LAION-BVD: A 10-Million-Hour Open Video Dataset for Multimodal Pre-training
- 类型：arxiv
- 标识：2608.24845
- 链接：https://arxiv.org/abs/2608.24845
- 主分类：multimodal
- 形态：benchmark
- TLDR：We present LAION-BVD, a large-scale open video dataset for multimodal learning, which contains 1.3B platform-specific video URLs collected from CommonCrawl. From these, we download 80M videos with a total duration of 10 million hours. The dataset is designed for multimodal pre-training across the video, audio, and image modalities. Using content-aware scene detection, we extract clips for which we synthetically generate video and audio captions. Models trained on these data achieve competitive performance on standard video-text and audio-text benchmarks, with consistent improvements as trainin
- 副分类：engineering
- 待LLM分类：否
- 来源文件：
- /inbox/tom/_candidates/2026-08-26-agent-rag-longcontext-candidates.json