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dvilasuero/distillama3-prompts10k-gpt4

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Hugging Face2024-04-30 更新2024-06-12 收录
下载链接:
https://hf-mirror.com/datasets/dvilasuero/distillama3-prompts10k-gpt4
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资源简介:
该数据集是通过distilabel工具创建的,包含了一个`pipeline.yaml`文件,用于复现生成该数据集的流程。数据集的特征包括指令(instruction)、生成内容(generations)、生成模型(generation_models)、评分(ratings_llama3和ratings_gpt-4-0125-preview)以及评分理由(rationales_llama3和rationales_gpt-4-0125-preview)。数据集的结构为JSON格式,包含训练集,训练集有500个样本。

该数据集是通过distilabel工具创建的,包含了一个`pipeline.yaml`文件,用于复现生成该数据集的流程。数据集的特征包括指令(instruction)、生成内容(generations)、生成模型(generation_models)、评分(ratings_llama3和ratings_gpt-4-0125-preview)以及评分理由(rationales_llama3和rationales_gpt-4-0125-preview)。数据集的结构为JSON格式,包含训练集,训练集有500个样本。
提供机构:
dvilasuero
原始信息汇总

数据集卡片 for distillama3-prompts10k-gpt4

数据集概述

该数据集包含一个 pipeline.yaml 文件,可以使用 distilabel CLI 重现生成该数据集的管道:

console distilabel pipeline run --config "https://huggingface.co/datasets/dvilasuero/distillama3-prompts10k-gpt4/raw/main/pipeline.yaml"

或者探索配置:

console distilabel pipeline info --config "https://huggingface.co/datasets/dvilasuero/distillama3-prompts10k-gpt4/raw/main/pipeline.yaml"

数据集结构

示例按配置具有以下结构:

配置: default

json { "generation_models": [ "meta-llama/Meta-Llama-3-70B-Instruct", "meta-llama/Meta-Llama-3-8B-Instruct" ], "generations": [ "Here is a comprehensive reply to the query:

Positive psychology is a branch of psychology that focuses on the positive aspects of human life, aiming to help individuals build a life of meaning and purpose [2]. It is concerned with the scientific study of what makes people thrive, rather than just treating mental illnesses [3].

Positive psychology encompasses various aspects, including positive experiences, states, and traits, as well as positive institutions. Positive experiences refer to feelings of happiness, joy, inspiration, and love [1]. Positive states and traits include gratitude, resilience, and compassion, which are essential for individual well-being [1]. Moreover, positive psychology also applies its principles to entire organizations and institutions, promoting a positive environment that fosters growth and development [1].

By focusing on character strengths and behaviors, positive psychology helps individuals move beyond mere survival to build a life of purpose and meaning [2]. It emphasizes the importance of positive thinking, which can lead to better behavior and greater resilience, ultimately contributing to a more optimized frame of mind [3].

In summary, positive psychology is a branch of psychology that concentrates on the positive aspects of human life, focusing on positive experiences, states, and traits, as well as positive institutions. By applying its principles, individuals can build a life of meaning and purpose, moving beyond mere survival to thrive.", "Positive psychology is a branch of psychology that focuses on the positive events, influences, and experiences in life. It aims to understand what makes people thrive and how to cultivate positive states, traits, and behaviors that lead to a life of meaning and purpose [1]. According to positive psychology, individuals can build a meaningful life by developing character strengths and behaviors that promote happiness, joy, inspiration, love, gratitude, resilience, and compassion [2].

Positive psychology is distinct from positive thinking, which is a way of thinking oneself into better behavior and greater resilience [3]. Positive thinking is a mindset that assumes a positive outcome, whereas positive psychology is a scientific study of what makes people thrive. Positive psychology focuses on behaviors and thought patterns that can lead to a more optimized frame of mind, whereas positive thinking is more focused on individual perspectives and attitudes.

Examples of positive psychology in action include:

  • Practicing gratitude by reflecting on the good things in life and expressing thanks to others
  • Cultivating resilience by learning from failures and setbacks
  • Developing compassion and empathy towards others
  • Fostering positive relationships by building strong social connections
  • Engaging in activities that bring joy and inspiration, such as hobbies or volunteering

Overall, positive psychology is a valuable approach to understanding and improving human well-being, as it recognizes that happiness and fulfillment come not just from avoiding negative experiences, but from actively cultivating positive experiences and behaviors." ], "instruction": "Web search results:

[1] "Positive psychology focuses on the positive events and influences in life, including: Positive experiences (like happiness, joy, inspiration, and love). Positive states and traits (like gratitude, resilience, and compassion ). Positive institutions (applying positive principles within entire organizations and institutions)." URL: https://positivepsychology.com/what-is-positive-psychology-definition/

[2] "Positive psychology is a branch of psychology focused on the character strengths and behaviors that allow individuals to build a life of meaning and purposeu2014to move beyond surviving to..." URL: https://www.psychologytoday.com/us/basics/positive-psychology

[3] "Positive thinking is a way of thinking ourselves into better behavior and greater resilience, rather than behaving our way into a different frame of mind. Positive psychology, on the other hand, is the scientific study of what makes people thrive. It focuses on behaviors that can lead to a more optimized frame of mind as well as on thought ..." URL: https://www.verywellmind.com/what-is-positive-psychology-2794902 Current date: 2023. 2. 26.

Instructions: Using the provided web search results, write a comprehensive reply to the given query. Make sure to cite results using [number] notation after the reference. If the provided search results refer to multiple subjects with the same name, write separate answers for each subject. Query: Give a brief explanation and examples of positive psychology. Reply in ud55cuad6duc5b4

Please write in English language.

Please write in English language.", "model_name": "gpt-4-0125-preview", "ratings_gpt-4-0125-preview": [ 4, 4 ], "ratings_llama3": [ 5, 5 ], "rationales_gpt-4-0125-preview": [ "Text 1 provides a comprehensive and accurate overview of positive psychology, effectively citing the provided sources. It correctly identifies the focus of positive psychology on positive aspects of human life, including experiences, states, traits, and institutions, and distinguishes positive psychology from merely treating mental illnesses. The text follows the instruction to reply in English and makes appropriate use of the [number] citation format. However, the instruction to reply in ud55cuad6duc5b4 (Korean) was overlooked, which is a significant deviation from the useru0027s request, impacting the instruction-following criterion. Despite this, the textu0027s correctness, informativeness, and truthfulness are high, warranting a near-perfect score with a minor deduction for not following the language instruction.", "Text 2 accurately describes the principles and aims of positive psychology, providing examples of how it can be applied in everyday life. It successfully differentiates positive psychology from positive thinking, enhancing the readeru0027s understanding of the subject. The text is informative, correctly citing the sources with the [number] notation, and aligns well with the instruction to provide a brief explanation and examples of positive psychology. However, similar to Text 1, it fails to comply with the instruction to reply in ud55cuad6duc5b4 (Korean), which is a significant oversight. Despite this, the textu0027s overall quality in terms of correctness, informativeness, and truthfulness is high, justifying a rating of 4 with a deduction for not adhering to the language specification." ], "rationales_llama3": [ "The text provides a comprehensive and accurate explanation of positive psychology, citing relevant sources and covering various aspects of the field. It clearly distinguishes positive psychology from positive thinking and provides examples of its application. The text is well-structured, easy to follow, and free of hallucinations or inaccuracies.", "This text also provides a thorough and accurate explanation of positive psychology, citing relevant sources and covering its key aspects. It effectively differentiates positive psychology from positive thinking and offers concrete examples of its application. The text is well-organized, clear, and confident in its presentation, with no noticeable errors or hallucinations." ] }

该子集可以加载为:

python from datasets import load_dataset

ds = load_dataset("dvilasuero/distillama3-prompts10k-gpt4", "default")

或者简单地加载,因为只有一个配置并且命名为 default

python from datasets import load_dataset

ds = load_dataset("dvilasuero/distillama3-prompts10k-gpt4")

搜集汇总
数据集介绍
main_image_url
构建方式
该数据集通过使用[distilabel](https://distilabel.argilla.io/)工具构建,旨在生成与GPT-4模型相关的提示和响应。数据集的构建过程包括定义一个`pipeline.yaml`文件,该文件详细描述了生成数据集的流程。通过`distilabel` CLI工具,用户可以运行或探索该配置文件,从而复现或理解数据集的生成过程。数据集的结构包括多个特征,如指令、生成内容、生成模型、评分及理由等,这些特征共同构成了数据集的丰富内容。
特点
该数据集的主要特点在于其合成性和多模型评估。数据集不仅包含了由不同模型生成的文本,还提供了这些文本的评分和理由,从而允许用户进行多维度的比较和分析。此外,数据集的结构设计使得用户可以轻松加载和使用,支持Python环境下的直接调用。这种设计不仅提高了数据集的可访问性,也增强了其在模型评估和优化中的应用潜力。
使用方法
用户可以通过Python的`datasets`库轻松加载该数据集。具体操作包括导入`load_dataset`函数,并指定数据集的名称和配置。由于数据集仅包含一个默认配置,用户可以直接加载而不需指定配置名称。加载后的数据集可以用于多种用途,如模型评估、训练数据增强或生成模型的进一步优化。通过分析数据集中的生成内容、评分及理由,用户可以深入理解不同模型在特定任务上的表现,从而指导模型的改进和应用。
背景与挑战
背景概述
在自然语言处理(NLP)领域,随着大型语言模型(LLMs)如GPT-4和Meta-Llama-3的快速发展,研究人员和开发者们面临着如何有效评估和优化这些模型性能的挑战。dvilasuero/distillama3-prompts10k-gpt4数据集应运而生,由Argilla团队创建,旨在通过提供一个包含10,000个提示和相应生成文本的数据集,帮助研究者评估和比较不同模型的表现。该数据集的核心研究问题是如何在实际应用中优化和验证这些先进语言模型的性能,从而推动NLP技术的进一步发展。
当前挑战
该数据集在构建过程中面临的主要挑战包括:1) 如何确保生成的提示和响应具有代表性和多样性,以全面评估模型的性能;2) 如何设计有效的评估指标和方法,以准确衡量不同模型在生成文本质量、准确性和相关性方面的表现;3) 如何处理和分析大规模数据,以提取有价值的见解和模式。此外,数据集的实际应用中还需解决模型偏见、伦理问题以及跨语言评估的复杂性等挑战。
常用场景
经典使用场景
在自然语言处理领域,dvilasuero/distillama3-prompts10k-gpt4数据集的经典使用场景主要集中在模型评估与优化。该数据集通过包含指令、生成文本、生成模型及其对应的评分和理由,为研究人员提供了一个全面的基准,用于评估和比较不同语言模型的性能。通过分析这些数据,研究者可以深入了解模型在特定任务上的表现,从而指导模型的进一步优化和改进。
实际应用
在实际应用中,dvilasuero/distillama3-prompts10k-gpt4数据集可用于开发和优化智能助手、聊天机器人等自然语言处理应用。通过利用该数据集进行模型训练和评估,开发者可以提高这些应用的响应准确性和用户满意度。此外,该数据集还可用于自动化内容生成和文本摘要等任务,提升工作效率和内容质量。
衍生相关工作
基于dvilasuero/distillama3-prompts10k-gpt4数据集,研究者们开发了多种相关的经典工作。例如,一些研究通过分析该数据集中的生成文本和评分,提出了新的模型评估指标和优化策略。此外,该数据集还被用于验证和改进现有的自然语言处理模型,推动了相关技术的进步。这些衍生工作不仅丰富了自然语言处理领域的研究内容,也为实际应用提供了有力的技术支持。
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