cognitive-bias
cognitive-biases-in-llms
A Comprehensive Evaluation of Cognitive Biases in LLMs: Dataset
Dataset for evaluating cognitive biases in large language models
1. Dataset Card Overview
A tabular dataset for measuring the presence and strength of cognitive biases in large language models (LLMs), introduced in the paper “A Comprehensive Evaluation of Cognitive Biases in LLMs” by Malberg et al.
Paper | Code
This dataset is intended only for the evaluation of LLMs and not to be used for… See the full description on the dataset page: https://huggingface.co/datasets/tum-nlp/cognitive-biases-in-llms.pricing_and_cognitive_bias_experiment
Pricing and Cognitive-Bias Digital-Twin Experiments
This dataset contains reproducibility artifacts for the pricing and
cognitive-bias experiments associated with From Survey Histories to
Interpretable Digital Twins: Auto-Discovering Task-Specific Personas and
Behavioral Mechanisms.
Contents
pricing_experiment_artifacts.tar.gz: pricing double-holdout inputs,
simulator outputs, cases, metrics, controls, registries, split manifest,
frozen candidate, and… See the full description on the dataset page: https://huggingface.co/datasets/Mike-deng-2002/pricing_and_cognitive_bias_experiment.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 =… See the full description on the dataset page: https://huggingface.co/datasets/buley/cognitive-biases.cognitive_bias
Load datasets
dataset_framing = load_dataset("jecht/cognitive_bias", data_files={"framing_bias": "framing_bias/frame.csv"})
dataset_ga = load_dataset("jecht/cognitive_bias", data_files={"ga_bias": "group_attribution/ga.csv"})
dataset_sq = load_dataset("jecht/cognitive_bias", data_files={"sq_bias": "status_quo/sq.csv"})
dataset_anchoring = load_dataset("jecht/cognitive_bias", data_files={"anchoring_bias": "anchoring/students.csv"})