DDSC/europarl

---
annotations_creators:
- expert-generated
language_creators:
- found
language:
- da
license:
- 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 documents 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{europarl,
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.

原始信息汇总

数据集概述

• 数据集名称: DKHate
• 数据集别名: TwitterSent
• 语言: 丹麦语（da）
• 许可证: CC BY 4.0
• 多语言性: 单语种
• 数据集大小: 小于1K
• 数据来源: 原创
• 任务类别: 文本分类
• 任务ID: 情感分类

数据集描述

• 数据集摘要: 该数据集包含来自欧洲议会的丹麦语数据，由Alexandra Institute进行情感分析标注。
• 支持的任务: 情感分析

数据集结构

• 数据实例: 每个数据实例包含文档及其关联的标签。
• 数据字段:
  • text (str): 文本内容。
  • label (str): 文本的标签，可以是"positiv"（积极）、"neutral"（中性）或"negativ"（消极）。
• 数据分割: 提供train和test分割，测试集占30%，随机分层采样。训练集包含669个文档，测试集包含288个文档。

附加信息

• 数据集创建者: Alexandra Institute

• 许可证信息: 数据集根据CC BY 4.0许可证发布。

• 引用信息:

  @misc{europarl, title={EuroParl}, author={Alexandra Institute}, year={2020}, note={url{https://danlp-alexandra.readthedocs.io/en/latest/docs/datasets.html#europarl-sentiment2}} }