TIGER-Lab/ABC-VG-Instruct

VG Instruct This is the instruction finetuning dataset for ABC: Achieving better control of multimodal embeddings using VLMs. Each element in this dataset contains 4 instruction-captions pairs for images in the visual genome dataset, corresponding to different bounding boxes in the image. We use this dataset to train an embedding model that can use instruction to embeds specific aspects of a scene. Combined with our pretraining step, this results in a model that can create high… See the full description on the dataset page: https://huggingface.co/datasets/TIGER-Lab/ABC-VG-Instruct.

<iframe src="https://silytics.si/embed/item/94a45e20-499b-4e06-8451-774f57835bad" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.