Update README.md

README.md

@@ -41,7 +41,7 @@ import torchaudio
 from datasets import load_dataset
 from transformers import Wav2Vec2ForCTC, Wav2Vec2Processor
 
-test_dataset = load_dataset("common_voice", "fr", split="test[:2%]")
+test_dataset = load_dataset("common_voice", "fr")
 processor = Wav2Vec2Processor.from_pretrained("Nhut/wav2vec2-large-xlsr-53-french")
 model = Wav2Vec2ForCTC.from_pretrained("Nhut/wav2vec2-large-xlsr-53-french")
 resampler = torchaudio.transforms.Resample(48_000, 16_000)
@@ -77,7 +77,7 @@ from datasets import load_dataset, load_metric
 from transformers import Wav2Vec2ForCTC, Wav2Vec2Processor
 import re
 
-test_dataset = load_dataset("common_voice", "fr", split="test[:10%]")
+test_dataset = load_dataset("common_voice", "fr")
 wer = load_metric("wer")
 processor = Wav2Vec2Processor.from_pretrained("MehdiHosseiniMoghadam/wav2vec2-large-xlsr-53-French")
 model = Wav2Vec2ForCTC.from_pretrained("MehdiHosseiniMoghadam/wav2vec2-large-xlsr-53-French")
@@ -114,5 +114,4 @@ V1 of the Common Voice `train`, `validation` datasets were used for training.
 
 ## Testing
 
-
 V1 of the Common Voice `Test` dataset were used for training.