AIRRC/Eudaimonic

--- language: - en license: apache-2.0 task_categories: - text-generation - table-question-answering pretty_name: Eudaimonic tags: - art dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 8842280 num_examples: 5719 download_size: 3092959 dataset_size: 8842280 configs: - config_name: default data_files: - split: train path: data/train-* --- # Eudaimonic ## Overview This dataset is designed to facilitate the study and analysis of philosophy and human emotions, with a particular emphasis on multi-turn conversations. It provides a rich collection of dialogues and text data that delve into various philosophical themes and emotional expressions, making it an invaluable resource for researchers, educators, and developers working in the fields of natural language processing, sentiment analysis, and artificial intelligence. ## Features - **Philosophical Themes**: Contains dialogues and texts exploring a wide range of philosophical ideas and concepts. - **Emotional Depth**: Includes data representing a diverse array of human emotions, capturing subtle nuances and complex emotional states. - **Multi-turn Conversations**: Supports the study of extended dialogues, allowing for the analysis of conversational dynamics over multiple interactions. ## Applications - **Sentiment Analysis**: Ideal for developing and testing sentiment analysis models, particularly those focusing on nuanced emotional understanding. - **Conversational AI**: A great resource for training chatbots and virtual assistants on deep and meaningful conversations. - **Philosophical Research**: Can be used as a reference or corpus for academic research in philosophy, psychology, and related fields. ## Acknowledgments We thanks our GPU provider and sponsor, [Backprop](https://backprop.co/), for their generous support in making this dataset possible. [<img src="https://3836709355-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/organizations%2FwDbvcaq2jzMIzSp5jjY3%2Fsites%2Fsite_ivwh9%2Ficon%2FkYVm0KNb6WLRhjdJ80WG%2Ffavicon.png?alt=media&token=bf9acdf5-47af-4d97-8b1c-8434c844452c" width="100"/>](https://backprop.co/)--- 语言： - 英语 许可证：Apache-2.0 任务类别： - 文本生成 - 表格问答 展示名称：Eudaimonic 标签： - 艺术 数据集信息： 特征： - 名称：conversations（对话），为列表类型，包含： - from：数据类型为字符串 - value：数据类型为字符串 划分： - 名称：训练集（train），字节大小：8842280，示例数量：5719 下载大小：3092959 数据集总大小：8842280 配置： - 配置名称：默认（default），数据文件： - 划分：训练集，路径：data/train-* --- # Eudaimonic ## 概述 本数据集旨在推动哲学与人类情感的研究与分析，尤其聚焦于多轮对话场景。其收录了丰富的对话与文本数据，深入探讨各类哲学主题与情感表达，可为自然语言处理、情感分析及人工智能领域的研究人员、教育工作者与开发者提供极具价值的科研资源。 ## 特征 - **哲学主题**：涵盖探索广泛哲学思想与概念的对话与文本内容。 - **情感深度**：包含表征多样人类情感的数据，捕捉细腻的情绪层次与复杂情感状态。 - **多轮对话**：支持对扩展对话的研究，可分析多轮交互中的对话动态。 ## 应用场景 - **情感分析**：非常适合开发与测试情感分析模型，尤其是聚焦于细腻情感理解的模型。 - **对话式AI**：训练聊天机器人与虚拟助手开展深度且有意义对话的优质资源。 - **哲学研究**：可作为哲学、心理学及相关领域学术研究的参考语料库。 ## 致谢 我们感谢GPU提供商与赞助商[Backprop](https://backprop.co/)为该数据集的制作提供的慷慨支持。 [<img src="https://3836709355-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/organizations%2FwDbvcaq2jzMIzSp5jjY3%2Fsites%2Fsite_ivwh9%2Ficon%2FkYVm0KNb6WLRhjdJ80WG%2Ffavicon.png?alt=media&token=bf9acdf5-47af-4d97-8b1c-8434c844452c" width="100"/>](https://backprop.co/)