dataset.py

import datasets


class MyMultiModalDataset(datasets.GeneratorBasedBuilder):
    BUILDER_CONFIGS = [
        datasets.BuilderConfig(name="2d_single_loop_standard", version=datasets.Version("1.0.0")),
        datasets.BuilderConfig(name="2d_maze_loop", version=datasets.Version("1.0.0")),
    ]

    def _info(self):
        # return datasets.DatasetInfo(
        #     features=datasets.Features(
        #         {
        #             "image": datasets.Image(),
        #             "annotation": datasets.Value("string"),
        #         }
        #     )
        # )
        features = datasets.Features(
            {
                "qa_id": datasets.Value("string"),
                "image": datasets.Image(),  # ← 実際の画像ファイルに変換される
                "question": datasets.Value("string"),
                "start_object_id": datasets.Value("string"),
                "directions": datasets.Sequence(datasets.Value("string")),
                "turn_preferences": datasets.Sequence(datasets.Value("string")),
                "ordinal_numbers": datasets.Sequence(datasets.Value("int32")),
                "ordinal_strings": datasets.Sequence(datasets.Value("string")),
                "ordinal_number_levels": datasets.Sequence(datasets.Value("string")),
                "arr_level": datasets.Value("string"),
                "n_of_objects_level": datasets.Value("string"),
                "answer": datasets.Value("string"),
                "traversal_path": datasets.Sequence(
                    {
                        "identifier": datasets.Value("string"),
                        "position": datasets.Sequence(datasets.Value("int32")),
                        "step": datasets.Value("int32"),
                        "ordinal_position": datasets.Value("int32"),
                    }
                ),
                "generation_details": {
                    "level_category": datasets.Value("string"),
                    "arr_level": datasets.Value("string"),
                    "n_of_objects_level": datasets.Value("string"),
                    "ordinal_value": datasets.Value("int32"),
                    "direction": datasets.Value("string"),
                    "turn_preference": datasets.Value("string"),
                    "total_objects": datasets.Value("int32"),
                    "grid_size": datasets.Value("int32"),
                    "source_layout_file": datasets.Value("string"),
                },
            }
        )

    def _split_generators(self, dl_manager):
        cfg = self.config.name

        path_map = {
            "2d_single_loop_standard": ("2d/single_loop_standard/annotations.jsonl", "2d/single_loop_standard/images"),
            "2d_maze_loop": ("2d/maze_loop/annotations.jsonl", "2d/maze_loop/images"),
        }

        anno_file, img_dir = path_map[cfg]

        return [
            datasets.SplitGenerator(
                name=datasets.Split.TEST,
                gen_kwargs={"img_dir": img_dir, "anno_file": anno_file},
            )
        ]

    # def _generate_examples(self, img_dir, anno_file):
    #     import json
    #     import os

    #     with open(anno_file, "r", encoding="utf-8") as f:
    #         for idx, line in enumerate(f):
    #             data = json.loads(line)
    #             yield idx, {
    #                 "image": os.path.join(img_dir, os.path.basename(data["image"])),
    #                 "annotation": json.dumps(data),  # 必要ならdictそのままでも可
    #             }

    def _generate_examples(self, img_dir, anno_file):
        import json
        import os

        with open(anno_file, "r", encoding="utf-8") as f:
            for idx, line in enumerate(f):
                ex = json.loads(line)

                # .pngファイルのパス生成（id → 拡張子追加）
                image_path = os.path.join(img_dir, f"{ex['image_id']}.png")

                # 出力（featuresに完全一致させる）
                yield idx, {
                    "qa_id": ex["qa_id"],
                    "image": image_path,
                    "question": ex["question"],
                    "start_object_id": ex["start_object_id"],
                    "directions": ex["directions"],
                    "turn_preferences": ex["turn_preferences"],
                    "ordinal_numbers": ex["ordinal_numbers"],
                    "ordinal_strings": ex["ordinal_strings"],
                    "ordinal_number_levels": ex["ordinal_number_levels"],
                    "arr_level": ex["arr_level"],
                    "n_of_objects_level": ex["n_of_objects_level"],
                    "answer": ex["answer"],
                    "traversal_path": ex["traversal_path"],
                    "generation_details": ex["generation_details"],
                }