Omkar2118/datasets huggingface dataset:
TwinViews-13k

TwinViews-13k is a dataset of 13,855 pairs of left-leaning and right-leaning political statements, each pair matched by topic. It was created to study political bias in reward and language models, with a focus on understanding the interaction between model alignment to truthfulness and the emergence of political bias. The dataset was generated using GPT-3.5 Turbo, with extensive auditing to ensure ideological balance and topical relevance. This dataset can be used for various tasks related to political bias, natural language processing, and model alignment, particularly in studies examining how political orientation impacts model outputs.

Introducing paper: On the Relationship between Truth and Political Bias in Language Models
TruthGen

TruthGen is a dataset of generated true and false statements, intended for research on truthfulness in reward models and language models, specifically in contexts where political bias is undesirable. This dataset contains 1,987 statement pairs (3,974 statements in total), with each pair containing one objectively true statement and one false statement. It spans a variety of everyday and scientific facts, excluding politically charged topics to the greatest extent possible. The dataset is particularly useful for evaluating reward models trained for alignment with truth, as well as for research on mitigating political bias while improving model accuracy on truth-related tasks.

Introducing paper: On the Relationship between Truth and Political Bias in Language Models