---
license: mit
task_categories:
- video-classification
- question-answering
tags:
- video-qa
- mario
- gaming
size_categories:
- n<1K
---

# MarioQA MCQ Dataset

This dataset contains 268 samples from the MarioQA benchmark for video question answering in Mario gameplay.

## Dataset Structure

Each sample contains:
- **file_name**: Path to the video file
- **question**: The question about the video
- **options**: List of 4 possible answers
- **answer**: The correct answer (a, b, c, or d)
- **question_type**: Type of question (e.g., event-centric)
- **event**: The event type
- **temporal_relationship**: Temporal relationship code

## Usage

```python
from datasets import load_dataset

dataset = load_dataset("advaitgupta/marioqa-mcq")

# Access a sample
sample = dataset['train'][0]
print(sample['question'])
print(sample['options'])
print(sample['answer'])
```

## Citation

If you use this dataset, please cite the original MarioQA paper.

## License

MIT License