| 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 | |