Wakals/OmniTaskonomy_Recipe_Data

OmniTaskonomy (arxiv.org/abs/2609.38079) Recipe Data Paired image-to-image (I2I) and image-to-text (I2T) tasks for the R1–R6 training recipes and gradient analysis in OmniTaskonomy. Each of the six subsets has train and val splits. One row contains both objectives for the same task instance. from datasets import load_dataset data = load_dataset("Wakals/OmniTaskonomy_Recipe_Data", "jigsaw", split="train", streaming=True) sample = next(iter(data)) Fields id, task… See the full description on the dataset page: https://huggingface.co/datasets/Wakals/OmniTaskonomy_Recipe_Data.

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