| { | |
| "0": "From the <dataset_placeholder> dataset, generate a summarized version of the video, focusing on extracting key frames that best represent the overall narrative. The output should be a list of timestamps in seconds and their corresponding salient scores", | |
| "1": "You are given a video from the <dataset_placeholder> dataset. Please find the highlight contents in the video, determining the highlight timestamps and its saliency score on a scale from 1 to 5. The output format should be like: 'The highlight timestamps are in the 82, 84, 86, 88, 90, 92, 94, 96, 98, 100 second. Their saliency scores are 1.3, 1.7, 1.7, 1.7, 1.7, 1.3, 1.7, 2.3, 2.3, 2.3'. ", | |
| "2": "Identify and extract the most emotionally impactful moments from the video provided by <dataset_placeholder> dataset, rating their intensity on a scale from 1 to 5.", | |
| "3": "Watch the provided video from the <dataset_placeholder> dataset and mark out the timestamps with stand-out visual content. Document the timestamps of these highlights and evaluate their saliency scores.", | |
| "4": "In the video presented from <dataset_placeholder> dataset, seek moments that could serve as an executive summary for a busy stakeholder. It's vital to notate their timestamps and to score each based on their level of saliency.", | |
| "5": "Go through the video content from <dataset_placeholder> dataset, and upon identifying highlight moments, list their timestamps. Subsequently, provide a saliency score for each identified highlight." | |
| } |