size_categories:1K<n<10K language:en license:cdla-sharing-1.0 GPT-3.5 GPT-4 Claude Bard Alpaca LLaMA LLaMA-2 Vicuna PaLM-2 region:us
---
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:

```txt
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.
