
# 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**: https://danlp.alexandra.dk/304bd159d5de/datasets/twitter.sentiment.zip

### Dataset Summary

This dataset consists of anonymised Danish Twitter data 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 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, being identical to the original splits. There are 1,007 tweets in the training split and 431 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). 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

```
@misc{twittersent,
  title={TwitterSent},
  author={Alexandra Institute},
  year={2020},
  note={\url{https://danlp-alexandra.readthedocs.io/en/latest/docs/datasets.html#twitsent}}
}
```

### Contributions

Thanks to [@saattrupdan](https://github.com/saattrupdan) for adding this dataset to the Hugging Face Hub.
task_categories:text-classification task_ids:sentiment-classification annotations_creators:expert-generated language_creators:found multilinguality:monolingual size_categories:1K<n<10K source_datasets:original language:da license:cc-by-4.0 region:us
{"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["da"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["sentiment-classification"], "pretty_name": "TwitterSent"}
TAGS
#task_categories-text-classification #task_ids-sentiment-classification #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Danish #license-cc-by-4.0 #region-us 


# Dataset Card for DKHate

## Table of Contents
- Table of Contents
- Dataset Description
  - Dataset Summary
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions

## Dataset Description

- Direct Download: URL

### Dataset Summary

This dataset consists of anonymised Danish Twitter data that has been annotated for sentiment analysis by the Alexandra Institute - 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 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, being identical to the original splits. There are 1,007 tweets in the training split and 431 in the test split.

## Additional Information

### Dataset Curators

The collection and annotation of the dataset is solely due to the Alexandra Institute. The tweets have been anonymised by @saattrupdan.

### Licensing Information

The dataset is released under the CC BY 4.0 license.





### Contributions

Thanks to @saattrupdan for adding this dataset to the Hugging Face Hub.
# Dataset Card for DKHate ## Table of Contents
- Table of Contents
- Dataset Description
  - Dataset Summary
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions ## Dataset Description

- Direct Download: URL ### Dataset Summary

This dataset consists of anonymised Danish Twitter data that has been annotated for sentiment analysis by the Alexandra Institute - 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 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, being identical to the original splits. There are 1,007 tweets in the training split and 431 in the test split. ## Additional Information ### Dataset Curators

The collection and annotation of the dataset is solely due to the Alexandra Institute. The tweets have been anonymised by @saattrupdan. ### Licensing Information

The dataset is released under the CC BY 4.0 license. ### Contributions

Thanks to @saattrupdan for adding this dataset to the Hugging Face Hub.
TAGS
#task_categories-text-classification #task_ids-sentiment-classification #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Danish #license-cc-by-4.0 #region-us 
 # Dataset Card for DKHate ## Table of Contents
- Table of Contents
- Dataset Description
  - Dataset Summary
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions ## Dataset Description

- Direct Download: URL ### Dataset Summary

This dataset consists of anonymised Danish Twitter data that has been annotated for sentiment analysis by the Alexandra Institute - 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 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, being identical to the original splits. There are 1,007 tweets in the training split and 431 in the test split. ## Additional Information ### Dataset Curators

The collection and annotation of the dataset is solely due to the Alexandra Institute. The tweets have been anonymised by @saattrupdan. ### Licensing Information

The dataset is released under the CC BY 4.0 license. ### Contributions

Thanks to @saattrupdan for adding this dataset to the Hugging Face Hub.