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Marcin Kardas
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Update evidences dictionaries
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sota_extractor2/models/linking/manual_dicts.py

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'AG News': ['ag news', 'ag'],
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'GigaWord': ['gigaword', 'giga'],
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'GEOTEXT': ['geotext', 'geo'],
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'IWSLT 2015 English-Vietnamese': ["iwslt 2015 english vietnamese", "iwslt", "2015", "english vietnamese", "en vi",
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'IWSLT2015 English-Vietnamese': ["iwslt 2015 english vietnamese", "iwslt", "2015", "english vietnamese", "en vi",
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"iwslt 15 english vietnamese", "iwslt 15 en vi", "english", "en", "vietnamese",
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"vi"],
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'IWSLT2011 English TED Talks': ["iwslt 2011 english ted talks", "iwslt", "2011", "english", "en", "eng", "ted",
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"transcription"],
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'DIRHA English WSJ real': ['dirha english wsj real', 'dirha', 'english', 'en', 'eng', 'real', 'wsj'],
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'DIRHA English WSJ simu': ['dirha english wsj simu', 'dirha', 'english', 'en', 'eng', 'simu', 'wsj', 'simulated'],
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'VCTK clean': ["vctk clean", "vctk", "clean"],
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'VCTK noisy': ["vctk noisy", "vctk", "noisy"],
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'VCTK clean': ["vctk clean", "vctk", "clean", "voice bank", "voice", "bank", "corpus"],
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'VCTK noisy': ["vctk noisy", "vctk", "noisy", "voice bank", "voice", "bank", "corpus"],
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'VoxForge American-Canadian': ["vox forge american canadian", "vox forge", "vox", "forge", "american canadian",
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"american", "canadian", "us ca"],
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'VoxForge Commonwealth': ["vox forge common wealth", "vox forge", "common wealth", "vox", "forge", "common",
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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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# Face Alignment
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'AFLW test': ['annotated faces in the wild', 'annotated facial landmarks in the wild', 'facial', 'landmark',
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'annotated', 'faces', 'in the wild', 'faces in the wild'],
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# Human Part Segmentation
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'CIHP val': ['crowd instance level human parsing'],
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'MHP v2.0 val': ['multi human parsing'],
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# Image Generation
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# 'LSUN Bedroom': ['large scale scene understanding'],
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# RAIN REMOVAL
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'Raindrop': ['raindrop'],
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'Rain100H': ['rain100h'],
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'ADE20K': ['ade20k'],
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'ADE20K test': ['ade20k test', 'ade20k', 'test'],
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'COCO Stuff': ['coco stuff', 'coco', 'stuff'],
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'COCO-Stuff': ['coco stuff', 'coco', 'stuff'],
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'PASCAL VOC 2012': ['voc 12', 'pascal voc 12', 'voc12' 'pascal'],
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'PASCAL VOC 2012 test': ['voc 12', 'pascal voc 12', 'voc12' 'pascal'],
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'PASCAL VOC 2011': ['voc 11', 'pascal voc 11', 'voc11' 'pascal'],
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'PASCAL Person-Part': ['pascal person part'],
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'ParseNet': ['parsenet'],
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'LIP': ['lip'],
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'SUN RGB-D': ['sun rgbd', 'sunrgbd', 'sunrgb d']
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'SUN-RGBD': ['sun rgbd', 'sunrgbd', 'sunrgb d'],
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'NYU Depth v2': ['nyudv2'],
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# Gender Classification
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'LFWA': ['labeled faces in the wild', 'faces in the wild', 'faces', 'in the wild'],
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# Recommendation Systems
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'NeurIPS Co-authorship': ['nips'],
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# Sentiment Analysis
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'Pang and Lee 2004': ['pl04'],
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# Semantic Textual Similarity
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'STS Benchmark': ['sts b'],
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}
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tasks = {}

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