Before revision:  Different from previous moment retrieval tasks dealing with videos only, TVR requires the system to understand both the video and the associated subtitle text , making it a more realistictask. To support the study of this new task, we have collected a large-scale, high-quality dataset consisting of 108,965 queries on 21,793 videos from 6 TV shows of diverse genres, where each query is associated with a tight temporal alignment.
After revision:  Different from previous moment retrieval tasks dealing with videos only, TVR requires the system to understand both the video and the associated subtitle text , making it more realistic. The dataset contains 109K queries collected on 21.8K videos from 6 TV shows of diverse genres, where each query is associated with a tight temporal alignment.