A subset of the COCO 2014 dataset was used for this assignment. The dataset can be downloaded from here. The dataset is split into 3 parts: train, validation and test. The train and validation sets are used for training the model and the test set is used for evaluating the model.
Sample with high BLEU score (100.00): Predicted: a little girls are playing with a hair dryer True: ['two toddlers are playing with a hair driver ', 'a couple of little girls standing next to each other ', 'two little girls who have a hair dryer ', 'two young children standing in a room while one plays with a hair dryer ', 'two little girls are playing with a hair dryer in a library room ']
Sample with low BLEU score (7.94): Predicted: a kites and on on a "<unk>" of True: ['colorful opened umbrellas are arranged outside of the store windows ', 'a bunch of umbrellas are in front of a house', 'a bunch of umbrellas are opened next to each other ', 'many umbrellas sitting open against the side of a building ', 'large group of colorful umbrellas sitting next to each other ']
Sample with high cosine similarity score (20.00): Predicted: a man sitting a table and a woman sitting a "<unk>" "<unk>" True: ['a young man sitting with a laptop computer on his lap ', 'a man playing a video game as his friend looks at a laptop screen', 'a guy on a laptop and a guy holding a wii remote ', 'a guy is playing wii with his friend ', 'a man is playing a video game while his friend is on his laptop ']
Sample with low cosine similarity score (-22.39): Predicted: a white cake and a cup on to be True: ['a white plate with a brownie and white frosting ', 'a piece of chocolate cake on top of a white plate ', 'a chocolate cake and a fork ready to be eat', 'a chocolate desert on a plate with a fork ', 'a piece of chocolate dessert on a plate with a napkin and a fork ']
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