Update README.md

README.md

@@ -32,7 +32,7 @@ Deduplication of training data has showed various advantages, including:
 cf [Deduplicating Training Data Makes Language Models Better](https://arxiv.org/abs/2107.06499)
 
 
-## Deduplication script:
+## Deduplication script
 ```python
 import pandas as pd
 from datasets import load_dataset
@@ -46,7 +46,7 @@ df_filtered = df["text"].drop_duplicates()
 df_filtered.to_csv("bookcorpus_filtered.csv","index"=False,"header"=False)
 new_dataset = load_dataset("text",data_files={"train":"bookcorpus_filtered.csv"})
 ```
-
+The running time is short, less than several minutes.
 More sophicated deduplication algorithms can be applied to improve the performance, such as https://github.com/google-research/deduplicate-text-datasets
 
 ## Reference