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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
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