Datasets:
Guilhem Santé
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docs: description for dataset card
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README.md
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pretty_name: liaisons IBM's Claim Stance Dataset Sample
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size_categories:
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- n<1K
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pretty_name: liaisons IBM's Claim Stance Dataset Sample
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size_categories:
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- n<1K
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---
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---
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# Dataset Card for Liaison's IBM Claim Stance Dataset Sample
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## Table of Contents
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- [Dataset Summary](#dataset-summary)
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- [Dataset Structure](#dataset-structure)
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- [Licensing Information](#licensing-information)
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- [Citation Information](#citation-information)
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## Dataset Summary
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The present dataset is a result of processing the [IBM Debater Claim Stance Dataset](https://huggingface.co/datasets/ibm/claim_stance) to create representative samples. The size has been reduced to roughly 100 entries, enabling the benchmarking of models for relation-based argument mining tasks with limited resources.
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The sample also modifies the original dataset to achieve a more balanced plurality of stances and topics, and creates a new "unrelated" class in argument relation (following a simple rule-based data augmentation algorithm). Further details on the preprocessing can be found on [GitHub](https://github.com/coding-kelps/liaisons-preprocess).
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## Dataset Structure
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* parent_argument - The first argument that states a position regarding a topic
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* child_argument - Another argument that is compared to the parent argument
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* relation - The argumentative relation of the child argument to the parent argument. It can either be support/attack in the binary split or support/attack/unrelated in the ternary split
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## Licensing Information
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This work includes data from the following sources:
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* Wikipedia content licensed under CC BY-SA 3.0: [Wikipedia](https://en.wikipedia.org/wiki/Wikipedia:Copyrights#Reusers.27_rights_and_obligations)
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* IBM content licensed under CC BY-SA 3.0: (c) Copyright IBM 2014. Released under [CC-BY-SA 3.0](http://creativecommons.org/licenses/by-sa/3.0/)
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Modifications and preprocessing have been made to the original data. This derivative work is licensed under the same CC BY-SA 3.0 license.
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## Citation Information
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Further information about the original dataset can be found on its original [HuggingFace page](https://huggingface.co/datasets/ibm/claim_stance) and its associated research papers: [Stance Classification of Context-Dependent Claims](https://aclanthology.org/E17-1024/) and [Improving Claim Stance Classification with Lexical Knowledge Expansion and Context Utilization](https://aclanthology.org/W17-5104/).
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