id stringlengths 9 24 | opposite stringlengths 9 24 | flipping_mechanism stringclasses 10 values | context stringlengths 57 101 |
|---|---|---|---|
Optimism_Bias | Pessimism_Bias | Emotional State: Depression/Anxiety levels (Depressive Realism) | When user shows signs of depression or anxiety, flip Optimism to Pessimism |
Pessimism_Bias | Optimism_Bias | Emotional State: Low depression/anxiety, positive mood | When user shows positive mood and low anxiety, flip Pessimism to Optimism |
Neophilia | Status_Quo_Bias | Personality Trait: Openness to Experience (Big Five) | Low openness β Status Quo Bias; High openness β Neophilia |
Status_Quo_Bias | Neophilia | Personality Trait: Openness to Experience (Big Five) | High openness β Neophilia; Low openness β Status Quo Bias |
Gamblers_Fallacy | Hot_Hand_Fallacy | Perception of Agency: Random (Gambler's) vs. Skill-based (Hot Hand) | Perceived randomness β Gambler's Fallacy; Perceived skill β Hot Hand Fallacy |
Hot_Hand_Fallacy | Gamblers_Fallacy | Perception of Agency: Random (Gambler's) vs. Skill-based (Hot Hand) | Perceived skill β Hot Hand Fallacy; Perceived randomness β Gambler's Fallacy |
Spotlight_Effect | Illusion_of_Transparency | Focus: External/Behavioral vs. Internal/Mental state | Focus on external attention β Spotlight Effect; Focus on internal thoughts β Illusion of Transparency |
Illusion_of_Transparency | Spotlight_Effect | Focus: External/Behavioral vs. Internal/Mental state | Focus on internal thoughts β Illusion of Transparency; Focus on external attention β Spotlight Effect |
Halo_Effect | Horns_Effect | Valence: Initial impression positive vs. negative | Positive initial impression β Halo Effect; Negative initial impression β Horns Effect |
Horns_Effect | Halo_Effect | Valence: Initial impression positive vs. negative | Negative initial impression β Horns Effect; Positive initial impression β Halo Effect |
Overconfidence_Effect | Hard_Easy_Effect | Task Difficulty: Overconfident on hard tasks, underconfident on easy tasks | Hard tasks β Overconfidence; Easy tasks β Underconfidence (Hard-Easy Effect) |
Hard_Easy_Effect | Overconfidence_Effect | Task Difficulty: Overconfident on hard tasks, underconfident on easy tasks | Easy tasks β Underconfidence; Hard tasks β Overconfidence |
Self_Serving_Bias | Impostor_Syndrome | Self-Esteem: High self-esteem vs. Low self-esteem | High self-esteem β Self-Serving Bias; Low self-esteem β Impostor Syndrome |
Negativity_Bias | Positivity_Effect | Emotional State: Threat detection vs. Emotion regulation | Threat-focused β Negativity Bias; Emotion regulation β Positivity Effect |
Positivity_Effect | Negativity_Bias | Emotional State: Threat detection vs. Emotion regulation | Emotion regulation β Positivity Effect; Threat-focused β Negativity Bias |
Impostor_Syndrome | Self_Serving_Bias | Self-Esteem: Low self-esteem vs. High self-esteem | Low self-esteem β Impostor Syndrome; High self-esteem β Self-Serving Bias |
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 Β· Managed by @buley
AFFECTIVELY transforms high-entropy emotional experiences into low-entropy, actionable insights through technical mindfulness.
- All datasets Β· All models Β· GitHub Β· Edgework.ai
- Downloads last month
- 7