Datasets:

gsarch
/

Gaze-SFT

Tasks:

Image-Text-to-Text

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Tags:

rejection-sampling

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GGR-SFT · 73.2k rows

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train · 73.2k rows

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Gaze SFT datasets

Supervised visual reasoning examples with images and conversations. Conditions: Gaze-SFT, GGR-SFT.

from datasets import load_dataset

data = load_dataset("gsarch/Gaze-SFT", "Gaze-SFT", split="train", token=True)
example = data[0]
print(example["messages"])
image = example["images"][0]

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Collection including gsarch/Gaze-SFT

GGR

Models and data for Gaze Guided Reasoner • 22 items • Updated 1 day ago