---
license: openrail
task_categories:
- text2text-generation
- audio-to-audio
- text-classification
- text-generation
language:
- pl
- en
tags:
- not-for-all-audiences
pretty_name: Truth seeker
size_categories:
- 10B<n<100B
---
# Dataset Card for Dataset Name
conspiracy
# Dataset Summary
The Conspiracy dataset is a curated collection of philosophical discussions, conspiracy theories, alternative history narratives, and metaphysical explorations. Designed to serve as a foundation for AI models that analyze unconventional perspectives, this dataset blends deep analytical thinking with speculative reasoning. It supports text generation, text classification, and multi-language text-based interactions in English and Polish.
## Dataset Details

### Dataset Description
This dataset is designed for applications in philosophy, conspiracy theories, and alternative viewpoints. It includes structured dialogues, Q&A formats, long-form narratives, and analytical breakdowns of controversial or unconventional ideas. Topics include:

Philosophy: Existentialism, metaphysics, epistemology, ethics.

Conspiracy Theories: Secret societies, hidden histories, government cover-ups, Antarctica/Ice Wall, UFOs, deep-state agendas.

Alternative History: Reinterpretations of historical events, suppressed discoveries, lost civilizations.

Metaphysics and Esoteric Knowledge: Law of attraction, vibrational energy, water memory, sacred geometry.

Electromagnetic Consciousness: Theories on thought frequencies, external amplification of emotions, and mind influence.



- **Curated by:** [Michal]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** MIT License

### Dataset Sources [optional]

<!-- Provide the basic links for the dataset. -->

- **Repository:** [https://huggingface.co/datasets/conspiracy]
- **Paper [optional]:** [https://dn790001.ca.archive.org/0/items/illuminatus-trilogy-ebook/Illuminatus%20TRILOGY%20EBOOK.pdf, https://archive.org/stream/DinahSheltonEncyclopediaOfGenocideAndCrimesAgainstHumanityVolumeONE/Dinah_Shelton_Encyclopedia_of_Genocide_and_Crimes_against_Humanity_Volume_ONE_djvu.txt]
- **Demo [optional]:** [More Information Needed]

## Uses

<!-- Address questions around how the dataset is intended to be used. -->

### Direct Use

-Training AI assistants with philosophical and alternative viewpoints.

-Enhancing LLM-based analysis of non-mainstream narratives.

-Assisting research into esoteric and suppressed knowledge.

-Creating synthetic dialogues about complex or hidden topics.


### Out-of-Scope Use

-Scientific applications requiring strictly empirical verification.

-Generating misleading or harmful misinformation.

-Promoting extremism or baseless fearmongering.


## Dataset Structure

Dataset Structure
Data Fields
Each entry consists of:

Question / Prompt: A philosophical or conspiratorial query.

Response: An analytical or speculative answer.

Source Type: (Philosophy, Conspiracy, Metaphysics, etc.)

Language: English (en) or Polish (pl).

Example Entry:

"question": "Is there evidence of civilizations beyond the Ice Wall?",
"response": "While mainstream geography asserts Antarctica is an uninhabitable continent, certain theories propose that vast undiscovered lands exist beyond an enormous ice barrier. These lands could house ancient civilizations, remnants of pre-flood societies, or even advanced breakaway civilizations protected by global secrecy.",
"source_type": "Conspiracy",
"language": "en"




## Dataset Creation

### Curation Rationale
The dataset is created to support AI applications in unconventional inquiry, particularly for philosophical discourse and alternative research perspectives. The goal is not to promote misinformation but to provide a balanced and structured analysis of speculative ideas.


### Source Data

The dataset is built using:

-Curated Texts: Philosophical essays, conspiracy discussions, alternative history books.

-Synthetic Dialogues: AI-generated Q&A based on structured prompts.

-Community Contributions: Discussions from forums and research groups.

#### Data Collection and Processing

<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->

[More Information Needed]

#### Who are the source data producers?

Philosophers, researchers, and alternative history enthusiasts.

AI-assisted synthesis of speculative discussions.


### Annotations [optional]

<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->

#### Annotation process

<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->

[More Information Needed]

#### Who are the annotators?

<!-- This section describes the people or systems who created the annotations. -->

[More Information Needed]

#### Personal and Sensitive Information

This dataset does not contain personally identifiable information (PII) such as names, addresses, or financial details. However, some topics covered—such as political views, religious beliefs, and alternative historical interpretations—may be considered sensitive. Efforts have been made to ensure that discussions remain analytical and speculative rather than promoting harmful or misleading narratives.



## Bias, Risks, and Limitations

Biases
The dataset includes a mix of philosophical, speculative, and conspiratorial content. Some topics may reflect subjective viewpoints rather than objective truths.
Selection bias may exist due to the dataset’s focus on alternative perspectives rather than mainstream scientific consensus.
The dataset may favor perspectives that resonate with metaphysical or alternative history communities.
Risks
Users should be aware that certain conspiracy theories can be linked to misinformation or pseudoscience. This dataset is meant for analytical exploration rather than validation of these theories.
Misinterpretation of speculative content as factual information could contribute to the spread of misleading narratives.
Some discussions may include controversial topics that require careful handling to avoid reinforcing harmful beliefs.
Limitations
The dataset does not claim to provide verifiable historical facts but rather presents alternative interpretations.
It is not suitable for scientific research that demands strict empirical validation.
Some areas of discussion may lack mainstream academic sources, relying instead on community discussions, esoteric texts, or theoretical arguments.

Selection Bias
The dataset is curated with a focus on alternative viewpoints, conspiracy theories, and esoteric knowledge, which may inherently introduce a selection bias. It prioritizes unconventional perspectives over mainstream academic or scientific consensus, leading to an emphasis on speculative and philosophical interpretations rather than empirical verification.

Confirmation Bias
Since the dataset contains discussions from sources that often challenge official narratives, it may reinforce specific worldviews rather than presenting balanced counterarguments. While efforts have been made to include multiple perspectives, certain topics may lean towards interpretations that validate pre-existing beliefs in conspiracy theories or alternative history.

Cultural and Linguistic Bias
The dataset primarily features English and Polish content, which may reflect Western and Slavic perspectives more prominently than those from other cultures.
Alternative theories often emerge from specific cultural, historical, or geopolitical contexts, which can influence how events and ideas are framed.
Epistemic Bias
Many of the ideas in the dataset rely on subjective interpretation, intuition, and anecdotal evidence rather than formal empirical studies.
The nature of speculative knowledge means that logical rigor and evidentiary standards can vary across different entries.
Mitigation Strategies
Users should be encouraged to cross-reference the dataset’s claims with mainstream sources and critical analyses.
AI models trained on this dataset should be fine-tuned with diverse datasets to prevent overfitting to speculative narratives.
Implementing bias-detection mechanisms can help identify when a response leans too heavily into unverified or one-sided perspectives.

### Recommendations



Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.

## Citation [optional]

<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->

**BibTeX:**

conspiracy_dataset,
  author       = hary0101,
  title        = Conspiracy Dataset: A Collection of Alternative Perspectives, Conspiracy Theories, and Metaphysical Explorations,
  year         = 2025,
  url          = https://huggingface.co/datasets/conspiracy,
  note         = Curated dataset focusing on philosophy, conspiracy theories, alternative history, and metaphysics.




**APA:**
hary0101. (2025). Conspiracy Dataset: A Collection of Alternative Perspectives, Conspiracy Theories, and Metaphysical Explorations. Retrieved from https://huggingface.co/datasets/conspiracy


## Glossary [optional]

<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->

[More Information Needed]

## More Information [optional]

[More Information Needed]

## Dataset Card Authors [optional]

[More Information Needed]

## Dataset Card Contact
smartcrew4you@gmail.com

[More Information Needed]