ZahrizhalAli/mental_health_conversational_dataset

---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_examples: 175
license: mit
task_categories:
- text-generation
- conversational
language:
- en
tags:
- medical
pretty_name: Mental Health Chatbot Dataset
size_categories:
- n<1K
---

# CREDIT: Dataset Card for "heliosbrahma/mental_health_chatbot_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 popular healthcare blogs like WebMD, Mayo Clinic 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 popular healthcare blogs like WebMD, Mayo Clinic 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.

原始信息汇总

数据集概述

基本信息

• 名称: Mental Health Chatbot Dataset
• 别名: heliosbrahma/mental_health_chatbot_dataset
• 许可: MIT
• 标签: medical
• 语言: English (en)
• 任务类别:
  • text-generation
  • conversational
• 大小类别: n<1K

数据集结构

• 特征:
  • text: string类型，包含患者与医疗提供者之间的问答对话。
• 分割:
  • train: 包含175个示例。

数据集内容

• 描述: 本数据集包含与心理健康相关的问答对话，这些对话来自WebMD、Mayo Clinic和HealthLine等流行医疗博客及在线FAQ。所有问答均已匿名处理，移除了任何个人识别信息(PII)和不需要的字符。
• 实例: 每个实例包含一个文本列，该列是患者与医疗提供者之间的问答对话。

数据集创建

• 理由: 为了帮助微调一个使用此自定义数据集的对话AI机器人，该机器人可以部署并提供给最终患者作为聊天机器人使用。
• 来源: 数据集从WebMD、Mayo Clinic和HealthLine等流行医疗博客及在线FAQ中精选而来。
• 敏感信息处理: 数据集可能包含与心理健康相关的敏感信息，所有问答均已匿名处理，移除了任何个人识别信息。