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AI-Generated Causal Drug Reviews Knowledge Graph

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This dataset contains a knowledge graph of causal relations (CausalDrugsKG) obtained by deploying a fine-tuned Large Language Model (https://huggingface.co/unica/CLiMA) over a public dataset of drug reviews (https://archive.ics.uci.edu/dataset/461/drug+review+dataset+druglib+com)

Contributors

European Commission

How to cite

V. Zavarella, L. Bertolini, S. Consoli, Gianni Fenu, A. Zani (2026): AI-Generated Causal Drug Reviews Knowledge Graph. European Commission, Joint Research Centre [Dataset] doi: 10.2905/JRC.GBGB96R PID: http://data.europa.eu/89h/acebeb4e-9789-4b5c-97ec-292ce14e75d0

Keywords

CausalityClinical NLPInstruction fine-tuningLarge Language ModelsRelation Extraction

Data access

CausalDrugsKG.ttl
RDF Turtle

Turtle – Terse RDF Triple Language – is a format for expressing data in the Resource Description Framework (RDF) data model with a syntax similar to SPARQL. RDF, in turn, represents information using ‘triples’, each of which consists of a subject, a predicate and an object. Each of those items is expressed as a Web URI.
Downloadable file

A downloadable file for the dataset.

Use conditions
European Commission reuse notice

According to the European Commission reuse notice, reuse is authorised, provided the source is acknowledged. The reuse policy of the European Commission is implemented by the Decision of 12 December 2011. The general principle of reuse can be subject to conditions which may be specified in individual copyright notices. Therefore users are advised to refer to the copyright notices of the individual websites maintained under Europa and of the individual documents. Reuse is not applicable to documents subject to intellectual property rights of third parties.

Access conditions
No limitations

Anybody can directly and anonymously access the data, without being required to register or authenticate.

CausalDrugsKG.rdf
RDF

RDF – Resource Description Framework – is a standard model for data interchange on the Web. RDF has features that facilitate data merging. RDF extends the linking structure of the Web to use URIs to name the relationship between things as well as the two ends of the link (this is usually referred to as a ‘triple’). Using this simple model, it allows structured and semi-structured data to be mixed, exposed and shared across different applications. This linking structure forms a directed, labeled graph, where the edges represent the named link between two resources, represented by the graph nodes.
Downloadable file

A downloadable file for the dataset.

Use conditions
European Commission reuse notice

According to the European Commission reuse notice, reuse is authorised, provided the source is acknowledged. The reuse policy of the European Commission is implemented by the Decision of 12 December 2011. The general principle of reuse can be subject to conditions which may be specified in individual copyright notices. Therefore users are advised to refer to the copyright notices of the individual websites maintained under Europa and of the individual documents. Reuse is not applicable to documents subject to intellectual property rights of third parties.

Access conditions
No limitations

Anybody can directly and anonymously access the data, without being required to register or authenticate.

Additional information

Published by
European Commission, Joint Research Centre
Contact email
Sergio.CONSOLI (at) ec.europa.eu
Update frequency
irregular

The event occurs at uneven intervals.

Data theme(s)
Health

dataset theme covering the domain of health which includes health conditions, diseases, treatments, healthcare services, and health policies
Science and technology

dataset theme covering the domains of science and technology, with science being the systematic pursuit of knowledge through testable explanations and predictions across natural, social, and formal disciplines, and technology encompassing the collective techniques, skills, methods, and processes used in producing goods, providing services, or achieving objectives like scientific research

Issued date
2025-03-07
Created date
07 Mar 2025 09:55
Modified date
13 Mar 2025 17:55
Landing page
https://huggingface.co/unica/CLiMA 
Dataset identifier
http://data.europa.eu/89h/acebeb4e-9789-4b5c-97ec-292ce14e75d0
Other identifiers
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