argumentation
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.multiturn-legal-argumentation
Dataset Card for Multi-Turn Legal Argumentation
Dataset Description
Multi-Turn Legal Argumentation is a legal reasoning dataset designed for supervised fine-tuning of language models acting as judges in a moot court simulator.
Each example represents a turn in a courtroom-style argumentation process, where a judge evaluates arguments presented by either the petitioner or respondent and produces structured feedback, score updates, courtroom responses, and internal… See the full description on the dataset page: https://huggingface.co/datasets/snowsadh/multiturn-legal-argumentation.film_review_argumentationAnnotation
This is a dataset of Kinopoisk film reviews from top-250 and bottom-100 films (2004-2012). This dataset is based on the data found in blinoff/kinopoisk [Blinov et al., 2013].
1084 negative reviews, 1098 positive reviews and 1098 neutral reviews were selected from the initial dataset (based on grade3). Then, the amount of arguments in a given review praising the film (column for) and criticizing the film (column against) was manually written down.
Afterwards, the column arg_label… See the full description on the dataset page: https://huggingface.co/datasets/otipl2125/film_review_argumentation.legal_argumentation_Llama-2legal_argumentation_Llama-2_5SData-Argumentation-CoLA