Update README.md

README.md

@@ -78,8 +78,6 @@ print(prediction[0])
 ## Evaluation
 For the evaluation use the code below:
 ```python
-pip install datasets
-pip install transformers
 import torch
 import torchaudio
 import librosa
@@ -114,7 +112,12 @@ def predict(batch):
     batch["prediction"] = processor.batch_decode(logits.numpy()).text
     return batch
     
-dataset = load_dataset("csv", data_files={"test":"path/to/your.csv"}, delimiter=",")["test"]
+dataset = load_dataset("csv", data_files={"test":"path/to/your.csv"}, delimiter=",")["test"] 
+```
+| path| reference|
+|---|---|
+| path to audio files | corresponding transcription|
+```
 dataset = dataset.map(speech_file_to_array_fn)
 
 result = dataset.map(predict, batched=True, batch_size=4)