Update README.md

README.md

@@ -11,6 +11,8 @@ size_categories:
 - 10K<n<100K
 ---
 
+# PathVQA
+
 ## Dataset Description
 PathVQA is a dataset of question-answer pairs on pathology images. The dataset is intended to be used for training and testing 
 Medical Visual Question Answering (VQA) systems. The questions contained in the dataset are similar to those in the American 
@@ -37,5 +39,39 @@ and ranks models based on three metrics: "Yes/No Accuracy", "Free-form accuracy"
 the accuracy of a model's generated answers for the subset of binary "yes/no" questions. "Free-form accuracy" is the accuracy 
 of a model's generated answers for the subset of open-ended questions. "Overall accuracy" is the accuracy of a model's generated 
 answers across all questions.
+
+#### Languages
+The question-answer pairs are in English.
+
+## Dataset Structure
+
+### Data Instances
+Each instance consists of an image-question-answer triplet. The 'image' field is the filename of the referenced image, 
+excluding the file extension, which is '.jpg'. 
+
+Example from training dataset:
+```python
+{
+  'image': 'train_0001',
+  'question': 'What is the appearance of the chromatin texture,  with fine and coarse clumps?',
+  'answer': 'a salt-and-pepper pattern'
+}
+```
+Example from validation dataset:
+```python
+{
+  'image': 'val_0000',
+  'question': 'How are the organisms?',
+  'answer': 'somewhat variable in size'
+}
+```
+Example from test dataset:
+```python
+{
+  'image': 'test_0001',
+  'question': 'Is squamous cell carcinoma composed of nests of malignant cells that partially recapitulate the stratified organization of squamous epithelium?',
+  'answer': 'yes'
+}
+```