Update README.md

README.md

@@ -25,9 +25,7 @@ features:
 - name: answer
   dtype: string
 - name: image
-  feature:
-    _type: Image
-    decode: true
+  dtype: image
 ---
 
 # ScienceOlympiad: Challenging AI with Olympiad-Level Multimodal Science Problems
@@ -69,14 +67,31 @@ The dataset is composed of a curated collection of problems from three sources:
 You can load the dataset using the Hugging Face `datasets` library:
 
 ```python
-from datasets import load_dataset
+from datasets import load_dataset, Image
+import matplotlib.pyplot as plt
+import datasets
+
+# Force a redownload to get the latest metadata
+features = datasets.Features({
+    'problem_id': datasets.Value('string'),
+    'discipline': datasets.ClassLabel(names=['Physics', 'Chemistry']),
+    'problem': {
+        'en': datasets.Value('string'),
+        'zh': datasets.Value('string'),
+    },
+    'answer': datasets.Value('string'),
+    'image': datasets.Image(decode=True),
+})
+ds = load_dataset("ByteDance-Seed/ScienceOlympiad", features=features)
+test_ds = ds['test']
 
-ds = load_dataset("ByteDance-Seed/ScienceOlympiad")
+example = test_ds[60]
+image_data = example['image']
 
-# Access the test split
-test_ds = ds['test']
 
-print(test_ds[0])
+if image_data:
+    plt.imshow(image_data)
+    plt.show()
 ```
 
 ## Citation