HausaNLP/HausaVG

HaVG: Hausa Visual Genome

Dataset Summary

The Hausa Visual Genome (HaVG) dataset contains the description of an image or a section within the image in Hausa and its equivalent in English. The dataset was prepared by automatically translating the English description of the images in the Hindi Visual Genome (HVG). The synthetic Hausa data was then carefully post-edited, taking into cognizance the respective images. The data is made of 32,923 images and their descriptions that are divided into training, development, test, and challenge test set. The Hausa Visual Genome is the first dataset of its kind and can be used for Hausa-English machine translation, multi-modal research, image description, among various other natural language processing and generation tasks.

Supported Tasks

• Translation
• Image-to-Text
• Text-to-Image

Languages

• Hausa
• English

Dataset Structure

Data Fields

All the text files have seven columns as follows:

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

Data Splits

Dataset	Segments	English Words	Hausa Words
Train	28,930	143,106	140,981
Dev	998	4922	4857
Test	1595	7853	7736
Challenge Test	1400	8186	8752
Total	32,923	164067	162326

The word counts are approximate, prior to tokenization.

Dataset Creation

Source Data

The source data was obtained from the Hindi Visual Genome dataset, a subset of the Visual Genome data.

Annotation process

The translations were obtained using a web application that was developed specifically for this task.

Who are the annotators?

The dataset was created by professional translators at HausaNLP and Bayero University Kano.

Personal and Sensitive Information

The dataset do not contain any personal or sensitive information.

Considerations for Using the Data

Social Impact of Dataset

HaVG will enable the creation of more qualitative models for natural language applications in Hausa language.

Additional Information

Licensing Information

This dataset is shared under the Creative Commons BY-NC-SA license.

Citation Information

If you use this dataset in your work, please cite us.

@inproceedings{abdulmumin-etal-2022-hausa,
    title = "{H}ausa Visual Genome: A Dataset for Multi-Modal {E}nglish to {H}ausa Machine Translation",
    author = "Abdulmumin, Idris and Dash, Satya Ranjan and Dawud, Musa Abdullahi and Parida, Shantipriya and Muhammad, Shamsuddeen and Ahmad, Ibrahim Sa{'}id and Panda, Subhadarshi and Bojar, Ond{\v{r}}ej and Galadanci, Bashir Shehu and Bello, Bello Shehu",
    booktitle = "Proceedings of the Thirteenth Language Resources and Evaluation Conference",
    month = jun,
    year = "2022",
    address = "Marseille, France",
    publisher = "European Language Resources Association",
    url = "https://aclanthology.org/2022.lrec-1.694",
    pages = "6471--6479"
}

Contributions

[More Information Needed]