Minor Fix

README.md

@@ -28,7 +28,7 @@ This metric implements the evaluation harness for datasets translated with the B
 4. Run the metric on the `predictions`, `languages`, and `question_infos`.
 5. The result of the metric is a tuple where the first is a metric dict and the second value is the results for each prediction.
 
-```python
+```Python
 import evaluate
 from datasets import load_dataset
 import os
@@ -46,7 +46,6 @@ for row in ds:
     # Replace this with however you generate and postprocess predictions.
     predictions.append(model.generate(row['signature_with_docstring']))
     
-
 metric = evaluate.load("bc_eval")
 metrics, results = metric.compute(
     predictions=predictions, languages=languages, question_dicts=question_infos, k=[1]