Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
sentiment-classification
Languages:
Danish
Size:
1K - 10K
License:
Commit
•
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Parent(s):
c493767
Create README.md
Browse files
README.md
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---
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annotations_creators:
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- crowdsourced
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language_creators:
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- found
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languages:
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- da
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licenses:
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- cc-by-4.0
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multilinguality:
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- monolingual
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pretty_name: AngryTweets
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size_categories:
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- 1K<n<10K
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source_datasets:
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- original
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task_categories:
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- text-classification
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task_ids:
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- sentiment-classification
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---
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# Dataset Card for DKHate
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## Table of Contents
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- [Table of Contents](#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-fields)
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- [Data Splits](#data-splits)
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- [Additional Information](#additional-information)
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- [Dataset Curators](#dataset-curators)
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- [Licensing Information](#licensing-information)
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- [Citation Information](#citation-information)
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- [Contributions](#contributions)
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## Dataset Description
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- **Paper:** https://aclanthology.org/2021.nodalida-main.53/
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- **Direct Download**: https://danlp-downloads.alexandra.dk/datasets/game_tweets.zip
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### Dataset Summary
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This dataset consists of anonymised Danish Twitter data that has been annotated for sentiment analysis through crowd-sourcing. All credits go to the authors of the following paper, who created the dataset:
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[Pauli, Amalie Brogaard, et al. "DaNLP: An open-source toolkit for Danish Natural Language Processing." Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa). 2021](https://aclanthology.org/2021.nodalida-main.53/)
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### Supported Tasks and Leaderboards
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This dataset is suitable for sentiment analysis.
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### Languages
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This dataset is in Danish.
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## Dataset Structure
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### Data Instances
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Every entry in the dataset has a tweet and an associated label.
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### Data Fields
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An entry in the dataset consists of the following fields:
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- `text` (`str`): The tweet content.
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- `label` (`str`): The label of the `text`. Can be "positiv", "neutral" or "negativ" for positive, neutral and negative sentiment, respectively.
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### Data Splits
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A `train` and `test` split is available, with the test split being 30% of the dataset, randomly sampled in a stratified fashion. There are 2,437 tweets in the training split and 1,047 in the test split.
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## Additional Information
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### Dataset Curators
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The collection and annotation of the dataset is solely due to the authors of [the original paper](https://aclanthology.org/2021.nodalida-main.53/): Amalie Brogaard Pauli, Maria Barrett, Ophélie Lacroix and Rasmus Hvingelby. The tweets have been anonymised by [@saattrupdan](https://github.com/saattrupdan).
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### Licensing Information
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The dataset is released under the CC BY 4.0 license.
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### Citation Information
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```
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@inproceedings{pauli2021danlp,
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title={DaNLP: An open-source toolkit for Danish Natural Language Processing},
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author={Pauli, Amalie Brogaard and Barrett, Maria and Lacroix, Oph{\'e}lie and Hvingelby, Rasmus},
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booktitle={Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa)},
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pages={460--466},
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year={2021}
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}
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```
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### Contributions
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Thanks to [@saattrupdan](https://github.com/saattrupdan) for adding this dataset to the Hugging Face Hub.
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