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JyotiNayak/gpt4-pol-ideologies-small

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Hugging Face2024-02-26 更新2024-03-04 收录
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https://hf-mirror.com/datasets/JyotiNayak/gpt4-pol-ideologies-small
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资源简介:
--- license: apache-2.0 task_categories: - text-classification language: - en size_categories: - n<1K --- # Dataset Card for Dataset Name <!-- Provide a quick summary of the dataset. --> This dataset card contains very short paragraphs (2-3 sentences) which are labelled as either 'liberal' or 'conservative'. It has been generated using GPT-4. ## Dataset Details ### Dataset Description <!-- Provide a longer summary of what this dataset is. --> The dataset has been created using this prompt: 'Write a short paragraph (2-3 sentences) expressing a {label} political viewpoint.' All the entries has also been manually checked to ensure that the paragraph accurately maps to the labels. Note that the lables may not be representative of political discourses outside of the United States. - **Curated by:** Jyoti S Nayak - **Language(s) (NLP):** English - **License:** Apache ## Uses <!-- Address questions around how the dataset is intended to be used. --> ### Direct Use <!-- This section describes suitable use cases for the dataset. --> This dataset can be a great starting point to train models to anaylyse political speeches and legal and political documents.
提供机构:
JyotiNayak
原始信息汇总

数据集卡片 - Dataset Name

数据集概述

该数据集包含非常短的段落(2-3句话),这些段落被标记为“自由派”或“保守派”。数据集由GPT-4生成。

数据集详情

数据集描述

数据集是通过以下提示创建的:“写一个简短的段落(2-3句话)表达一个{标签}政治观点。”

所有条目都经过手动检查,以确保段落准确映射到标签。请注意,这些标签可能不代表美国以外的政治讨论。

  • 制作人: Jyoti S Nayak
  • 语言(NLP): 英语
  • 许可证: Apache

用途

直接使用

该数据集适合作为训练模型分析政治演讲和法律及政治文件的起点。

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