# Copyright 2025 - Oumi
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

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)