TimeLens2-93K is a large-scale, long-video temporal grounding dataset. This release contains 23,793 videos and 93,232 text–temporal interval pairs, including 12,091 multi-span pairs. The videos range from short clips to nearly 100 minutes and cover broad web domains such as entertainment, education, sports, news, science and technology, gaming, travel, vehicles, music, and daily life.
TimeLens2-93K offers a rare combination of scale, long-context coverage… See the full description on the dataset page:
https://huggingface.co/datasets/MCG-NJU/TimeLens2-93K.
