Hindi Visual Genome

Hindi Visual Genome is a multimodal dataset consisting of text and images suitable for English-to-Hindi multimodal machine translation task and multimodal research. We have selected short English segments (captions) from Visual Genome along with associated images and automatically translated them to Hindi with manual post-editing, taking the associated images into account.

The training set contains 29K segments. Further 1K and 1.6K segments are provided in a development and test sets, respectively, which follow the same (random) sampling from the original Hindi Visual Genome. Additionally, a challenge test set of 1400 segments was prepared for the WAT2019 multi-modal task. This challenge test set was created by searching for (particularly) ambiguous English words based on the embedding similarity and manually selecting those where the image helps to resolve the ambiguity. The surrounding words in the sentence however also often include sufficient cues to identify the correct meaning of the ambiguous word.

Dataset Sample

Sample items from the randomly selected segments (train/dtest/etest)
Image	Image_ID	X	Y	Width	Height	English Text	Hindi Text
	2323457	20	150	325	121	Many giraffes at a zoo	एक चिड़ियाघर में कई जिराफ़
	2335684	61	191	437	182	Fruit stand outside market	बाजार के बाहर फल स्टैंड
Sample item from the challenge test set (chtest)
	2372733	26	107	152	218	The tennis court is made up of sand and dirt	य़ह टेनिस कोर्ट रेत और धूल से बना है

Sample ambiguous word: court (the key different meanings are court of justice vs. tennis court). As the image example illustrates, the word alone is ambiguous but already the English caption may contain sufficient information to disambiguate the word; the image is thus not always necessary for correct translation even in our challenge test set.

Download Link

• Hindi Visual Genome 1.0 (used in WAT 2019 Multi-Modal Task)
• Hindi Visual Genome 1.1 (used in WAT 2020 Multi-Modal Task, WAT 2021, and WAT 2022 Multi-Modal Task)