NoeFlandre/benchmark-llms-landuse-relevance

Classify whether the TARGET SENTENCE contains information about the target place that could help characterize its land use, land cover, or geographic environment from remote sensing, either directly or through observable proxies.

Return exactly one token: yes or no.

Answer yes for information about vegetation, agriculture, forests, water, soil or surface, terrain, buildings, settlements, infrastructure, transport networks, mining, managed land, or other human or natural features with a spatial or remotely detectable signature.

Answer no for information only about history, administration, people, events, demographics, economy, navigation, or activities with no meaningful land-use, land-cover, or remotely detectable implication.

Output only the lowercase token yes or no.

TARGET SENTENCE: {}

<Instruct>: Judge whether the Document carries information about its target place that could help characterize land use, land cover, or the geographic environment from remote sensing, either directly or through observable proxies. Answer yes for vegetation, agriculture, forests, water, soil or surface, terrain, buildings, settlements, infrastructure, transport networks, mining, managed land, or other human or natural features with a spatial or remotely detectable signature. Answer no for information only about history, administration, people, events, demographics, economy, navigation, or activities with no meaningful land-use, land-cover, or remotely detectable implication.
<Query>: Does this sentence carry land-use, land-cover, or geographic-environment signal observable from remote sensing?
<Document>: {}

Zero-shot classification input for NLI and label-matching models. The premise is the TARGET SENTENCE; the hypothesis / positive label is the line after HYPOTHESIS, derived from the LLM prompt.

TARGET SENTENCE: {}

HYPOTHESIS: This sentence contains information useful for inferring the land use or land cover of the associated geographic place.