Update README.md

README.md

@@ -59,7 +59,7 @@ from datasets import load_dataset
 from transformers import AutoModelForCTC, AutoProcessor
 import torchaudio.functional as F
 model_id = "kingabzpro/wav2vec2-large-xlsr-300-arabic"
-sample_iter = iter(load_dataset("mozilla-foundation/common_voice_8_0", "ur", split="test", streaming=True, use_auth_token=True))
+sample_iter = iter(load_dataset("mozilla-foundation/common_voice_8_0", "ar", split="test", streaming=True, use_auth_token=True))
 sample = next(sample_iter)
 resampled_audio = F.resample(torch.tensor(sample["audio"]["array"]), 48_000, 16_000).numpy()
 model = AutoModelForCTC.from_pretrained(model_id)