updated readme

README.md

@@ -61,17 +61,27 @@ Load the dataset via the `datasets` library with automatic audio decoding:
 
 ```python
 from datasets import load_dataset, Audio
-dataset = load_dataset(
-  "pianistprogrammer/Meter2800",
-  data_files={
-    "train_4": "data_train_4_classes.csv",
-    "val_4": "data_val_4_classes.csv",
-    "test_4": "data_test_4_classes.csv",
-    "train_2": "data_train_2_classes.csv",
-    "val_2": "data_val_2_classes.csv",
-    "test_2": "data_test_2_classes.csv"
-  }
-)
+
+meter2800 = load_dataset("pianistprogrammer/meter2800", name="4_classes")
+```
+
+The output should look like this
+
+```python
+DatasetDict({
+    train: Dataset({
+        features: ['filename', 'audio', 'label', 'meter', 'alt_meter'],
+        num_rows: 1680
+    })
+    validation: Dataset({
+        features: ['filename', 'audio', 'label', 'meter', 'alt_meter'],
+        num_rows: 420
+    })
+    test: Dataset({
+        features: ['filename', 'audio', 'label', 'meter', 'alt_meter'],
+        num_rows: 700
+    })
+})
 
 
 Each entry in the dataset contains: