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Published September 1, 2022 | Version v2.0
Dataset Open

IRJIT dataset

Authors/Creators

  • anonymous1
  • 1. anonymous

Description

dataset of our paper IRJIT: An information retrieval approach for JIT defect identification

Files

readme.md

Files (20.6 MB)

Name Size Download all
readme.md
md5:6b1986278c34a86557bba4419b59db91
4.6 kB Preview Download
replication_package.zip
md5:41d77485d69315ad8dfbaf065ea333f7
20.6 MB Preview Download
134
Views
53
Downloads
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Views

Total views

134 134
Downloads

Total downloads

53 53
Data volume

Total data volume

493.5 MB 493.5 MB

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Versions

External resources

Indexed in
  • OpenAIRE

Communities

Details

DOI
10.5281/zenodo.7042426
DOI Badge

DOI

10.5281/zenodo.7042426

Markdown

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.7042426.svg)](https://doi.org/10.5281/zenodo.7042426)

reStructuredText

.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.7042426.svg
  :target: https://doi.org/10.5281/zenodo.7042426

HTML

<a href="https://doi.org/10.5281/zenodo.7042426"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.7042426.svg" alt="DOI"></a>

Image URL

https://zenodo.org/badge/DOI/10.5281/zenodo.7042426.svg

Target URL

https://doi.org/10.5281/zenodo.7042426
Resource type
Dataset
Publisher
Zenodo

Rights

License
cc-by-4.0 icon Creative Commons Attribution 4.0 International
The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. Read more

Citation

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Technical metadata

Created
September 2, 2022
Modified
September 2, 2022

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