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README.md

@@ -243,7 +243,7 @@ device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 processor = Wav2Vec2Processor.from_pretrained("m3hrdadfi/wav2vec2-large-xlsr-georgian")
 model = Wav2Vec2ForCTC.from_pretrained("m3hrdadfi/wav2vec2-large-xlsr-georgian").to(device)
 
-dataset = load_dataset("common_voice", "ka", split="test[:1%]")
+dataset = load_dataset("common_voice", "ka", split="test")
 dataset = dataset.map(
     normalizer, 
     fn_kwargs={"chars_to_ignore": chars_to_ignore, "chars_to_mapping": chars_to_mapping},