debate
Datasets
All datasets matching “debate”oireachtas-debatesDebateCardsaaac
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.Chinese_Debate_Documents
Dataset Card for Chinese Debate Documents
ASR-transcribed corpus of competitive Mandarin Chinese university debates,
speaker-segmented and timestamped, with topic / round / team metadata parsed
from the source filenames.
Loading the Dataset
from datasets import load_dataset
ds = load_dataset("DBWBD/Chinese_Debate_Documents", split="train")
print(ds[0]["topic"], "—", ds[0]["team_a"], "vs", ds[0]["team_b"])
for seg in ds[0]["segments"][:3]:
print(f"… See the full description on the dataset page: https://huggingface.co/datasets/DBWBD/Chinese_Debate_Documents.DEBATE
DEBATE: Diverse Multi-Agent Debates
This dataset is presented in the paper "MALLM: Multi-Agent Large Language Models Framework".
Citation
comming soon.
deepa2
deepa2 Datasets Collection
Dataset Summary
This is a growing, curated collection of deepa2 datasets, i.e. datasets that contain comprehensive logical analyses of argumentative texts. The collection comprises:
datasets that are built from existing NLP datasets by means of the deepa2 bake tool.
original deepa2 datasets specifically created for this collection.
The tool deepa2 serve may be used to render the data in this collection as text2text examples.… See the full description on the dataset page: https://huggingface.co/datasets/DebateLabKIT/deepa2.