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Column name '-module(module1). -export([main/0, stomach/3, worm/3]). %BEGIN worm(K) when length(K) > 0 -> P = lists:subtract([[108]], [0]), F = length(tl(P) ++ lists:zip([true], [[116]])), lists:min([true]), U = element(tuple_size(stomach([], [true], 0)), {element(0, {})}), lists:sum([[122]]), lists:reverse([[108]]), X = tuple_size({}), S = stomach([], [false], 0), tuple_to_list(S) %END . %BEGIN stomach(U) -> case U of 0 -> S = ele...' is too long. It should be less than 500 characters.
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This repository contains the dataset used for training a proof-of-concept method for refactoring nonidiomatic Erlang code.

This is the implementation of the presented method in the following paper:
Balázs Szalontai, Péter Bereczky and Dániel Horpácsi, "Deep Learning-Based Refactoring with Formally Verified Training Data",
Infocommunications Journal, Special Issue on Applied Informatics, 2023, pp. 2-8, https://doi.org/10.36244/ICJ.2023.5.1

The implementation of the method can be accessed on GitHub here.

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