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README.md
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---
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license: apache-2.0
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task_categories:
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- visual-question-answering
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tags:
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- remote-sensing
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- earth-observation
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- sentinel-2
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- multispectral
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- benchmark
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---
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# SpectralCheck-EO
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A spectrally grounded benchmark for vision-language models in Earth observation.
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1,724 Sentinel-2 L2A tiles (~5 km squares) with 11 spectral indices computed
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per tile and per 3x3 region, plus RGB previews.
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**Status: work in progress.** This release contains imagery statistics only.
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Question-answer pairs and evaluation splits are not yet published — do not use
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for evaluation yet.
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Fully reproducible: every tile is identified by its STAC item ID, so the whole
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dataset can be regenerated from public Sentinel-2 data using the included
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manifest and pipeline.
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RIOTU Lab, Prince Sultan University.
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