Duplicate from danjacobellis/chexpert

Co-authored-by: Dan Jacobellis <danjacobellis@users.noreply.huggingface.co>

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README.md

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+---
+dataset_info:
+  features:
+  - name: Path
+    dtype: string
+  - name: Sex
+    dtype:
+      class_label:
+        names:
+          '0': Male
+          '1': Female
+  - name: Age
+    dtype: int64
+  - name: Frontal/Lateral
+    dtype:
+      class_label:
+        names:
+          '0': Frontal
+          '1': Lateral
+  - name: AP/PA
+    dtype:
+      class_label:
+        names:
+          '0': AP
+          '1': PA
+          '2': ''
+  - name: No Finding
+    dtype:
+      class_label:
+        names:
+          '0': unlabeled
+          '1': uncertain
+          '2': absent
+          '3': present
+  - name: Enlarged Cardiomediastinum
+    dtype:
+      class_label:
+        names:
+          '0': unlabeled
+          '1': uncertain
+          '2': absent
+          '3': present
+  - name: Cardiomegaly
+    dtype:
+      class_label:
+        names:
+          '0': unlabeled
+          '1': uncertain
+          '2': absent
+          '3': present
+  - name: Lung Opacity
+    dtype:
+      class_label:
+        names:
+          '0': unlabeled
+          '1': uncertain
+          '2': absent
+          '3': present
+  - name: Lung Lesion
+    dtype:
+      class_label:
+        names:
+          '0': unlabeled
+          '1': uncertain
+          '2': absent
+          '3': present
+  - name: Edema
+    dtype:
+      class_label:
+        names:
+          '0': unlabeled
+          '1': uncertain
+          '2': absent
+          '3': present
+  - name: Consolidation
+    dtype:
+      class_label:
+        names:
+          '0': unlabeled
+          '1': uncertain
+          '2': absent
+          '3': present
+  - name: Pneumonia
+    dtype:
+      class_label:
+        names:
+          '0': unlabeled
+          '1': uncertain
+          '2': absent
+          '3': present
+  - name: Atelectasis
+    dtype:
+      class_label:
+        names:
+          '0': unlabeled
+          '1': uncertain
+          '2': absent
+          '3': present
+  - name: Pneumothorax
+    dtype:
+      class_label:
+        names:
+          '0': unlabeled
+          '1': uncertain
+          '2': absent
+          '3': present
+  - name: Pleural Effusion
+    dtype:
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+          '3': present
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+    dtype:
+      class_label:
+        names:
+          '0': unlabeled
+          '1': uncertain
+          '2': absent
+          '3': present
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+    dtype:
+      class_label:
+        names:
+          '0': unlabeled
+          '1': uncertain
+          '2': absent
+          '3': present
+  - name: image
+    dtype: image
+  splits:
+  - name: train
+    num_bytes: 11163990852.674
+    num_examples: 223414
+  - name: validation
+    num_bytes: 12063657
+    num_examples: 234
+  download_size: 11466560036
+  dataset_size: 11176054509.674
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+  - split: validation
+    path: data/validation-*
+task_categories:
+- image-classification
+pretty_name: chexpert
+size_categories:
+- 100K<n<1M
+---
+
+# CheXpert
+
+CheXpert is a large dataset of chest X-rays and competition for automated chest x-ray interpretation, which features uncertainty labels and radiologist-labeled reference standard evaluation sets.
+
+[https://stanfordmlgroup.github.io/competitions/chexpert/](https://stanfordmlgroup.github.io/competitions/chexpert/)
+
+# Warning on AP/PA label
+
+I could not find in the paper a mapping from the 0/1 label to AP/PA, so I assumed 0=AP and 1=PA. Looking at a few images this seems to be correct, but I'm not a radiologist.
+
+```
+@inproceedings{irvin2019chexpert,
+  title={Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison},
+  author={Irvin, Jeremy and Rajpurkar, Pranav and Ko, Michael and Yu, Yifan and Ciurea-Ilcus, Silviana and Chute, Chris and Marklund, Henrik and Haghgoo, Behzad and Ball, Robyn and Shpanskaya, Katie and others},
+  booktitle={Proceedings of the AAAI conference on artificial intelligence},
+  volume={33},
+  number={01},
+  pages={590--597},
+  year={2019}
+}
+```

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