
# 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

- **Homepage:** [https://stromberg.ai/publication/offensivelanguageandhatespeechdetectionfordanish/](https://stromberg.ai/publication/offensivelanguageandhatespeechdetectionfordanish/)
- **Repository:** [https://github.com/StrombergNLP/dkhate](https://github.com/StrombergNLP/dkhate)
- **Paper:** [https://https://aclanthology.org/2020.lrec-1.430/](aclanthology.org/2020.lrec-1.430/), [https://arxiv.org/abs/1908.04531](https://arxiv.org/abs/1908.04531)
- **Direct Download**: [https://figshare.com/articles/dataset/Danish_Hate_Speech_Abusive_Language_data/12220805](https://figshare.com/articles/dataset/Danish_Hate_Speech_Abusive_Language_data/12220805)
- **Point of Contact:** [Leon Derczynski](mailto:leod@itu.dk)

### Dataset Summary

This dataset consists of anonymised Danish Twitter data that has been annotated for hate speech. All credits go to the authors of the following paper, who created the dataset: 

[Offensive Language and Hate Speech Detection for Danish](https://aclanthology.org/2020.lrec-1.430) (Sigurbergsson & Derczynski, LREC 2020)

### Supported Tasks and Leaderboards

This dataset is suitable for hate speech detection.

* PwC leaderboard for Task A: [Hate Speech Detection on DKhate](https://paperswithcode.com/sota/hate-speech-detection-on-dkhate)
### 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 either "OFF" or "NOT", being offensive and not offensive, respectively.

### Data Splits

A `train` and `test` split is available, which are identical to the original splits. There are 2,960 tweets in the training split and 329 in the test split.

## Additional Information

### Dataset Curators

The curation of the dataset is solely due to the authors of [the original paper](https://aclanthology.org/2020.lrec-1.430/): Gudbjartur Ingi Sigurbergsson and Leon Derczynski.

### Licensing Information

The dataset is released under the CC BY 4.0 license.

### Citation Information

```
@inproceedings{sigurbergsson2020offensive,
  title={Offensive Language and Hate Speech Detection for Danish},
  author={Sigurbergsson, Gudbjartur Ingi and Derczynski, Leon},
  booktitle={Proceedings of the 12th Language Resources and Evaluation Conference},
  pages={3498--3508},
  year={2020}
}
```

### Contributions

Thanks to [@saattrupdan](https://github.com/saattrupdan) for adding this dataset to the Hugging Face Hub.
task_categories:text-classification task_ids:hate-speech-detection annotations_creators:expert-generated language_creators:found multilinguality:monolingual size_categories:1K<n<10K source_datasets:original language:da license:cc-by-4.0 arxiv:1908.04531 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": ["hate-speech-detection"], "paperswithcode_id": "dkhate", "pretty_name": "DKHate", "extra_gated_prompt": "Content warning: This dataset contains harmful text (abusive language, hate speech)."}
TAGS
#task_categories-text-classification #task_ids-hate-speech-detection #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Danish #license-cc-by-4.0 #arxiv-1908.04531 #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

- Homepage: URL
- Repository: URL
- Paper: https://URL URL
- Direct Download: URL
- Point of Contact: Leon Derczynski

### Dataset Summary

This dataset consists of anonymised Danish Twitter data that has been annotated for hate speech. All credits go to the authors of the following paper, who created the dataset: 

Offensive Language and Hate Speech Detection for Danish (Sigurbergsson & Derczynski, LREC 2020)

### Supported Tasks and Leaderboards

This dataset is suitable for hate speech detection.

* PwC leaderboard for Task A: Hate Speech Detection on DKhate
### 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 either "OFF" or "NOT", being offensive and not offensive, respectively.

### Data Splits

A 'train' and 'test' split is available, which are identical to the original splits. There are 2,960 tweets in the training split and 329 in the test split.

## Additional Information

### Dataset Curators

The curation of the dataset is solely due to the authors of the original paper: Gudbjartur Ingi Sigurbergsson and Leon Derczynski.

### 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

- Homepage: URL
- Repository: URL
- Paper: https://URL URL
- Direct Download: URL
- Point of Contact: Leon Derczynski ### Dataset Summary

This dataset consists of anonymised Danish Twitter data that has been annotated for hate speech. All credits go to the authors of the following paper, who created the dataset: 

Offensive Language and Hate Speech Detection for Danish (Sigurbergsson & Derczynski, LREC 2020) ### Supported Tasks and Leaderboards

This dataset is suitable for hate speech detection.

* PwC leaderboard for Task A: Hate Speech Detection on DKhate ### 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 either "OFF" or "NOT", being offensive and not offensive, respectively. ### Data Splits

A 'train' and 'test' split is available, which are identical to the original splits. There are 2,960 tweets in the training split and 329 in the test split. ## Additional Information ### Dataset Curators

The curation of the dataset is solely due to the authors of the original paper: Gudbjartur Ingi Sigurbergsson and Leon Derczynski. ### 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-hate-speech-detection #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Danish #license-cc-by-4.0 #arxiv-1908.04531 #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

- Homepage: URL
- Repository: URL
- Paper: https://URL URL
- Direct Download: URL
- Point of Contact: Leon Derczynski ### Dataset Summary

This dataset consists of anonymised Danish Twitter data that has been annotated for hate speech. All credits go to the authors of the following paper, who created the dataset: 

Offensive Language and Hate Speech Detection for Danish (Sigurbergsson & Derczynski, LREC 2020) ### Supported Tasks and Leaderboards

This dataset is suitable for hate speech detection.

* PwC leaderboard for Task A: Hate Speech Detection on DKhate ### 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 either "OFF" or "NOT", being offensive and not offensive, respectively. ### Data Splits

A 'train' and 'test' split is available, which are identical to the original splits. There are 2,960 tweets in the training split and 329 in the test split. ## Additional Information ### Dataset Curators

The curation of the dataset is solely due to the authors of the original paper: Gudbjartur Ingi Sigurbergsson and Leon Derczynski. ### 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.
passage: TAGS
#task_categories-text-classification #task_ids-hate-speech-detection #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Danish #license-cc-by-4.0 #arxiv-1908.04531 #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

- Homepage: URL
- Repository: URL
- Paper: https://URL URL
- Direct Download: URL
- Point of Contact: Leon Derczynski### Dataset Summary

This dataset consists of anonymised Danish Twitter data that has been annotated for hate speech. All credits go to the authors of the following paper, who created the dataset: 

Offensive Language and Hate Speech Detection for Danish (Sigurbergsson & Derczynski, LREC 2020)### Supported Tasks and Leaderboards

This dataset is suitable for hate speech detection.

* PwC leaderboard for Task A: Hate Speech Detection on DKhate### 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 either "OFF" or "NOT", being offensive and not offensive, respectively.### Data Splits

A 'train' and 'test' split is available, which are identical to the original splits. There are 2,960 tweets in the training split and 329 in the test split.## Additional Information