TimeLens2 93K 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, multi span supervision, and explicit label verification . We hope it serves as a strong foundation for training generalist video models that can search long timelines, return auditable evidence, and transfer across grounding instructions instead of merely memorizing one timestamp format. Paper TimeLens2: Generalist Video Temporal Grounding with Multimodal LLMs Highlights Long and diverse videos: from short clips to nearly 100 minute videos across a wide range of real world domains. Multi span by design: annotations can contain a variable number of temporal intervals when evidence recurs at disjoint moments. High confidence labels: cross agent agreement, semantic verification, and boundary focused refinement form c…
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