HuggingFaceH4/rlaif-v_formatted

from datasets import load_dataset, features def format(examples): """ Convert prompt from "xxx" to [{"role": "user", "content": [{"type": "image"}, {"type": "text", "text": "xxx"}]}] and chosen and rejected from "xxx" to [{"role": "assistant", "content": [{"type": "text", "text": "xxx"}]}]. Images are wrapped in a list. """ output = {"images": [], "prompt": [], "chosen": [], "rejected": []} for image, question, chosen, rejected in zip(examples["image"]… See the full description on the dataset page: https://huggingface.co/datasets/HuggingFaceH4/rlaif-v_formatted.

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