OLAC Record
oai:lindat.mff.cuni.cz:11234/1-2997

Metadata
Title:Hindi Visual Genome 1.0
Bibliographic Citation:http://hdl.handle.net/11234/1-2997
Creator:Parida, Shantipriya
Bojar, Ondřej
Date (W3CDTF):2019-05-31T08:01:27Z
Date Available:2019-05-31T08:01:27Z
Description: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 (URI):http://hdl.handle.net/11234/1-2997
Language:English
Hindi
Language (ISO639):eng
hin
Publisher:Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
Rights:Creative Commons - Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
http://creativecommons.org/licenses/by-nc-sa/4.0/
Subject:parallel corpus
corpus
multilingual
machine translation
shared task
English-Hindi parallel corpus
image captioning
multi-modal
Type:corpus
Type (DCMI):Text
Type (OLAC):primary_text

OLAC Info

Archive:  LINDAT/CLARIN digital library at the Institute of Formal and Applied Linguistics (ÚFAL), Faculty of Mathematics and Physics, Charles University
Description:  http://www.language-archives.org/archive/lindat.mff.cuni.cz
GetRecord:  OAI-PMH request for OLAC format
GetRecord:  Pre-generated XML file

OAI Info

OaiIdentifier:  oai:lindat.mff.cuni.cz:11234/1-2997
DateStamp:  2019-08-05
GetRecord:  OAI-PMH request for simple DC format

Search Info

Citation: Parida, Shantipriya; Bojar, Ondřej. 2019. Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL).
Terms: area_Asia area_Europe country_GB country_IN dcmi_Text iso639_eng iso639_hin olac_primary_text


http://www.language-archives.org/item.php/oai:lindat.mff.cuni.cz:11234/1-2997
Up-to-date as of: Fri Nov 15 9:33:33 EST 2019