Update README.md

README.md

@@ -143,7 +143,7 @@ processor = Wav2Vec2Processor.from_pretrained(MODEL_NAME)
 model = Wav2Vec2ForCTC.from_pretrained(MODEL_NAME)
 #Load the dataset
 from datasets import load_dataset, load_metric, Audio
-ds=load_dataset("common_voice", "es", split="test")
+ds=load_dataset("ciempiess/ciempiess_test", split="test")
 #Normalize the transcriptions
 import re
 chars_to_ignore_regex = '[\\,\\?\\.\\!\\\;\\:\\"\\“\\%\\‘\\”\\�\\)\\(\\*)]'
@@ -189,7 +189,7 @@ results = ds.map(map_to_result,remove_columns=ds.column_names)
 print("Test WER: {:.3f}".format(wer_metric.compute(predictions=results["pred_str"], references=results["sentence"])))
 
 ```
-**Test Result**: <unk>
+**Test Result**: 0.112
 # BibTeX entry and citation info
 *When publishing results based on these models please refer to:*
 ```bibtex