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相关概念视频

Hindsight Biases01:12

Hindsight Biases

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Hindsight bias leads you to believe that the event you just experienced was predictable, even though it really wasn’t. In other words, you knew all along that things would turn out the way they did. Can you relate this to the phrase "Hindsight is 20/20" now? 
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Data Collection II01:29

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The nursing history captures and records the patient's health status, so that a care plan evolves to meet the patient's individual needs. The nursing health history is a part of the initial assessment. A comprehensive history covers all health dimensions and plays a significant role in the assessment process. A comprehensive history includes the patient's biographical information, reasons for seeking health care, expectations, present and past health history, medications, and...
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Data Collection I01:30

Data Collection I

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Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of...
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Cochran's Q Test01:17

Cochran's Q Test

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Cochran's Q Test is a nonparametric statistical test used to determine if there are potential differences in the outcomes of three or more related groups on a binary (yes/no) or dichotomous outcome. It is essentially an extension of the McNemar Test, which is limited to two related samples - Cochran's Q test can handle three or more related samples, making it more versatile in scenarios where subjects are measured under multiple conditions. The test statistic follows a Chi-Square...
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Data Collection by Survey01:07

Data Collection by Survey

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The systematic method of obtaining and analyzing accurate information of a population is called data collection. A survey is a standard method of data collection that involves collecting information from a target human population about their experience, opinion, or knowledge of a product, service, or process. The responses are recorded and interpreted. The most common survey examples are written questionnaires, face-to-face or telephonic conversations, focus groups, and electronic (e-mail or...
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Quartile01:15

Quartile

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Quartiles are numbers that separate the data into quarters. Quartiles may or may not be part of the data. To find the quartiles, first, find the median or second quartile. The first quartile, Q1, is the middle value of the lower half of the data, and the third quartile, Q3, is the middle value, or median, of the upper half of the data. To get the idea, consider the same data set:
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相关实验视频

Updated: Jul 25, 2025

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
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HQA-数据:来自之前的多视角对话的历史问题答案生成数据集.

Sabbir Hosen1, Jannatul Ferdous Eva1, Ayman Hasib1

  • 1Department of Computer Science and Engineering, University of Asia Pacific, Dhaka, Bangladesh.

Data in brief
|June 29, 2023
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概括
此摘要是机器生成的。

这项研究引入了用于训练聊天机器人和自然语言处理 (NLP) 模型的新数据集. 该数据集来源于Ubuntu对话库,包含问题答案对,用于改进聊天分析和开放域问题答案.

关键词:
贝尔特 (BERT) 公司深度学习是一种深度学习.机器学习是机器学习.自然语言处理自然语言处理.问答一代的问题 回答一代的问题文字处理器 文字处理器在Ubuntu对话库中.

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相关实验视频

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科学领域:

  • 计算机科学 计算机科学
  • 人工智能的人工智能
  • 自然语言处理自然语言处理.

背景情况:

  • 聊天机器人和人工智能模型需要广泛的,高质量的数据进行培训.
  • 现有的对话数据集对于特定的NLP任务 (如回答问题) 可能没有最佳的结构.
  • 乌本图对话库是一个大型的多轮对话的集合.

研究的目的:

  • 为培训聊天机器人和聊天分析模型创建质量保证数据集.
  • 专注于自然语言处理 (NLP) 任务,特别是提供令人满意的用户查询响应.
  • 为专门的数据集利用现有的大规模对话数据.

主要方法:

  • 来自Ubuntu对话库 (大约. 一百万次对话).
  • 生成的问答对仅从衍生上下文中生成.
  • 结构化了数据集,其中包含9364个上下文和36438个问答对.

主要成果:

  • 一个为NLP任务量身定制的新型数据集,包括聊天机器人培训和分析.
  • 数据集包括9364个上下文和36438个问答对.
  • 数据以原始格式呈现,并已公开开源.

结论:

  • 数据集有助于开发更有效的聊天机器人和NLP模型.
  • 它支持各种应用,包括跨语言QA,深度学习和阅读理解.
  • 开源性质促进了人工智能和NLP的进一步研究和开发.