Initial commit

These files are added according to the fill50k dataset. Future changes in the structure might be needed.

Distorted_Human_Images.py

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+import pandas as pd
+from huggingface_hub import hf_hub_url
+import datasets
+import os
+
+_VERSION = datasets.Version("0.0.1")
+
+_DESCRIPTION = "TODO"
+_HOMEPAGE = "TODO"
+_LICENSE = "TODO"
+_CITATION = "TODO"
+
+_FEATURES = datasets.Features(
+    {
+        "flawless": datasets.Image(),
+        "distorted": datasets.Image(),
+        "mask": datasets.Image(),
+        "original": datasets.Image(),
+        "prompt": datasets.Value("string"),
+    },
+)
+
+METADATA_URL = hf_hub_url(
+    "NegarMov/Distorted_Human_Images",
+    filename="train.jsonl",
+    repo_type="dataset",
+)
+
+FLAWLESS_URL = hf_hub_url(
+    "NegarMov/Distorted_Human_Images",
+    filename="flawless.zip",
+    repo_type="dataset",
+)
+
+DISTORTED_URL = hf_hub_url(
+    "NegarMov/Distorted_Human_Images",
+    filename="distorted.zip",
+    repo_type="dataset",
+)
+
+MASK_URL = hf_hub_url(
+    "NegarMov/Distorted_Human_Images",
+    filename="mask.zip",
+    repo_type="dataset",
+)
+
+ORIGINAL_URL = hf_hub_url(
+    "NegarMov/Distorted_Human_Images",
+    filename="original.zip",
+    repo_type="dataset",
+)
+
+_DEFAULT_CONFIG = datasets.BuilderConfig(name="default", version=_VERSION)
+
+
+class Distorted_Human_Images(datasets.GeneratorBasedBuilder):
+    BUILDER_CONFIGS = [_DEFAULT_CONFIG]
+    DEFAULT_CONFIG_NAME = "default"
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=_FEATURES,
+            supervised_keys=None,
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        metadata_path = dl_manager.download(METADATA_URL)
+        flawless_dir = dl_manager.download_and_extract(
+            FLAWLESS_URL
+        )
+        distorted_dir = dl_manager.download_and_extract(
+            DISTORTED_URL
+        )
+        mask_dir = dl_manager.download_and_extract(
+            MASK_URL
+        )
+        original_dir = dl_manager.download_and_extract(
+            ORIGINAL_URL
+        )
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={
+                    "metadata_path": metadata_path,
+                    "flawless_dir": flawless_dir,
+                    "distorted_dir": distorted_dir,
+                    "mask_dir": mask_dir,
+                    "original_dir": original_dir,
+                },
+            ),
+        ]
+
+    def _generate_examples(self, metadata_path, flawless_dir, distorted_dir, mask_dir, original_dir):
+        metadata = pd.read_json(metadata_path, lines=True)
+
+        for _, row in metadata.iterrows():
+            prompt = row["prompt"]
+
+            flawless_path = row["flawless"]
+            flawless_path = os.path.join(flawless_dir, flawless_path)
+            flawless = open(flawless_path, "rb").read()
+
+            distorted_path = row["distorted"]
+            distorted_path = os.path.join(
+                distorted_dir, row["distorted"]
+            )
+            distorted = open(distorted_path, "rb").read()
+
+            mask_path = row["mask"]
+            mask_path = os.path.join(
+                mask_dir, row["mask"]
+            )
+            mask = open(mask_path, "rb").read()
+
+            original_path = row["original"]
+            original_path = os.path.join(
+                original_dir, row["original"]
+            )
+            original = open(original_path, "rb").read()
+
+            yield row["flawless"], {
+                "prompt": prompt,
+                "flawless": {
+                    "path": flawless_path,
+                    "bytes": flawless,
+                },
+                "distorted": {
+                    "path": distorted_path,
+                    "bytes": distorted,
+                },
+                "mask": {
+                    "path": mask_path,
+                    "bytes": mask,
+                },
+                "original": {
+                    "path": original_path,
+                    "bytes": original,
+                },
+            }

distorted.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:6a8680a11aee35929216c297b56b33ad84d4cb8ef625cdf6fe4a95a52340c437
+size 1680046

flawless.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a25df9b1c4f422c6cce3dd4a8fc8847a22e18e10d32098bb43c90a51f2a842fd
+size 141708

mask.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:646c1ba8b3bba95d601c334765a23fb5f07b2567dfba2791e0f9c7d4232f8f0e
+size 10643

original.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:05c14933796dc76fa0d38510aa02176d69e9b332f95917c19faf2b0a4275f26a
+size 115824

train.jsonl

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+{"prompt": "high quality, detailed, professional photograph of a woman standing", "flawless": "flawless/1.png", "distorted": "distorted/1.png", "mask": "mask/1.png", original: "original/1.png"}
+{"prompt": "high quality, detailed, professional photograph of a woman standing", "flawless": "flawless/2.png", "distorted": "distorted/2.png", "mask": "mask/2.png", original: "original/2.png"}
+{"prompt": "high quality, detailed, professional photograph of a woman standing", "flawless": "flawless/3.png", "distorted": "distorted/3.png", "mask": "mask/3.png", original: "original/3.png"}
+{"prompt": "high quality, detailed, professional photograph of a woman standing", "flawless": "flawless/4.png", "distorted": "distorted/4.png", "mask": "mask/4.png", original: "original/4.png"}
+{"prompt": "high quality, detailed, professional photograph of a woman standing", "flawless": "flawless/5.png", "distorted": "distorted/5.png", "mask": "mask/5.png", original: "original/5.png"}
+{"prompt": "high quality, detailed, professional photograph of a woman standing", "flawless": "flawless/6.png", "distorted": "distorted/6.png", "mask": "mask/6.png", original: "original/6.png"}
+{"prompt": "high quality, detailed, professional photograph of a woman standing", "flawless": "flawless/7.png", "distorted": "distorted/7.png", "mask": "mask/7.png", original: "original/7.png"}
+{"prompt": "high quality, detailed, professional photograph of a woman standing", "flawless": "flawless/8.png", "distorted": "distorted/8.png", "mask": "mask/8.png", original: "original/8.png"}