Source code for oumi.datasets.vision_language.vqav2_small

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# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
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#     http://www.apache.org/licenses/LICENSE-2.0
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from typing_extensions import override

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("merve/vqav2-small") class Vqav2SmallDataset(VisionLanguageSftDataset): """Dataset class for the `merve/vqav2-small` dataset.""" default_dataset = "merve/vqav2-small" def _process_text_value(self, s: str) -> str: # The data contains occasional `\n` at the beginning or end # of text values. Let's strip them. return s.strip() if s else ""
[docs] @override def transform_conversation(self, example: dict) -> Conversation: """Transform a single conversation example into a Conversation object.""" input_text = self._process_text_value(example["question"]) output_text = self._process_text_value(example["multiple_choice_answer"]) messages = [ Message( role=Role.USER, content=[ ContentItem( type=Type.IMAGE_BINARY, binary=example["image"]["bytes"], ), ContentItem(type=Type.TEXT, content=input_text), ], ), Message(role=Role.ASSISTANT, content=output_text), ] return Conversation(messages=messages)