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Data · dataset · 2025

Evaluating Large Language Models for Narrative Topic Labeling (NLP4DH 2025)

Listed in Borealis

Human annotated data for evaluating LLMs on the task of topic labeling.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Natural language processing 77%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
Borealisdoi:10.5683/SP3/MHJRIO10 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:field:460208enrichment · borealisdata cataxonomy-embedding@1.1.0title+keywords+description (77%)
concepts[field].dataverse_subject:arts-and-humanitiessource · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
concepts[field].dataverse_subject:computer-and-information-sciencesource · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
concepts[field].local:field:computer-science-aimapping · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
concepts[field].local:field:humanitiesmapping · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
created_datesource · borealisdata caconnector:borealisdata_ca@1.0.0
descriptionsource · borealisdata caconnector:borealisdata_ca@1.0.0/description
publication_datesource · borealisdata caconnector:borealisdata_ca@1.0.0
titlesource · borealisdata caconnector:borealisdata_ca@1.0.0/name
updated_datesource · borealisdata caconnector:borealisdata_ca@1.0.0
version_labelsource · borealisdata caconnector:borealisdata_ca@1.0.0