Laion 大规模视频数据集
Laion Big Video Dataset

原始链接: https://projects.laion.ai/bvd/

LAION-BVD 现已发布,旨在通过提供大规模的开放获取视频数据集,使多模态研究平民化。从历史上看,此类资源仅限于专有技术公司使用,这阻碍了独立的科学探索和可复现性。该数据集旨在促进视频、音频和图像模型在开发与评估过程中的透明度。 LAION-BVD 仅供非商业性学术研究使用。鼓励研究人员优先考虑伦理使用,尊重内容创作者的权利,并遵守所有适用法律。用户还必须考虑到该数据集固有的局限性,包括潜在的偏见、刻板印象以及全球代表性不均衡等问题。由于基于此数据训练的模型可能会继承这些缺陷,研究人员有责任在报告研究结果的同时,对这些问题进行严谨的评估与说明。

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原文

LAION-BVD is released to support open and reproducible multimodal research at scale. Large-scale video datasets and the models trained on them are increasingly concentrated within a small number of predominantly proprietary technology companies, limiting independent scientific investigation and reproducibility. By providing an open resource for academic research, we aim to broaden access to multimodal training data and enable more transparent evaluation of large-scale video, audio, and image models.

LAION-BVD is released exclusively for research purposes and not for commercial use. The dataset is intended to support scientific research, reproducibility, safety analysis, and the study of multimodal foundation models and related systems. We encourage users to respect the rights and copyright of content creators and to use the dataset responsibly and in accordance with applicable laws and platform terms.

Like other large-scale web datasets, LAION-BVD may contain biases, stereotypes, and uneven representation across languages, regions, and topics. Models trained on this data may inherit such biases. Researchers using the dataset should be aware of these limitations and, where relevant, evaluate and report them alongside model capabilities.

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