Update README.md

README.md

@@ -29,4 +29,58 @@ license: apache-2.0
 task_categories:
 - image-classification
 - feature-extraction
----
+---
+
+## Dataset Structure
+This dataset contains vision data for chest X-ray pathology identification.
+
+### Data Fields
+- **image**: The PIL image of the chest X-ray. These images are size (224,224) by default.
+- **pathols**: A binary-valued (14)-shaped array that indicates whether each of the 14 pathologies is present.
+- **structs**: A binary-valued array of shapes (14,224,224) that gives the segmentation for each of the 14 anatomical structures.
+
+The 14 pathologies are:
+
+  0. Atelectasis
+  1. Cardiomegaly
+  2. Consolidation
+  3. Edema
+  4. Effusion
+  5. Emphysema
+  6. Fibrosis
+  7. Hernia
+  8. Infiltration
+  9. Mass
+  10. Nodule
+  11. Pleural Thickening
+  12. Pneumonia
+  13. Pneumothorax
+
+The 14 anatomical structures are:
+
+  0. Left Clavicle
+  1. Right Clavicle
+  2. Left Scapula
+  3. Right Scapula
+  4. Left Lung
+  5. Right Lung
+  6. Left Hilus Pulmonis
+  7. Right Hilus Pulmonis
+  8. Heart
+  9. Aorta
+  10. Facies Diaphragmatica
+  11. Mediastinum
+  12. Weasand
+  13. Spine
+
+### Data Splits
+- **train**: 23094 samples
+- **test**: 5774 samples
+
+
+## Usage
+```
+from datasets import load_dataset
+train_dataset = load_dataset("BrachioLab/chestx", split="train")
+test_dataset = load_dataset("BrachioLab/chestx", split="test")
+```