Update README.md

README.md

@@ -102,53 +102,37 @@ field, while the second does not．
 }
 ```
 
-
-### Data Instances
-To load datasets, you must specify a language.
-
-
-### English Example
-```Python
 from datasets import load_dataset
 
-dataset = load_dataset("naist-nlp/Wiki-ImageReview1.0", 'en')
+dataset = load_dataset("your-username/dataset-name", 'en')
 
 print(dataset)
 # DatasetDict({
 #     train: Dataset({
-#         features: ['id', 'image', 'image_url', 'genre', 'sentence_1', 'sentence_2', 'sentence_3', 'sentence_4', 'sentence_5', 'annotator_1', 'annotator_2', 'annotator_3', 'best_pair', 'best_pair_rho'],
-#         num_rows: 207
+#         features: ['id', 'title', 'conversations'],
+#         num_rows: X  # Replace X with the actual number of rows in your dataset
 #     })
 # })
-```
 
-### Japanese Example
-```Python
-from datasets import load_dataset
+# Example of accessing a single data instance
+example = dataset['train'][0]
+print(example)
+# {
+#   "id": "0001_T",
+#   "title": "Mona Lisa",
+#   "conversations": [
+#     {
+#       "from": "user",
+#       "value": "<img src='/images/Mona Lisa.jpg'></img>\nFocus on Mona Lisa and explore the history."
+#     },
+#     {
+#       "from": "assistant",
+#       "value": "Of Leonardo da Vinci’s works, the Mona Lisa is the only portrait whose authenticity...."
+#     }
+#   ]
+# }
 
-dataset = load_dataset("naist-nlp/Wiki-ImageReview1.0", 'ja')
-```
 
-An example of the English dataset is as follows:
-
-```JSON
-{
-  "id": "001",
-  "image": <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=242x300 at 0x7F9D26ED47C0>,
-  "image_url": "https://upload.wikimedia.org/wikipedia/commons/thumb/e/ec/Ardea_picata.jpg/242px-Ardea_picata.jpg",
-  "genre": "Animals",
-  "sentence_1": "This photograph captures the...",
-  "sentence_2": "The photographer has done...",
-  "sentence_3": "While the clarity of the image is...",
-  "sentence_4": "I believe the image fails to...",
-  "sentence_5": "The photograph stunningly showcases...",
-  "annotator_1": [1, 3, 4, 5, 2],
-  "annotator_2": [3, 1, 4, 5, 2],
-  "annotator_3": [1, 2, 3, 4, 5],
-  "best_pair": ["annotator_1", "annotator_3"],
-  "best_pair_rho": 0.4000000059604645
-}
-```