femustafa/DEExtract
收藏Hugging Face2024-01-23 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/femustafa/DEExtract
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资源简介:
---
license: openrail
task_categories:
- text-generation
- feature-extraction
language:
- de
tags:
- mlsum
- wirtschaft
- politik
---
ChatGPT is used to synthesize paragraphs at two CEFR levels (B1, C2) using a list of verbs (vocab) for two topics (Politics, Economy)
The code for data creation is uploaded on [Github](https://github.com/Faizan-E-Mustafa/DEExtract).
## Cite
```
@INPROCEEDINGS{10391702,
author={Mustafa, Faizan E},
booktitle={2023 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)},
title={DEExtract: A Customizable Context-Based German Vocabulary Learning Tool},
year={2023},
volume={},
number={},
pages={65-69},
doi={10.1109/3ICT60104.2023.10391702}}
```
## Disclaimer
The dataset is created using ChatGPT and further use is permitted as long the use complies with the [Terms and Conditions](https://openai.com/policies/terms-of-use) of OpenAI.
提供机构:
femustafa
原始信息汇总
数据集概述
许可证
- 开放铁路许可证 (openrail)
任务类别
- 文本生成
- 特征提取
语言
- 德语
标签
- mlsum
- wirtschaft (经济)
- politik (政治)
数据集描述
- 使用ChatGPT合成两个CEFR级别(B1, C2)的段落,基于动词列表(词汇)和两个主题(政治、经济)。
引用
@INPROCEEDINGS{10391702, author={Mustafa, Faizan E}, booktitle={2023 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)}, title={DEExtract: A Customizable Context-Based German Vocabulary Learning Tool}, year={2023}, volume={}, number={}, pages={65-69}, doi={10.1109/3ICT60104.2023.10391702}}
免责声明
- 数据集由ChatGPT创建,进一步使用需遵守OpenAI的使用条款。



