---
dataset_info:
  features:
  - name: id
    dtype: string
  - name: message
    list:
    - name: content
      dtype: string
    - name: role
      dtype: string
  - name: image
    dtype: image
  splits:
  - name: train
    num_bytes: 5779284964.76
    num_examples: 44486
  - name: validation
    num_bytes: 708420205.08
    num_examples: 5560
  - name: test
    num_bytes: 744693334.836
    num_examples: 5562
  download_size: 3060451737
  dataset_size: 7232398504.676001
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
task_categories:
- question-answering
- translation
- image-to-text
language:
- or
- en
pretty_name: Odia_VQA_Multimodal_Dataset
size_categories:
- 10K<n<100K
---
# 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][cc-by-nc-sa].

[![CC BY-NC-SA 4.0][cc-by-nc-sa-image]][cc-by-nc-sa]

[cc-by-nc-sa]: http://creativecommons.org/licenses/by-nc-sa/4.0/
[cc-by-nc-sa-image]: https://licensebuttons.net/l/by-nc-sa/4.0/88x31.png
[cc-by-nc-sa-shield]: https://img.shields.io/badge/License-CC%20BY--NC--SA%204.0-lightgrey.svg

### Citation Information

If you find this repository useful, please consider giving 👏 and citing:

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### 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
* Ondřej Bojar, UFAL, Charles University, Prague, Czech Republic

### Point of Contact: 
**Shantipriya Parida, and Sambit Sekhar**