Nemotron Image Training v3

Summary

Nemotron Image Training v3 is a collection of image-centric multimodal training data for vision–language models. Similar to Nemotron-VLM-Dataset v2, it was curated as a large-scale, multi-subdataset release where each subset ships a standardized conversation JSONL alongside a dataset card describing sources, licensing, and media layout. Nemotron Image Training v3 expands on v2 with 76 subdatasets totaling approximately 6.9M samples and 39.56B tokens, covering a broad range of image-centric vision–language tasks using a mix of human-annotated and synthetically generated data.

Keywords

hf-dataset qa---multimodal json text datasets pandas polars mlcroissant

Topics

QA / Multimodal

Research notes

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