Upload dataset and images to CG2RealDataset3

CG2RealDataset.csv

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+input_image_path;conditioning_image_path;image_caption
+input_image/image1.jpg;conditioning_image/image1.jpg;Woman with white shirt
+input_image/image2.jpg;conditioning_image/image2.jpg;Woman with white shirt

CG2RealDataset/6954658bab30a358235fa864b05cf819af0e179325c740e4bc853bcc7ec513e1/dataset_info.json

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+{"description": "", "citation": "", "homepage": "", "license": "", "features": {"input_image": {"dtype": "string", "_type": "Value"}, "conditioning_image": {"dtype": "float64", "_type": "Value"}, "image_caption": {"dtype": "float64", "_type": "Value"}}, "builder_name": "csv", "config_name": "default", "version": {"version_str": "0.0.0", "major": 0, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 266, "num_examples": 3, "dataset_name": "csv"}}, "download_checksums": {"/Users/alexandrelordelo/CG2RealDataset2/CG2RealDataset.csv": {"num_bytes": 208, "checksum": null}}, "download_size": 208, "dataset_size": 266, "size_in_bytes": 474}

CG2RealDataset/dataset_info.json

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+{
+  "citation": "",
+  "description": "",
+  "features": {
+    "train": {
+      "conditioning_image": {
+        "dtype": "null",
+        "_type": "Value"
+      },
+      "image_caption": {
+        "dtype": "null",
+        "_type": "Value"
+      },
+      "input_image": {
+        "dtype": "string",
+        "_type": "Value"
+      }
+    }
+  },
+  "homepage": "",
+  "license": ""
+}

CG2RealDataset/state.json

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+{
+  "_data_files": [
+    {
+      "filename": "data-00000-of-00001.arrow"
+    }
+  ],
+  "_fingerprint": "f5f5b0d9c9ff429d",
+  "_format_columns": null,
+  "_format_kwargs": {},
+  "_format_type": null,
+  "_output_all_columns": false,
+  "_split": null
+}

load.py

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+from datasets import Dataset, DatasetDict
+
+def load_dataset():
+    data = {
+        "train": {
+            "input_image": ["input_image/image1.jpeg"],
+            "conditioning_image": ["conditioning_image/image1.jpeg"],
+            "image_caption": ["Example caption"],
+        },
+        # Add more samples here
+    }
+    dataset_dict = DatasetDict({split: Dataset.from_dict(samples) for split, samples in data.items()})
+    return dataset_dict

load_and_check_dataset.py

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+from load import load_dataset
+
+dataset = load_dataset()
+
+print("Column names: ", dataset["train"].column_names)
+print("Sample data: ", dataset["train"][0])

load_dataset.py

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+from datasets import load_dataset, Dataset
+
+data_files = ['/Users/alexandrelordelo/CG2RealDataset2/CG2RealDataset.csv']
+dataset = load_dataset(
+    'csv',
+    data_files=data_files,
+    column_names=["input_image", "conditioning_image", "image_caption"],
+    delimiter=',',
+    quotechar='"',
+    quoting=0,
+)
+
+dataset = Dataset.from_dict(dataset)  # Convert the dataset to a Hugging Face Dataset object
+dataset.save_to_disk('/Users/alexandrelordelo/CG2RealDataset2/CG2RealDataset')  # Save the dataset to a folder