cff-version: 1.2.0
abstract: "<p>This repo contains all code and data associated with the paper "It Is Like Finding a Polar Bear in the Savannah! Concept-level AI Explanations with Analogical Inference from Commonsense Knowledge." The dataset mainly contains generated analogies and expert evaluations from five colleagues in TU Delft. Our experimental results indicate that the proposed qualitative dimensions can positively contribute to the perceived helpfulness of analogy-based explanations.</p>"
authors:
  - family-names: He
    given-names: Gaole
    orcid: "https://orcid.org/0000-0002-8152-4791"
  - family-names: Balayn
    given-names: Agathe
  - family-names: Buijsman
    given-names: Stefan
  - family-names: Yang
    given-names: Jie
    orcid: "https://orcid.org/0000-0002-0350-0313"
  - family-names: Gadiraju
    given-names: Ujwal
    orcid: "https://orcid.org/0000-0002-6189-6539"
title: "Analogy-based explanation evaluation dataset for HCOMP 2022 paper &#34;It Is Like Finding a Polar Bear in the Savannah! Concept-level AI Explanations with Analogical Inference from Commonsense Knowledge.&#34;"
keywords:
version: 1
identifiers:
  - type: doi
    value: 10.4121/de1df5c0-5430-40f9-ba9a-ba0d1f415f28.v1
license: CC BY 4.0
date-released: 2025-02-06