SeSaMe: A Data Set of Semantically Similar Java Methods

doi:10.5281/zenodo.2558378

Published February 6, 2019 | Version v1

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SeSaMe: A Data Set of Semantically Similar Java Methods

1. Friedrich-Alexander University Erlangen-Nürnberg (FAU)

This is the data set presented in the paper

Kamp, M., Kreutzer P., Philippsen M.: SeSaMe: A Data Set of Semantically
Similar Java Methods. 16th International Conference on Mining Software
Repositories (MSR 2019), Montreal, QC, Canada. 2019

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sampled-pairs.csv

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dataset-unfiltered.json.xz md5:21e4d6df9ba1f603b7cd8abde1076bdc	71.3 kB	Download
dataset.json.xz md5:72d445e7edae2331027ab2421632e912	68.3 kB	Download
docs.db.xz md5:85b1fcd342ee47bde3bd6c0be3397bf7	543.3 MB	Download
sampled-pairs.csv md5:647857348a09671aaca586a038165c3f	304.1 kB	Preview Download

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Zenodo

Creative Commons Attribution 4.0 International

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Created: February 6, 2019
Modified: January 30, 2024

SeSaMe: A Data Set of Semantically Similar Java Methods

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Files

sampled-pairs.csv

Files (543.7 MB)