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heliosbrahma/mental_health_conversational_dataset

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Hugging Face2023-07-22 更新2024-03-04 收录
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https://hf-mirror.com/datasets/heliosbrahma/mental_health_conversational_dataset
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--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 102904 num_examples: 154 download_size: 60865 dataset_size: 102904 license: mit task_categories: - text-generation - conversational language: - en tags: - medical pretty_name: Mental Health Conversational Dataset size_categories: - n<1K --- # Dataset Card for "mental_health_conversational_dataset" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-instances) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Personal and Sensitive Information](#personal-and-sensitive-information) ## Dataset Description ### Dataset Summary This dataset contains conversational pair of questions and answers in a single text related to Mental Health. Dataset was curated from healthcare websites, popular blogs like WebMD and HeatlhLine, online FAQs etc. All questions and answers have been anonymized to remove any PII data and pre-processed to remove any unwanted characters. ### Languages The text in the dataset is in English. ## Dataset Structure ### Data Instances A data instance include a text columns which is a conversational pair of questions and answers. Questions were asked by the patients and answers were given by healthcare providers. ### Data Fields - 'text': conversational pair of questions and answers between patient and healthcare provider. ## Dataset Creation ### Curation Rationale Chatbots offer a readily available and accessible platform for individuals seeking support. They can be accessed anytime and anywhere, providing immediate assistance to those in need. Chatbots can offer empathetic and non-judgmental responses, providing emotional support to users. While they cannot replace human interaction entirely, they can be a helpful supplement, especially in moments of distress. Hence, this dataset was curated to help finetune a conversational AI bot using this custom dataset which can then be deployed and be provided to the end patient as a chatbot. ### Source Data This dataset was curated from healthcare websites, popular blogs like WebMD and HeatlhLine, online FAQs etc. ### Personal and Sensitive Information The dataset may contain sensitive information related to mental health. All questions and answers have been anonymized to remove any PII data.
提供机构:
heliosbrahma
原始信息汇总

数据集概述

数据集基本信息

  • 名称: Mental Health Conversational Dataset
  • 语言: 英语 (en)
  • 标签: 医疗 (medical)
  • 许可证: MIT
  • 任务类别:
    • 文本生成
    • 对话系统

数据集结构

数据实例

  • 描述: 每个数据实例包含一个文本列,该文本列是患者与医疗提供者之间的问答对话对。

数据字段

  • text: 患者与医疗提供者之间的问答对话对。

数据集创建

来源数据

  • 描述: 数据集从医疗网站、如WebMD和HealthLine等流行博客、在线常见问题等处收集。

个人及敏感信息

  • 描述: 数据集可能包含与心理健康相关的敏感信息。所有问题和答案都已匿名化,以移除任何个人识别信息(PII)。
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