Text2RDF: LLM Fine-tuning Dataset for NER and RE

Citation Author(s):
Jieping
Liu
Submitted by:
jieping liu
Last updated:
Sat, 08/17/2024 - 11:15
DOI:
10.21227/mp21-2449
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Abstract 

<p class="MsoNormal"><span lang="EN-US">The Text2RDF dataset is primarily designed to facilitate the transformation from text to RDF. It contains 1,000 annotated text segments, encompassing a total of 7,228 triplets. Utilizing this dataset to fine-tune large language models enables the models to extract triplets from text, which can ultimately be used to construct knowledge graphs.&nbsp;</span></p>

Instructions: 

The Text2RDF dataset is primarily designed to facilitate the transformation from text to RDF. It contains 1,000 annotated text segments, encompassing a total of 7,228 triplets. Utilizing this dataset to fine-tune large language models enables the models to extract triplets from text, which can ultimately be used to construct knowledge graphs.