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femustafa/DEExtract

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Hugging Face2024-01-23 更新2024-03-04 收录
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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
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