JOURNAL ARTICLE

Code Execution with Pre-trained Language Models

Anonymous

Year: 2023 Journal:   Zenodo (CERN European Organization for Nuclear Research)   Publisher: European Organization for Nuclear Research

Abstract

We provide the datasets for reproducing the experiments in "Code Execution with Pre-trained Language Models", including: singleline_test.json: The test set of SingleLine dataset for code execution task. tutorial_test.json: The test set of Tutorial dataset for code execution task. codenetmut_test.json: The test set of CodeNetMut dataset for code execution task. code_to_code_search_test.json: The test set for code-to-code search task. code_to_code_search_preds.txt: The prediction result on code-to-code search task.

Keywords:
Set (abstract data type) Code (set theory) Test set Test (biology) Object code Source code Execution model Test case

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Topics

Software Engineering Research
Physical Sciences →  Computer Science →  Information Systems
Topic Modeling
Physical Sciences →  Computer Science →  Artificial Intelligence
Natural Language Processing Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence
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