GANDR - Georelating Dataset, Metrics, and Evaluation

Georelating has been introduced to learn geospatial representations of events from textual reports, which requires the interpretation of spatial relations. To foster the development and evaluation of Georelating systems, we construct the silver-standard Georelating Annotated Natural Disaster Reports dataset GANDR and benchmark our LLM agent architecture as a baseline (areal F1 = 0.609, fuzzy cell match score = 0.833) for this new task.

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Publication Details

Published
2025-11-03
DOI
https://doi.org/10.1145/3764912.3770819
Primary Topic
Geographic Information Systems Studies
Type
article
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article

GANDR - Georelating Dataset, Metrics, and Evaluation

Geographic Information Systems Studies
article

GANDR - Georelating Dataset, Metrics, and Evaluation

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Abstract

Georelating has been introduced to learn geospatial representations of events from textual reports, which requires the interpretation of spatial relations. To foster the development and evaluation of Georelating systems, we construct the silver-standard Georelating Annotated Natural Disaster Reports dataset GANDR and benchmark our LLM agent architecture as a baseline (areal F1 = 0.609, fuzzy cell match score = 0.833) for this new task.

Leuphana University of Lüneburg (DE)
Climate action
Openalex Percentile: Top 25%
Geographic Information Systems Studies
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GANDR - Georelating Dataset, Metrics, and Evaluation · (2025) | TGRS Research Map | TGRS