Datasets › AAAC

AAAC (Artificial Argument Analysis Corpus)

Introduced by Gregor Betz et al. in DeepA2: A Modular Framework for Deep Argument Analysis with Pretrained Neural Text2Text Language Models4 Oct 2021 archive 2025-07-28

DeepA2 is a modular framework for deep argument analysis. DeepA2 datasets contain comprehensive logical reconstructions of informally presented arguments in short argumentative texts. This item references two two synthetic DeepA2 datasets for artificial argument analysis: AAAC01 and AAAC02.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

2 loaders as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

No task tagged in the archive.

License archive 2025-07-28

cc-by-sa-4.0

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

Variants archive 2025-07-28

  • AAAC

1 variant name, as the archive lists them.

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