Dataset Open Access

Simple Dataset for Proof Method Recommendation in Isabelle/HOL

Nagashima, Yutaka

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  <identifier identifierType="DOI">10.5281/zenodo.3819026</identifier>
      <creatorName>Nagashima, Yutaka</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="">0000-0001-6693-5325</nameIdentifier>
      <affiliation>Czech Technical University in Prague, University of Innsbruck</affiliation>
    <title>Simple Dataset for Proof Method Recommendation in Isabelle/HOL</title>
    <subject>Proof Method Recommendation</subject>
    <subject>Machine Learning for Theorem Proving</subject>
    <subject>Tactic Recommendation</subject>
    <date dateType="Issued">2020-05-10</date>
  <resourceType resourceTypeGeneral="Dataset"/>
    <alternateIdentifier alternateIdentifierType="url"></alternateIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3819025</relatedIdentifier>
    <rights rightsURI="">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
    <description descriptionType="Abstract">&lt;p&gt;Recently, a growing number of researchers have applied machine learning to assist users of interactive theorem provers.&lt;/p&gt;

&lt;p&gt;However, the expressive nature of underlying logics and esoteric structures of proof documents impede machine learning practitioners, who often do not have much expertise in formal logic, let alone Isabelle/HOL, from applying their tools and expertise to theorem proving.&lt;/p&gt;

&lt;p&gt;In this data description, we present a simple dataset that contains data on over 400k proof method applications in the Archive of Formal Proofs along with over 100 extracted features for each in a format that can be processed easily without any knowledge about formal logic.&lt;/p&gt;

&lt;p&gt;Our simple data format allows machine learning practitioners to try machine learning tools to predict proof methods in Isabelle/HOL, even if they are unfamiliar with theorem proving.&lt;/p&gt;</description>
    <description descriptionType="Other">The corresponding dataset description paper is under review at the 13th Conference on Intelligent Computer Mathematics (CICM2020). The preprint is available at (</description>
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