FusionKnowledge_CategorisedEntities
| dc.contributor.author | Loreti, Andrea | |
| dc.contributor.author | Chen, Kesi | |
| dc.contributor.author | George, Ruby | |
| dc.contributor.author | Firth, Robert | |
| dc.contributor.author | Agnello, Adriano | |
| dc.contributor.author | Tanaka, Shinnosuke | |
| dc.date.accessioned | 2026-03-11T10:34:01Z | |
| dc.date.issued | 2026-03-11 | |
| dc.description.abstract | - Dataset Description This dataset contains categorised entities relevant to nuclear fusion energy. - Data Source Entities were extracted from 8358 scientific abstracts from journal articles related to nuclear fusion energy and associated metadata such as: authors, keywords, publication year and scholarly citation count. Data sources were identified by accessing the archive of scholarly publications at www.lens.org via dedicated API. We used Llama3.1 or Llama 3.3 by Meta, deployed on Amazon Web Services (AWS) equipped with 405 and 70 billion parameters, respectively (meta.llama3-1-405b-instruct-v1:0 and meta.llama3-3-70b-instruct-v1:0). - Data Structure and Size Data are in json format. Total size 55MB. - Intended Use This dataset is intended for: i) construction of a knowledge graph or ontology, ii) Named Entity Recognition (NER) experiments, iii) studies concerning natural language processing. - Reference arXiv:2504.07738 - License cc-by-4.0 | |
| dc.identifier.uri | https://edata.stfc.ac.uk/handle/edata/998 | |
| dc.identifier.uri | https://doi.org/10.5286/edata/966 | |
| dc.language.iso | en | |
| dc.relation.isreferencedby | https://arxiv.org/abs/2504.07738 | |
| dc.rights | Creative Commons Attribution 4.0 International | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject.other | Graph knowledge, entity recognition, fusion energy. | |
| dc.title | FusionKnowledge_CategorisedEntities | |
| dc.type | Dataset |
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