Minor

README.md

@@ -34,14 +34,14 @@ Sem-F1 takes 2 mandatory arguments:
 from evaluate import load
 
 predictions = [
-    ["I go to School.", "You are stupid."],
+    ["I go to School. You are stupid."],
     ["I love adventure sports."],
 ]
 references = [
-    ["I go to School.", "You are stupid."],
+    ["I go to School. You are stupid."],
     ["I love outdoor sports."],
 ]
-metric = load("semf1")
+metric = load("nbansal/semf1")
 results = metric.compute(predictions=predictions, references=references)
 for score in results:
     print(f"Precision: {score.precision}, Recall: {score.recall}, F1: {score.f1}")
@@ -58,11 +58,12 @@ Sem-F1 also accepts multiple optional arguments:
    - `batch_size (int)`: Batch size for encoding. Default: 32.
    - `verbose (bool)`: Flag to indicate verbose output. Default: False.
 
-Refer to the inputs descriptions for more detailed usage as follows
+Refer to the inputs descriptions for more detailed usage as follows:
+
 ```python
 import evaluate
-metric = evaluate.load("semf1")
-metric.inputs_description
+metric = evaluate.load("nbansal/semf1")
+print(metric.inputs_description)
 ```