datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
DEBATE
DEBATE: Diverse Multi-Agent Debates
This dataset is presented in the paper "MALLM: Multi-Agent Large Language Models Framework".
Citation
comming soon.
debate-argumentation-sft-100k
Debate & Argumentation SFT (100K)
100,000 ShareGPT conversations covering persuasive writing, steel-manning, rebuttal, policy analysis, and Socratic dialogue. Each example trains models to construct well-structured arguments, anticipate counterarguments, and engage in rigorous intellectual discourse.
Motivation
A persistent gap in LLM capabilities is the ability to reason and argue well — not just describe positions, but construct arguments with premises, evidence… See the full description on the dataset page: https://huggingface.co/datasets/stindardlogic/debate-argumentation-sft-100k.argunauts-hirpo-preferences
Argunauts HIRPO Preferences
Preference pairs generated while training Argunaut models with HIRPO Online DPO.