visionreasoner_demo.py

import os
import datasets

class VisionReasonerDataset(datasets.GeneratorBasedBuilder):
    def _info(self):
        return datasets.DatasetInfo(
            features=datasets.Features({
                "id": datasets.Value("string"),
                "problem": datasets.Value("string"),
                "solution": datasets.Value("string"),
                "image": datasets.Image(),  # Enables image previews
                "img_height": datasets.Value("int32"),
            }),
        )

    def _split_generators(self, dl_manager):
        parquet_path = os.path.join(dl_manager.manual_dir, "visionreasoner_dataset.parquet")
        return [
            datasets.SplitGenerator(
                name=datasets.Split.TRAIN,
                gen_kwargs={"filepath": parquet_path}
            ),
        ]

    def _generate_examples(self, filepath):
        import pandas as pd
        df = pd.read_parquet(filepath)
        for idx, row in df.iterrows():
            yield idx, {
                "id": row["id"],
                "problem": row["problem"],
                "solution": row["solution"],
                "image": row["image"]["path"],
                "img_height": row["img_height"],
            }