Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
sentiment-classification
Languages:
Danish
Size:
1K - 10K
License:
| annotations_creators: | |
| - crowdsourced | |
| language_creators: | |
| - found | |
| language: | |
| - da | |
| license: | |
| - cc-by-4.0 | |
| multilinguality: | |
| - monolingual | |
| pretty_name: AngryTweets | |
| size_categories: | |
| - 1K<n<10K | |
| source_datasets: | |
| - original | |
| task_categories: | |
| - text-classification | |
| task_ids: | |
| - sentiment-classification | |
| # Dataset Card for AngryTweets | |
| ## Table of Contents | |
| - [Table of Contents](#table-of-contents) | |
| - [Dataset Description](#dataset-description) | |
| - [Dataset Summary](#dataset-summary) | |
| - [Languages](#languages) | |
| - [Dataset Structure](#dataset-structure) | |
| - [Data Instances](#data-instances) | |
| - [Data Fields](#data-fields) | |
| - [Data Splits](#data-splits) | |
| - [Additional Information](#additional-information) | |
| - [Dataset Curators](#dataset-curators) | |
| - [Licensing Information](#licensing-information) | |
| - [Citation Information](#citation-information) | |
| - [Contributions](#contributions) | |
| ## Dataset Description | |
| - **Paper:** https://aclanthology.org/2021.nodalida-main.53/ | |
| - **Direct Download**: https://danlp-downloads.alexandra.dk/datasets/game_tweets.zip | |
| ### Dataset Summary | |
| 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: | |
| [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/) | |
| ### Supported Tasks and Leaderboards | |
| This dataset is suitable for sentiment analysis. | |
| ### Languages | |
| This dataset is in Danish. | |
| ## Dataset Structure | |
| ### Data Instances | |
| Every entry in the dataset has a tweet and an associated label. | |
| ### Data Fields | |
| An entry in the dataset consists of the following fields: | |
| - `text` (`str`): The tweet content. | |
| - `label` (`str`): The label of the `text`. Can be "positiv", "neutral" or "negativ" for positive, neutral and negative sentiment, respectively. | |
| ### Data Splits | |
| 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. | |
| ## Additional Information | |
| ### Dataset Curators | |
| 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). | |
| ### Licensing Information | |
| The dataset is released under the CC BY 4.0 license. | |
| ### Citation Information | |
| ``` | |
| @inproceedings{pauli2021danlp, | |
| title={DaNLP: An open-source toolkit for Danish Natural Language Processing}, | |
| author={Pauli, Amalie Brogaard and Barrett, Maria and Lacroix, Oph{\'e}lie and Hvingelby, Rasmus}, | |
| booktitle={Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa)}, | |
| pages={460--466}, | |
| year={2021} | |
| } | |
| ``` | |
| ### Contributions | |
| Thanks to [@saattrupdan](https://github.com/saattrupdan) for adding this dataset to the Hugging Face Hub. |