Tanvir1337/fakescience

--- license: cdla-sharing-1.0 pretty_name: FakeScience tags: - GPT-3.5 - GPT-4 - Claude - Bard - Alpaca - LLaMA - LLaMA-2 - Vicuna - PaLM-2 language: - en size_categories: - 1K<n<10K --- # FakeScience [JSON dataset] A dataset comprising artificially generated fictitious scientific theories, concepts, facts, laws and hypotheses, derived from a diverse array of Large Language Models (LLMs) such as GPT-3.5, GPT-4, Claude, Bard, Alpaca, LLaMA, LLaMA-2, Vicuna, and PaLM-2. ## Dataset Contents The dataset includes fictitious scientific entries, each with a unique concept, fact, hypothesis, law and theory, along with a brief yet imaginative description. These entries are entirely fictional and should not be mistaken for real scientific knowledge. ## Prompt The prompt used: ```json Generate a JSON-formatted list of fictitious scientific entries, each comprising with a title, a description, and an assigned type (concept, fact, hypothesis, law, or theory). All the entries should be crafted to appear logically plausible, creating an illusion of scientific credibility. Adhere to the specified structure: '''json [ { "title": "...", "description": "...", "type": "concept" }, { "title": "...", "description": "...", "type": "fact" }, { "title": "...", "description": "...", "type": "hypothesis" }, { "title": "...", "description": "...", "type": "law" }, { "title": "...", "description": "...", "type": "theory" } ] ''' ``` ## Disclaimer Please note that while I strive to maintain data quality, I cannot guarantee the accuracy or quality of all entries in this dataset. Use it responsibly and exercise caution when relying on the data for any critical applications. Your feedback and contributions are greatly appreciated for improving the dataset's overall quality.license: cdla-sharing-1.0 pretty_name: FakeScience tags: - GPT-3.5 - GPT-4 - Claude - Bard - Alpaca - LLaMA - LLaMA-2 - Vicuna - PaLM-2 language: 英语 size_categories: - 1K<n<10K --- # FakeScience [JSON数据集] 本数据集由各类大语言模型（Large Language Models，LLMs）生成的人工虚构科学理论、概念、事实、定律与假说组成，涉及的模型包括GPT-3.5、GPT-4、Claude、Bard、Alpaca、LLaMA、LLaMA-2、Vicuna及PaLM-2。 ## 数据集内容 本数据集包含虚构科学条目，每条条目均包含唯一的概念、事实、假说、定律或理论，以及一段简洁且富有想象力的描述。所有条目均为虚构内容，切勿误认为真实科学知识。 ## 提示词 所用提示词如下： json 生成一份虚构科学条目的JSON格式列表，每条条目需包含标题、描述及指定类型（概念、事实、假说、定律或理论）。所有条目需逻辑自洽，营造出具备科学可信度的假象。 请遵循以下格式： '''json [ { "title": "...", "description": "...", "type": "concept" }, { "title": "...", "description": "...", "type": "fact" }, { "title": "...", "description": "...", "type": "hypothesis" }, { "title": "...", "description": "...", "type": "law" }, { "title": "...", "description": "...", "type": "theory" } ] ''' ## 免责声明 请注意，尽管我方致力于保障数据质量，但无法保证本数据集所有条目的准确性与品质。请负责任地使用本数据集，在将其用于任何关键应用时需谨慎行事。感谢您的反馈与贡献，这将有助于提升本数据集的整体质量。

原始信息汇总

FakeScience [JSON 数据集]

概述

FakeScience 数据集包含由多种大型语言模型（如 GPT-3.5、GPT-4、Claude、Bard、Alpaca、LLaMA、LLaMA-2、Vicuna 和 PaLM-2）生成的人工虚构科学理论、概念、事实、定律和假设。

数据集内容

该数据集包括虚构的科学条目，每个条目都有一个独特的概念、事实、假设、定律和理论，以及一个简短但富有想象力的描述。这些条目完全是虚构的，不应被误认为是真实的科学知识。

提示

使用的提示如下： json 生成一个 JSON 格式的虚构科学条目列表，每个条目包括一个标题、一个描述和一个分配的类型（概念、事实、假设、定律或理论）。所有条目都应制作成逻辑上看似合理，创造出科学可信度的假象。

遵循指定的结构：

json [ { "title": "...", "description": "...", "type": "concept" }, { "title": "...", "description": "...", "type": "fact" }, { "title": "...", "description": "...", "type": "hypothesis" }, { "title": "...", "description": "...", "type": "law" }, { "title": "...", "description": "...", "type": "theory" } ]

免责声明

请注意，虽然我努力保持数据质量，但我无法保证此数据集中所有条目的准确性或质量。请负责任地使用该数据，并在依赖数据进行任何关键应用时保持谨慎。您的反馈和贡献对于提高数据集的整体质量非常宝贵。