dataset.py

import json
import os
import datasets

# Define the dataset
class M3Retrieve(datasets.GeneratorBasedBuilder):
    VERSION = datasets.Version("1.0.0")

    def _info(self):
        return datasets.DatasetInfo(
            description="M3Retrieve: Benchmarking Multimodal Retrieval for Medicine",
            features={
                "queries": {
                    "_id": datasets.Value("string"),
                    "caption": datasets.Value("string"),
                    "image_path": datasets.Value("string"),
                },
                "corpus": {
                    "_id": datasets.Value("string"),
                    "text": datasets.Value("string"),
                },
                "qrels": {
                    "query-id": datasets.Value("string"),
                    "corpus-id": datasets.Value("string"),
                    "score": datasets.Value("float32"),
                },
            },
            supervised_keys=None,
        )

    def _split_generators(self, dl_manager):
        """Returns SplitGenerators."""
        data_dir = dl_manager.download_and_extract(self.config.data_dir)

        return [
            datasets.SplitGenerator(
                name="queries",
                gen_kwargs={"filepath": os.path.join(data_dir, "queries.jsonl"), "key": "queries"},
            ),
            datasets.SplitGenerator(
                name="corpus",
                gen_kwargs={"filepath": os.path.join(data_dir, "corpus.jsonl"), "key": "corpus"},
            ),
            datasets.SplitGenerator(
                name="qrels",
                gen_kwargs={"filepath": os.path.join(data_dir, "qrels/test.tsv"), "key": "qrels"},
            ),
        ]

    def _generate_examples(self, filepath, key):
        """Yields examples as (key, example) tuples."""
        if key in ["queries", "corpus"]:
            with open(filepath, "r", encoding="utf-8") as f:
                for i, line in enumerate(f):
                    data = json.loads(line)
                    yield i, data
        elif key == "qrels":
            with open(filepath, "r", encoding="utf-8") as f:
                for i, line in enumerate(f):
                    query_id, corpus_id, score = line.strip().split("\t")
                    yield i, {"query-id": query_id, "corpus-id": corpus_id, "score": float(score)}