cahya
/

wav2vec2-large-xlsr-sundanese

Automatic Speech Recognition

xlsr-fine-tuning-week

Inference Endpoints

Model card Files Files and versions Community

cahya commited on Mar 29, 2021

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32bedde

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1 Parent(s): 1d0d0d2

updated redmae

Files changed (1) hide show

README.md +2 -2

README.md CHANGED Viewed

@@ -59,7 +59,7 @@ def load_dataset_sundanese():
     dfs = []
-    dfs.append(pd.read_csv(filenames[0], sep='\t\t', names=["path", "sentence"]))
     dfs.append(pd.read_csv(filenames[1], sep='\t\t', names=["path", "sentence"]))
     for i, dir in enumerate(data_dirs):
@@ -128,7 +128,7 @@ def load_dataset_sundanese():
     dfs = []
-    dfs.append(pd.read_csv(filenames[0], sep='\t\t', names=["path", "sentence"]))
     dfs.append(pd.read_csv(filenames[1], sep='\t\t', names=["path", "sentence"]))
     for i, dir in enumerate(data_dirs):

     dfs = []
+    dfs.append(pd.read_csv(filenames[0], sep='\t4?\t', names=["path", "sentence"]))
     dfs.append(pd.read_csv(filenames[1], sep='\t\t', names=["path", "sentence"]))
     for i, dir in enumerate(data_dirs):
     dfs = []
+    dfs.append(pd.read_csv(filenames[0], sep='\t4?\t', names=["path", "sentence"]))
     dfs.append(pd.read_csv(filenames[1], sep='\t\t', names=["path", "sentence"]))
     for i, dir in enumerate(data_dirs):