metadata
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
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