<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>

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[1] Jieping Liu, "Text2RDF: LLM Fine-tuning Dataset for NER and RE", IEEE Dataport, 2024. [Online]. Available: http://dx.doi.org/10.21227/mp21-2449. Accessed: Dec. 08, 2024.
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doi = {10.21227/mp21-2449},
url = {http://dx.doi.org/10.21227/mp21-2449},
author = {Jieping Liu },
publisher = {IEEE Dataport},
title = {Text2RDF: LLM Fine-tuning Dataset for NER and RE},
year = {2024} }
TY - DATA
T1 - Text2RDF: LLM Fine-tuning Dataset for NER and RE
AU - Jieping Liu
PY - 2024
PB - IEEE Dataport
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Jieping Liu. (2024). Text2RDF: LLM Fine-tuning Dataset for NER and RE. IEEE Dataport. http://dx.doi.org/10.21227/mp21-2449
Jieping Liu, 2024. Text2RDF: LLM Fine-tuning Dataset for NER and RE. Available at: http://dx.doi.org/10.21227/mp21-2449.
Jieping Liu. (2024). "Text2RDF: LLM Fine-tuning Dataset for NER and RE." Web.
1. Jieping Liu. Text2RDF: LLM Fine-tuning Dataset for NER and RE [Internet]. IEEE Dataport; 2024. Available from : http://dx.doi.org/10.21227/mp21-2449
Jieping Liu. "Text2RDF: LLM Fine-tuning Dataset for NER and RE." doi: 10.21227/mp21-2449