FusionKnowledge_CategorisedEntities
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Extranal files
Date
Authors
Loreti, Andrea
Chen, Kesi
George, Ruby
Firth, Robert
Agnello, Adriano
Tanaka, Shinnosuke
Journal Title
Journal ISSN
Volume Title
Publisher
Description
- 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
Description
Keywords
Citation
Licence
Creative Commons Attribution 4.0 International
