Create README.md

README.md

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+---
+annotations_creators:
+- expert-generated
+language_creators:
+- found
+languages:
+- da
+licenses:
+- cc-by-4.0
+multilinguality:
+- monolingual
+pretty_name: TwitterSent
+size_categories:
+- n<1K
+source_datasets:
+- original
+task_categories:
+- text-classification
+task_ids:
+- sentiment-classification
+---
+
+# Dataset Card for DKHate
+
+## 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
+
+- **Direct Download**: http://danlp-downloads.alexandra.dk/datasets/europarl.sentiment2.zip
+
+### Dataset Summary
+
+This dataset consists of Danish data from the European Parliament that has been annotated for sentiment analysis by the [Alexandra Institute](https://github.com/alexandrainst) - all credits go to them.
+
+### 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 document and an associated label.
+
+### Data Fields
+
+An entry in the dataset consists of the following fields:
+- `text` (`str`): The text 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 669 tweets in the training split and 288 in the test split.
+
+## Additional Information
+
+### Dataset Curators
+
+The collection and annotation of the dataset is solely due to the [Alexandra Institute](https://github.com/alexandrainst).
+
+### Licensing Information
+
+The dataset is released under the CC BY 4.0 license.
+
+### Citation Information
+
+```
+@misc{twittersent,
+  title={EuroParl},
+  author={Alexandra Institute},
+  year={2020},
+  note={\url{https://danlp-alexandra.readthedocs.io/en/latest/docs/datasets.html#europarl-sentiment2}}
+}
+```
+
+### Contributions
+
+Thanks to [@saattrupdan](https://github.com/saattrupdan) for adding this dataset to the Hugging Face Hub.