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63 | 63 | 'AG News': ['ag news', 'ag'],
|
64 | 64 | 'GigaWord': ['gigaword', 'giga'],
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65 | 65 | 'GEOTEXT': ['geotext', 'geo'],
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66 |
| - 'IWSLT 2015 English-Vietnamese': ["iwslt 2015 english vietnamese", "iwslt", "2015", "english vietnamese", "en vi", |
| 66 | + 'IWSLT2015 English-Vietnamese': ["iwslt 2015 english vietnamese", "iwslt", "2015", "english vietnamese", "en vi", |
67 | 67 | "iwslt 15 english vietnamese", "iwslt 15 en vi", "english", "en", "vietnamese",
|
68 | 68 | "vi"],
|
69 | 69 | 'IWSLT2011 English TED Talks': ["iwslt 2011 english ted talks", "iwslt", "2011", "english", "en", "eng", "ted",
|
|
80 | 80 | "transcription"],
|
81 | 81 | 'DIRHA English WSJ real': ['dirha english wsj real', 'dirha', 'english', 'en', 'eng', 'real', 'wsj'],
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82 | 82 | 'DIRHA English WSJ simu': ['dirha english wsj simu', 'dirha', 'english', 'en', 'eng', 'simu', 'wsj', 'simulated'],
|
83 |
| - 'VCTK clean': ["vctk clean", "vctk", "clean"], |
84 |
| - 'VCTK noisy': ["vctk noisy", "vctk", "noisy"], |
| 83 | + 'VCTK clean': ["vctk clean", "vctk", "clean", "voice bank", "voice", "bank", "corpus"], |
| 84 | + 'VCTK noisy': ["vctk noisy", "vctk", "noisy", "voice bank", "voice", "bank", "corpus"], |
85 | 85 | 'VoxForge American-Canadian': ["vox forge american canadian", "vox forge", "vox", "forge", "american canadian",
|
86 | 86 | "american", "canadian", "us ca"],
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87 | 87 | 'VoxForge Commonwealth': ["vox forge common wealth", "vox forge", "common wealth", "vox", "forge", "common",
|
88 | 88 | "wealth"],
|
89 | 89 | 'VoxForge European': ["vox forge european", "vox forge", "european", "vox", "forge", "eu"],
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90 | 90 | 'VoxForge Indian': ["vox forge indian", "vox forge", "indian", "vox", "forge"],
|
| 91 | + |
| 92 | + # Face Alignment |
| 93 | + 'AFLW test': ['annotated faces in the wild', 'annotated facial landmarks in the wild', 'facial', 'landmark', |
| 94 | + 'annotated', 'faces', 'in the wild', 'faces in the wild'], |
| 95 | + |
| 96 | + # Human Part Segmentation |
| 97 | + 'CIHP val': ['crowd instance level human parsing'], |
| 98 | + 'MHP v2.0 val': ['multi human parsing'], |
| 99 | + |
| 100 | + # Image Generation |
| 101 | + # 'LSUN Bedroom': ['large scale scene understanding'], |
| 102 | + |
91 | 103 | # RAIN REMOVAL
|
92 | 104 | 'Raindrop': ['raindrop'],
|
93 | 105 | 'Rain100H': ['rain100h'],
|
|
111 | 123 | 'ADE20K': ['ade20k'],
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112 | 124 | 'ADE20K test': ['ade20k test', 'ade20k', 'test'],
|
113 | 125 |
|
114 |
| - 'COCO Stuff': ['coco stuff', 'coco', 'stuff'], |
| 126 | + 'COCO-Stuff': ['coco stuff', 'coco', 'stuff'], |
115 | 127 | 'PASCAL VOC 2012': ['voc 12', 'pascal voc 12', 'voc12' 'pascal'],
|
116 | 128 | 'PASCAL VOC 2012 test': ['voc 12', 'pascal voc 12', 'voc12' 'pascal'],
|
117 | 129 | 'PASCAL VOC 2011': ['voc 11', 'pascal voc 11', 'voc11' 'pascal'],
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|
124 | 136 | 'PASCAL Person-Part': ['pascal person part'],
|
125 | 137 | 'ParseNet': ['parsenet'],
|
126 | 138 | 'LIP': ['lip'],
|
127 |
| - 'SUN RGB-D': ['sun rgbd', 'sunrgbd', 'sunrgb d'] |
| 139 | + 'SUN-RGBD': ['sun rgbd', 'sunrgbd', 'sunrgb d'], |
| 140 | + 'NYU Depth v2': ['nyudv2'], |
| 141 | + |
| 142 | + # Gender Classification |
| 143 | + 'LFWA': ['labeled faces in the wild', 'faces in the wild', 'faces', 'in the wild'], |
| 144 | + |
| 145 | + # Recommendation Systems |
| 146 | + 'NeurIPS Co-authorship': ['nips'], |
| 147 | + |
| 148 | + # Sentiment Analysis |
| 149 | + 'Pang and Lee 2004': ['pl04'], |
| 150 | + |
| 151 | + # Semantic Textual Similarity |
| 152 | + 'STS Benchmark': ['sts b'], |
128 | 153 | }
|
129 | 154 |
|
130 | 155 | tasks = {}
|
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