Published February 13, 2025 | Version public
Dataset Open

Data for "Segmentation of Argumentative Texts by Key Statements for Argument Mining from the Web"

Authors/Creators

  • 1. ROR icon Friedrich Schiller University Jena
  • 2. ROR icon Bauhaus-Universität Weimar

Description

Data for the paper "Segmentation of Argumentative Texts by Key Statements for Argument Mining from the Web". 

Contains the input arguments (as text or HTML), segments created by GPT-4 and PaLM, the ground truth key statements and the PaLM segments manually matched to the ground truth key statements.

Files

arguments_txt.csv

Files (608.6 kB)

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md5:d68e98709dad90db6d662045f2d060db
159.8 kB Preview Download
md5:8fe579b77acd9d11c24e17511dc8900c
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md5:c98837e4ccc703ee1df46dee5d13bec1
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md5:4caae9cee74bef72c23d953753e596e8
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md5:8afa0c77c01bacf412b7a15d45dd12d8
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md5:f59dd4c5dd5c0cf9da7168e3bb1ef633
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Additional details

Funding

European Commission
OpenWebSearch.EU - Piloting a Cooperative Open Web Search Infrastructure to Support Europe's Digital Sovereignty 101070014

Dates

Created
2025-02-13
Updated
2025-06-19
de-anonymization

Software

Repository URL
https://github.com/webis-de/argmining25-argument-segmentation
Programming language
Python