---
task_categories:
  - visual-question-answering
language:
  - vi
pretty_name: ViVQA-X
size_categories:
  - 10K<n<100K
tags:
  - visual-question-answering
  - Vietnamese
  - machine-translation
  - evaluation
  - LLM
annotators:
  - Automated Translation and Evaluation Pipeline
---

# Dataset Card for ViVQA-X

## Dataset Description

**ViVQA-X** is the Vietnamese version of the Visual Question Answering Explanation (VQA-X) dataset, designed for tasks in VQA-NLE in the Vietnamese language. This dataset was created to support research in Vietnamese VQA, offering translated examples with explanations, in alignment with the original English dataset. The ViVQA-X dataset is generated using a multi-stage pipeline for translation and evaluation, including both automated translation and post-processing, with quality evaluations involving multiple large language models (LLMs).

## Dataset statistics

- QA Pairs: 32,886 pairs of questions and answers across Train, Validation, and Test splits.
- Explanations: 41,817 high-quality explanations.
- Average Words: Explanations average 10 words per explanation.
- Vocabulary Size: 4,232 unique words in explanations.

If you mention or use any information from our dataset, please cite our paper: