heliosbrahma/mental_health_conversational_dataset
收藏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)。



