Dataset · Hugging Face

DebateLabKIT/aaac

Name: aaac
Creator: DebateLabKIT
License: cc-by-sa-4.0
Keywords: task_categories:summarization, task_categories:text-retrieval, task_categories:text-generation, task_ids:parsing, task_ids:text-simplification, annotations_creators:machine-generated, annotations_creators:expert-generated, language_creators:machine-generated, multilinguality:monolingual, source_datasets:original, language:en, license:cc-by-sa-4.0, size_categories:10K<n<100K, modality:image, arxiv:2110.01509

Dataset Card for Artificial Argument Analysis Corpus (AAAC) Dataset 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. # clone git lfs clone https://huggingface.co/datasets/debatelab/aaac import pandas as pd from datasets… See the full description on the dataset page: https://huggingface.co/datasets/DebateLabKIT/aaac.

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Author / organization	DebateLabKIT
License (as declared)	cc-by-sa-4.0
Downloads	439 (as reported by Hugging Face)
Likes	8
Created	2 March 2022
Last updated at source	24 October 2022

argument-miningconditional-text-generationstructure-prediction

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