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Upload RealXBench.py with huggingface_hub

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RealXBench.py ADDED
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+ """RealXBench dataset."""
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+
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+ import json
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+ import os
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+ from pathlib import Path
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+
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+ import datasets
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+
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+ _DESCRIPTION = """\
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+ RealXBench is a comprehensive visual question answering benchmark dataset.
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+ """
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+
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+ _HOMEPAGE = "https://huggingface.co/datasets/glowol/RealXBench"
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+
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+ _LICENSE = ""
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+
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+ _CITATION = """\
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+ @dataset{realxbench2024,
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+ title={RealXBench: A Real-World Visual Question Answering Benchmark},
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+ author={},
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+ year={2024},
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+ }
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+ """
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+
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+
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+ class RealXBench(datasets.GeneratorBasedBuilder):
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+ """RealXBench dataset."""
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+
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+ VERSION = datasets.Version("1.0.0")
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+
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+ BUILDER_CONFIGS = [
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+ datasets.BuilderConfig(
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+ name="default",
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+ version=VERSION,
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+ description="RealXBench dataset",
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+ ),
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+ ]
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+
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+ DEFAULT_CONFIG_NAME = "default"
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+
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+ def _info(self):
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+ return datasets.DatasetInfo(
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+ description=_DESCRIPTION,
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+ features=datasets.Features(
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+ {
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+ "query": datasets.Value("string"),
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+ "answer": datasets.Value("string"),
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+ "image": datasets.Image(),
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+ }
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+ ),
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+ homepage=_HOMEPAGE,
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+ license=_LICENSE,
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+ citation=_CITATION,
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+ )
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+
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+ def _split_generators(self, dl_manager):
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+ """Returns SplitGenerators."""
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+ data_dir = Path(__file__).parent
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+
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+ return [
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+ datasets.SplitGenerator(
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+ name=datasets.Split.TRAIN,
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+ gen_kwargs={
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+ "json_path": data_dir / "data.json",
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+ "images_dir": data_dir / "images",
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+ },
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+ ),
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+ ]
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+
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+ def _generate_examples(self, json_path, images_dir):
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+ """Yields examples."""
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+ with open(json_path, "r", encoding="utf-8") as f:
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+ data = json.load(f)
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+
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+ for idx, item in enumerate(data):
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+ image_path = images_dir / item["image"].replace("images/", "")
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+
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+ yield idx, {
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+ "query": item["query"],
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+ "answer": item["answer"],
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+ "image": str(image_path),
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+ }
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+