Set "image" column type to image instead

README.md

@@ -13,6 +13,27 @@ size_categories:
 - 1K<n<10K
 license: apache-2.0
 pretty_name: mmiq
+configs:
+- config_name: default
+  features:
+  - name: category
+    dtype: string
+  - name: question
+    dtype: string
+  - name: question_en
+    dtype: string
+  - name: question_zh
+    dtype: string
+  - name: image
+    dtype: image
+  - name: MD5
+    dtype: string
+  - name: data_id
+    dtype: int64
+  - name: answer
+    dtype: string
+  - name: split
+    dtype: string
 ---
 # Dataset Card for "MM-IQ"
 
@@ -112,10 +133,9 @@ print(dataset["test"][0])
 print(dataset["test"][0]['data_id']) # print the problem id 
 print(dataset["test"][0]['question']) # print the question text 
 print(dataset["test"][0]['answer']) # print the answer
-print(dataset["test"][0]['image']['path']) # print the image path
 # Display the image
 print("Image context:")
-display(Image(dataset["test"][0]['image']["bytes"]))
+display(dataset["test"][0]['image'])
 ```
 
 We have uploaded a demo to illustrate how to access the MM-IQ dataset on Hugging Face, available at [hugging_face_dataset_demo.ipynb](https://github.com/AceCHQ/MMIQ/blob/main/mmiq/jupyter_notebook_demos/hugging_face_dataset_demo.ipynb).
@@ -125,7 +145,7 @@ We have uploaded a demo to illustrate how to access the MM-IQ dataset on Hugging
 
 ### Data Format
 
-The dataset is provided in JSON format and contains the following attributes:
+The dataset is provided in Parquet format and contains the following attributes:
 
 ```json
 {
@@ -133,7 +153,7 @@ The dataset is provided in JSON format and contains the following attributes:
     "answer": [string] The correct answer for the problem,
     "data_id": [int] The problem id,
     "category": [string] The category of reasoning pattern,
-    "image": [dict] Containing image raw bytes and image path (corresponding to the image in data.zip),
+    "image": [image] Containing image (raw bytes and image path) corresponding to the image in data.zip,
 }
 ```