Artificial Argument Analysis Corpus
- Type
- dataset
- Venue
- DebateLabKIT
- Year
- 2026
- Source
- huggingface
- Access
- free
- Language
- en
- Added
- 2026-07-17T20:03:41.676592+00:00
- Verified
- 2026-07-17T20:03:41.676592+00:00
Summary
DeepA2 is a modular framework for deep argument analysis. DeepA2 datasets contain comprehensive logical reconstructions of informally presented arguments in short argumentative texts. This document describes two synthetic DeepA2 datasets for artificial argument analysis: AAAC01 and AAAC02.
Keywords
hf-dataset summarization · -language-modeling parsing text-simplification machine-generated expert-generated monolingual original image argument-mining conditional-text-generation structure-prediction has-paper
Topics
Summarization, Language Modeling
Research notes
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