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Update context_search.py
Rain removal taxonomy
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sota_extractor2/models/linking/context_search.py

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'ROUGE-2': ['r2'],
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'ROUGE-F': ['rf'],
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'Precision': ['precision'],
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'Recall': ['recall']
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'Recall': ['recall'],
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# RAIN REMOVAL
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'PSNR': ['psnr', 'psnr (db)', 'mean psnr],
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'SSIM': ['ssim'],
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'UQI': ['uqi'],
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'VIF': ['vif'],
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'SSEQ': ['sseq'],
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'NIQE': ['niqe'],
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'BLINDS-II': ['blinds-ii'],
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'FSIM': ['fsim'],
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}
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# datasets[taxonomy name] is a list of normalized evidences for taxonomy name
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"wealth"],
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'VoxForge European': ["vox forge european", "vox forge", "european", "vox", "forge", "eu"],
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'VoxForge Indian': ["vox forge indian", "vox forge", "indian", "vox", "forge"],
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# RAIN REMOVAL
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'Raindrop': ['raindrop'],
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'Rain100H': ['rain100h'],
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'Rain100L': ['rain100l'],
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'Rain12': ['rain12'],
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'Rain800': ['rain800'],
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'Rain1400': ['rain1400'],
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'Real Rain': ['real rain'],
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'Rain in Surveillance': ['ris'],
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'Rain in Driving': ['rid'],
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'DID-MDN': ['did-mdn'],
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'SOTS': ['sots'],
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'Test 1': ['test 1'],
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'RainSynLight25': ['rainsynlight25'],
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'RainSynComplex25': ['rainsyncomplex25'],
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'NTURain': ['nturain'],
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'RainSynAll100': ['rainsynall100'],
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'SPA-DATA': ['spa-data'],
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'LasVR': ['lasvar'],
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}
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datasets = {k:(v+['test']) for k,v in datasets.items()}

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