Source code for oumi.datasets.vision_language.pixmo_cap_qa

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from typing_extensions import override  # noqa: I001

from oumi.core.datasets import VisionLanguageSftDataset
from oumi.core.registry import register_dataset
from oumi.core.types.conversation import (
    ContentItem,
    Conversation,
    Message,
    Role,
    Type,
)


[docs] @register_dataset("allenai/pixmo-cap-qa") class PixmoCapQADataset(VisionLanguageSftDataset): """Dataset class for the `allenai/pixmo-cap-qa` dataset. The dataset is affected by some image URLs having a 404 issue. """ default_dataset = "allenai/pixmo-cap-qa"
[docs] @override def transform_conversation(self, example: dict) -> Conversation: """Transform the example into a Conversation object. Sample "question": "[USER] Can you come up with a joke? [ASSISTANT]" It starts with a [USER] and ends with an [ASSISTANT] role tag. The Assistant response appears in the "answer" field. """ messages: list[Message] = [] messages.append( Message( role=Role.USER, content=[ ContentItem(type=Type.IMAGE_URL, content=example["image_url"]), ], ) ) questions = example["question"].strip().split("\n") for question in questions: if question.startswith("[USER]"): question = question[len("[USER]") :].strip() messages.append(Message(role=Role.USER, content=question)) elif question.startswith("[ASSISTANT]"): answer = question[len("[ASSISTANT]") :].strip() messages.append(Message(role=Role.ASSISTANT, content=answer)) messages.append(Message(role=Role.ASSISTANT, content=example["answer"])) return Conversation(messages=messages)