buley/cognitive-biases

Cognitive Biases

123 cognitive biases unified from 5 production data sources, plus 17 mechanisms, 24 synonym groups, and 16 antonym pairs as separate configs.

Quick Start

from datasets import load_dataset

# Main bias entries
biases = load_dataset("buley/cognitive-biases", "biases")

# Supporting data
mechanisms = load_dataset("buley/cognitive-biases", "mechanisms")
synonyms = load_dataset("buley/cognitive-biases", "synonyms")
antonyms = load_dataset("buley/cognitive-biases", "antonyms")

Configs

Config	Records	Description
biases	123	Unified bias entries with source provenance
mechanisms	17	Cognitive heuristics that generate derivative biases
synonyms	24	Synonym/alias groups mapping alternative names
antonyms	16	Antonym pairs with flipping mechanisms

Bias Sources

Each bias entry has a source field indicating provenance:

Source	Description
definition	Full definitions with domains, System 1/2, observable markers
mechanism_derivative	Derived from cognitive mechanisms (heuristics)
synonym_alias	Alternative names linked to primary biases
antonym	Bias poles with flipping mechanisms

4-Domain Classification

Domain	Description
TOO_MUCH_INFO	Information filtering and overload
NOT_ENOUGH_MEANING	Pattern-finding and meaning-making
NEED_TO_ACT_FAST	Decision-making shortcuts
WHAT_TO_REMEMBER	Memory formation and recall

Use Cases

• Cognitive bias detection in text
• Decision support and debiasing tools
• Educational and training applications
• Research on judgment and decision-making

Citation

@dataset{buley_cognitive_biases_2026,
  author = {Taylor Buley},
  title = {Cognitive Biases: 123 Biases with Mechanisms, Synonyms & Antonyms},
  year = {2026},
  publisher = {HuggingFace},
  url = {https://huggingface.co/datasets/buley/cognitive-biases},
  license = {CC BY 4.0}
}

License

Creative Commons Attribution 4.0 International (CC BY 4.0)

You are free to share and adapt this dataset for any purpose, even commercially, as long as you give appropriate credit.

About

Published by AFFECTIVELY · Managed by @buley

AFFECTIVELY transforms high-entropy emotional experiences into low-entropy, actionable insights through technical mindfulness.

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