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dataset_info.json

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+{
+  "description": "NIH Chest X-ray14 Dataset",
+  "citation": "@article{wang2017chestx,\n  title={Chestx-ray8: Hospital-scale chest x-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases},\n  author={Wang, Xiaosong and Peng, Yifan and Lu, Le and Lu, Zhiyong and Bagheri, Mohammadhadi and Summers, Ronald M},\n  journal={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2017}\n}",
+  "homepage": "https://www.nih.gov/news-events/news-releases/nih-clinical-center-provides-one-largest-publicly-available-chest-x-ray-datasets-scientific-community",
+  "license": "MIT",
+  "features": {
+    "image": {
+      "dtype": "image",
+      "description": "The chest X-ray image"
+    },
+    "labels": {
+      "dtype": "sequence",
+      "feature": {
+        "dtype": "string"
+      },
+      "description": "List of disease labels for the image"
+    },
+    "image_path": {
+      "dtype": "string",
+      "description": "Path to the original image file"
+    }
+  },
+  "splits": {
+    "train": {
+      "num_examples": 77872
+    },
+    "validation": {
+      "num_examples": 8652
+    },
+    "test": {
+      "num_examples": 25596
+    }
+  },
+  "labels": [
+    "Atelectasis",
+    "Cardiomegaly",
+    "Consolidation",
+    "Edema",
+    "Effusion",
+    "Emphysema",
+    "Fibrosis",
+    "Hernia",
+    "Infiltration",
+    "Mass",
+    "No Finding",
+    "Nodule",
+    "Pleural_Thickening",
+    "Pneumonia",
+    "Pneumothorax"
+  ]
+}