Dataset Open Access
{ "publisher": "Zenodo", "DOI": "10.5281/zenodo.3819026", "title": "Simple Dataset for Proof Method Recommendation in Isabelle/HOL", "issued": { "date-parts": [ [ 2020, 5, 10 ] ] }, "abstract": "<p>Recently, a growing number of researchers have applied machine learning to assist users of interactive theorem provers.</p>\n\n<p>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.</p>\n\n<p>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.</p>\n\n<p>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.</p>", "author": [ { "family": "Nagashima, Yutaka" } ], "note": "The corresponding dataset description paper is under review at the 13th Conference on Intelligent Computer Mathematics (CICM2020). The preprint is available at arXiv.org (https://arxiv.org/abs/2004.10667)", "type": "dataset", "id": "3819026" }
All versions | This version | |
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Views | 80 | 80 |
Downloads | 12 | 12 |
Data volume | 1.5 GB | 1.5 GB |
Unique views | 70 | 70 |
Unique downloads | 11 | 11 |