| # Dummy Video Dataset | |
| This is a dummy dataset created for testing video understanding models. | |
| ## Dataset Structure | |
| Each sample contains: | |
| - `video_name`: Name of the video file | |
| - `duration`: Duration in seconds | |
| - `question`: Multiple choice question | |
| - `candidates`: List of possible answers | |
| - `answer`: Correct answer (A, B, C, or D) | |
| - `task_type`: Type of task (needle, counting, temporal, spatial, reasoning) | |
| - `question_id`: Unique question identifier | |
| ## Usage | |
| ```python | |
| from datasets import load_dataset | |
| # Load dataset | |
| dataset = load_dataset("ragavsachdeva/dummy-dataset") | |
| # Access video files | |
| # Video files are stored in the 'videos/' directory | |
| ``` | |
| ## Video Files | |
| The videos are simple generated content with: | |
| - Colored backgrounds that change over time | |
| - Moving white circles | |
| - Frame counter text | |
| - Duration ranging from 5-30 seconds | |
| Total samples: 20 | |