons attribution license, CC-BY 4.0. | |
| ### Citation Information | |
| ``` | |
| @inproceedings{lehmann2019political, | |
| title={Political Stance in Danish}, | |
| author={Lehmann, Rasmus and Derczynski, Leon}, | |
| booktitle={Proceedings of the 22nd Nordic Conference on Computational Linguistics}, | |
| pages={197--207}, | |
| year={2019} | |
| } | |
| ``` | |
| ### Contributions | |
| Author-added dataset [@leondz](https://github.com/leondz) | |