intel / intel/predictive-maintenance-pipeline

Request to add attribution for Pipeline Defect Dataset (DOI: 10.34740/KAGGLE/DS/5294466)

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Description

Hi team, I noticed that the datasets/pipeline_defects_detection folder schema and classes directly mirror the Pipeline Defect Dataset I created and host on Kaggle (DOI: 10.34740/kaggle/ds/5294466). I am incredibly excited to see this data structure supporting an Agentic Edge AI project! Could we add a quick line to the datasets/README.md or references citing the original Kaggle dataset to help other researchers trace the data origins?" i will be very happy if you cite me. as you know you are from intel .
@misc{mir_md_musleh_uddin_shaeek_2024,
title={Pipeline Defect Dataset},
url={https://www.kaggle.com/ds/5294466},
DOI={10.34740/KAGGLE/DS/5294466},
publisher={Kaggle},
author={Mir Md Musleh Uddin Shaeek},
year={2024}
}

Contributor guide

Open the contributing guide

Research direction

Update datasets/README.md or the repository references section with attribution for the Pipeline Defect Dataset. Use the supplied Kaggle URL, DOI, author, title, publisher, and year; the work is done when the dataset origin and creator are clearly cited for researchers.

Written by the indexing model from the issue text.

Assessment

Domain
documentation
Issue type
Documentation
Difficulty
1/5
Estimated time
Under an hour
Activity status
Quiet
Clarity
Clearly specified
Newbie friendliness
82/100

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