mmf/configs/datasets/vqa2/defaults.yaml [18:45]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
      features:
        train:
        - coco/defaults/features/trainval2014.lmdb
        val:
        - coco/defaults/features/trainval2014.lmdb
        test:
        - coco/defaults/features/test2015.lmdb
      annotations:
        train:
        - vqa2/defaults/annotations/imdb_train2014.npy
        val:
        - vqa2/defaults/annotations/imdb_val2014.npy
        test:
        - vqa2/defaults/annotations/imdb_test2015.npy
      max_features: 100
      processors:
        text_processor:
          type: vocab
          params:
            max_length: 14
            vocab:
              type: intersected
              embedding_name: glove.6B.300d
              vocab_file: vqa2/defaults/extras/vocabs/vocabulary_100k.txt
            preprocessor:
              type: simple_sentence
              params: {}
        answer_processor:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -



mmf/configs/datasets/vqa2/masked_q.yaml [11:38]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
      features:
        train:
        - coco/defaults/features/trainval2014.lmdb
        val:
        - coco/defaults/features/trainval2014.lmdb
        test:
        - coco/defaults/features/test2015.lmdb
      annotations:
        train:
        - vqa2/defaults/annotations/imdb_train2014.npy
        val:
        - vqa2/defaults/annotations/imdb_val2014.npy
        test:
        - vqa2/defaults/annotations/imdb_test2015.npy
      max_features: 100
      processors:
        text_processor:
          type: vocab
          params:
            max_length: 14
            vocab:
              type: intersected
              embedding_name: glove.6B.300d
              vocab_file: vqa2/defaults/extras/vocabs/vocabulary_100k.txt
            preprocessor:
              type: simple_sentence
              params: {}
        answer_processor:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -



