pls work

README.md

@@ -20,8 +20,7 @@ The MOT metrics takes two numeric arrays as input corresponding to the predictio
 >>> import numpy as np
 >>> module = evaluate.load("SEA-AI/mot-metrics")
 >>> predicted =[[1,1,10,20,30,40,0.85],[2,1,15,25,35,45,0.78],[2,2,55,65,75,85,0.95]]
->>> ground_truth = [[1, 1, 10, 20, 30, 40],[2, 1, 15, 25, 35, 45]]
-            
+>>> ground_truth = [[1, 1, 10, 20, 30, 40],[2, 1, 15, 25, 35, 45]]          
 >>> results = module._compute(predictions=predicted, references=ground_truth, max_iou=0.5)
 >>> results
 {'idf1': 0.8421052631578947, 'idp': 0.8888888888888888,
@@ -76,7 +75,9 @@ The output is a dictionary containing the following metrics:
 title = {A great new module},
 authors={huggingface, Inc.},
 year={2020}}
-
+```
+    
+```bibtex
 @article{milan2016mot16,
 title={MOT16: A benchmark for multi-object tracking},
 author={Milan, Anton and Leal-Taix{\'e}, Laura and Reid, Ian and Roth, Stefan and Schindler, Konrad},