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EN 中文 SenseNova-SI-8M 🚀 This is the official full-scale training dataset of the SenseNova-SI series. SenseNova-SI-8M contains ~8.16 million carefully curated training samples spanning ~2.72 million unique images, organized under a rigorous taxonomy of spatial capabilities. It is the dataset used to train the recommended released model SenseNova-SI-1.1-InternVL3-8B and serves as the canonical training corpus for spatial intelligence research… See the full description on the dataset page:
Source: Hugging Face Hub (sensenova/SenseNova-SI-8M). Metadata imported from the dataset’s Hub tags.