Dataset Card for Odia_VQA_Multimodal_Dataset

Dataset Summary

This dataset contains 27K English-Odia parallel instruction sets (Question-Answer) and 6k unique images. The dataset is useful for multimodal Visual Question-answering (VQA) in Odia and English. The instruction set format allows a multimodal large language model (LLM) fine-tuning.

The Odia data was annotated by the local language speakers and verified by linguists.

Supported Tasks and Leaderboards

Large Language Model (LLM)

Languages

Odia, English

Dataset Structure

JSON

Licensing Information

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Citation Information

If you use the OVQA dataset, please consider giving 👏 and cite the following paper:

@inproceedings{parida2025ovqa,
title = {{OVQA: A Dataset for Visual Question Answering and Multimodal Research in Odia Language}},
author = {Parida, Shantipriya and Sahoo, Shashikanta and Sekhar, Sambit and Sahoo, Kalyanamalini and Kotwal, Ketan and Khosla, Sonal and Dash, Satya Ranjan and Bose, Aneesh and Kohli, Guneet Singh and Lenka, Smruti Smita and Bojar, Ondřej},
year = {2025},
note = {Accepted at the IndoNLP Workshop at COLING 2025} }

Contributions

Shantipriya Parida, Silo AI, Helsinki, Finland
Shashikanta Sahoo, Government college of Engineering Kalahandi,India
Sambit Sekhar, Odia Generative AI, India
Satya Rankan Dash, KIIT University, India
Kalyanamalini Sahoo, University of Artois, France
Sonal Khosla, Odia Generative AI, India
Aneesh Bose, Microsoft, India
Guneet Singh Kohli, GreyOrange, India
Ketan Kotwal, Idiap Research Institute, Switzerland
Smruti Smita Lenka, Odia Generative AI, India
Ondřej Bojar, UFAL, Charles University, Prague, Czech Republic

Point of Contact:

Shantipriya Parida, and Sambit Sekhar

Datasets:

odiagenmllm
/

odia_vqa_en_odi_set

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