BidirLM/mscoco_contrastive

该数据集是BidirLM-Omni集合的一部分，是用于训练BidirLM-Omni模型的语料库的特定模态子样本。具体来说，它是一个图像-文本配对数据集，基于MSCOCO（Microsoft Common Objects in Context）数据集，并经过处理以支持对比学习。如果用户需要访问完整的、平衡的1.8M样本多模态数据集（集成文本、图像和音频），请参考BidirLM/BidirLM-Omni-Contrastive。

This dataset is a specific modality sub-sample of the corpus used to train the BidirLM-Omni models. It is an image-text paired dataset based on MSCOCO (Microsoft Common Objects in Context) and processed for contrastive learning. If you want to access the complete, balanced 1.8M sample omnimodal dataset (integrating text, image, audio), please visit BidirLM/BidirLM-Omni-Contrastive.