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tags:
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- engineering design
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- knowledge extraction
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tags:
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- engineering design
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- knowledge extraction
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---
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Dataset Copyright - L. Siddharth, Singapore University of Technology and Design, Singapore.
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The dataset includes 375,084 example sentences (187200 positive, 187884 negative), each including a pair of entities and the engineering design relation between these.
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The dataset was manually constructed using sentences in 4,205 patents granted by USPTO, stratified according to 130 classes.
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The dataset is used to train token classification and Seq2Seq transformer models to populate explicit engineering design facts from artefact descriptions.
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More details in the following paper.
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Siddharth, L., Luo, J., 2024. Retrieval-Augmented Generation using Engineering Design Knowledge. arXiv (cs.CL) https://arxiv.org/abs/2307.06985.
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In each example,
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The input is a pair of entities is marked in a sentence using {HEAD ~ ...} and {TAIL ~ ...} notations.
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The output is the relation between the pair of entities as identified using actual tokens in the sentence. If there is no relation, the output in None.
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The dataset could be used to train Seq2Seq models, i.e., marked sentence --> relation.
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The dataset could also be used to train token classification models, i.e., tokenized marked sentence --> token tags.
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For more information, please write to siddharthl.iitrpr.sutd@gmail.com
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