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Initial upload of GeoLLM dataset via HfApi.upload_folder

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+ This dataset consists of 85066 train, 515 validation, and 1018 test samples, each containing images from NAIP, Sentinel-1, and Sentinel-2. The folder of train images is split into three parts due to its size; you will need to combine them after downloading. The format of each sample is as follows:
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+ train_dataset/
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+ [latitude]_[longitude]/
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+ naip.png
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+ sentinel-1.npy
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+ sentinel-2-10m.npy
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+ sentinel-2-20m.npy
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+ sentinel-2-60m.npy
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+ The NAIP image is stored as a 4-channel PNG image with the NIR band in the alpha channel. The other images are stored directly as NumPy arrays. The channels in each image are in the following order:
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+ sentinel-1: VV, VH
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+ sentinel-2-10m: red, green, blue, NIR
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+ sentinel-2-20m: RE1, RE2, RE3, RE4, SWIR1, SWIR2
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+ sentinel-2-60m: coastal aerosol, water vapor, cirrus
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+ The labels are found in the corresponding GeoJSON file for each dataset, which contains the following columns:
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+ Latitude: latitude coordinate of the image center
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+ Longitude: longitude coordinate of the image center
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+ Type: label of facility or facilities present in the image
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+ Source: data source the coordinates originally came from
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+ Image_Folder: folder in the dataset where the image can be found
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+ geometry: bounding box for the area covered by the image
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