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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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Glacial Lake Position Reasoning (GLake-Pos) Dataset

Authors: Maurya, Lalit; Kaushik, Saurabh;

Glacial Lake Position Reasoning (GLake-Pos) Dataset

Abstract

This repository contains the Glacial Lake Position Reasoning (GLake-Pos) dataset, which generates diverse and spatially grounded question–answer pairs for glacial lake segmentation, used in our study ‘GLACIA: Instance–Aware Positional Reasoning for Glacial Lake Segmentation via a Multimodal Large Language Model’ by Lalit Maurya, Saurabh Kaushik, and Beth Tellman Please Cite: Maurya, Lalit, Saurabh Kaushik, and Beth Tellman. "GLACIA: Instance-Aware Positional Reasoning for Glacial Lake Segmentation via Multimodal Large Language Model." arXiv preprint arXiv:2512.09251 (2025).

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average