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import json |
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import os |
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import datasets |
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from huggingface_hub import hf_hub_url |
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_CITATION = "" |
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_DESCRIPTION = """This is the public dataset for the realms adventurer generator. |
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It contains images of characters and annotations to form structured captions.""" |
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_HOMEPAGE = "" |
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_LICENSE = "https://docs.midjourney.com/docs/terms-of-service" |
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_URLS = { |
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"images": hf_hub_url( |
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"rvorias/realms_adventurers", |
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filename="images_001.zip", |
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subfolder="data", |
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repo_type="dataset", |
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), |
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"metadata": hf_hub_url( |
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"rvorias/realms_adventurers", |
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filename=f"metadata.json", |
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repo_type="dataset", |
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), |
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} |
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class RealmsAdventurersDataset(datasets.GeneratorBasedBuilder): |
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"""Public dataset for the realms adventurer generator. |
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Containts images + structured captions.""" |
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VERSION = datasets.Version("1.0.0") |
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def _info(self): |
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features = datasets.Features( |
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{ |
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"image": datasets.Image(), |
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"caption": datasets.Value("string"), |
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"components": { |
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"sex": datasets.Value("string"), |
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"race": datasets.Value("string"), |
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"class": datasets.Value("string"), |
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"inherent_features": datasets.Value("string"), |
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"clothing": datasets.Value("string"), |
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"accessories": datasets.Value("string"), |
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"background": datasets.Value("string"), |
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"shot": datasets.Value("string"), |
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"view": datasets.Value("string"), |
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} |
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} |
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) |
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return datasets.DatasetInfo( |
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description=_DESCRIPTION, |
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features=features, |
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supervised_keys=("image", "caption"), |
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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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def _split_generators(self, dl_manager): |
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images_url = _URLS["images"] |
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images_dir = dl_manager.download_and_extract(images_url) |
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annotations_url = _URLS["metadata"] |
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annotations_path = dl_manager.download(annotations_url) |
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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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"root_dir": images_dir, |
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"metadata_path": annotations_path, |
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}, |
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), |
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] |
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def _generate_examples(self, root_dir, metadata_path): |
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with open(metadata_path, encoding="utf-8") as f: |
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data = json.load(f) |
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for sample in data: |
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image_path = os.path.join(root_dir, sample["file_name"]) |
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if "caption" in sample: |
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caption = sample["caption"] |
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elif "discord_prompt" in sample: |
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caption = sample["discord_prompt"] |
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else: |
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continue |
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with open(image_path, "rb") as file_obj: |
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yield image_path, { |
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"image": {"path": image_path, "bytes": file_obj.read()}, |
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"caption": caption, |
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"components": { |
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"sex": sample.get("sex"), |
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"race": sample.get("race"), |
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"class": sample.get("class"), |
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"inherent_features": sample.get("inherent_features"), |
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"clothing": sample.get("clothing"), |
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"accessories": sample.get("accessories"), |
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"background": sample.get("background"), |
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"shot": sample.get("shot"), |
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"view": sample.get("view"), |
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}, |
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} |
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