Hindi Visual Genome 1.0

PID

Data

Hindi Visual Genome 1.0, 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 will be released 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.

Dataset Formats

The multimodal dataset contains both text and images.

The text parts of the dataset (train and test sets) are in simple tab-delimited plain text files.

All the text files have seven columns as follows:

Column1 - image_id Column2 - X Column3 - Y Column4 - Width Column5 - Height Column6 - English Text Column7 - Hindi Text

The image part contains the full images with the corresponding image_id as the file name. The X, Y, Width and Height columns indicate the rectangular region in the image described by the caption.

Data Statistics

The statistics of the current release is given below.

Parallel Corpus Statistics

Dataset Segments English Words Hindi Words ------- --------- ---------------- ------------- Train 28932 143178 136722 Dev 998 4922 4695 Test 1595 7852 7535 Challenge Test 1400 8185 8665 (Released separately) ------- --------- ---------------- ------------- Total 32925 164137 157617

The word counts are approximate, prior to tokenization.

Citation

If you use this corpus, please cite the following paper:

@article{hindi-visual-genome:2019, title={{Hindi Visual Genome: A Dataset for Multimodal English-to-Hindi Machine Translation}}, author={Parida, Shantipriya and Bojar, Ond{\v{r}}ej and Dash, Satya Ranjan}, journal={Computaci{\'o}n y Sistemas}, note={In print. Presented at CICLing 2019, La Rochelle, France}, year={2019}, }

Identifier
PID http://hdl.handle.net/11234/1-2997
Related Identifier http://hdl.handle.net/11234/1-3267
Related Identifier https://ufal.mff.cuni.cz/hindi-visual-genome
Metadata Access http://lindat.mff.cuni.cz/repository/oai/request?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai:lindat.mff.cuni.cz:11234/1-2997
Provenance
Creator Parida, Shantipriya; Bojar, Ondřej
Publisher Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
Publication Year 2019
Rights Creative Commons - Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0); http://creativecommons.org/licenses/by-nc-sa/4.0/; PUB
OpenAccess true
Contact lindat-help(at)ufal.mff.cuni.cz
Representation
Language English; Hindi
Resource Type corpus
Format text/plain; charset=utf-8; text/plain; application/x-gzip; application/zip; downloadable_files_count: 7
Discipline Linguistics