space separated csv

ml-superb-subset.py

@@ -93,11 +93,23 @@ class MLSuperb(datasets.GeneratorBasedBuilder):
             reader = csv.reader(f, delimiter="\t", quoting=csv.QUOTE_NONE)
             if len(next(reader)) == 1:
                 reader = csv.reader(f, delimiter=" ", quoting=csv.QUOTE_NONE)
-            for row in reader:
-                id_ = row[0]
-                if not row[0].endswith(".wav"):
-                    row[0] += ".wav"
-                metadata[row[0]] = row[-1]
+                for row in reader:
+                    id_ = row[0]
+                    if not row[0].endswith(".wav"):
+                        row[0] += ".wav"
+                    metadata[row[0]] = " ".join(row[2:])
+
+                    yield id_, {
+                        "audio": wavs_path + row[0],
+                        "sentence": " ".join(row[2:]),
+                        "id": id_,
+                    }
+            else:
+                for row in reader:
+                    id_ = row[0]
+                    if not row[0].endswith(".wav"):
+                        row[0] += ".wav"
+                    metadata[row[0]] = row[-1]
 
                 yield id_, {
                         "audio": wavs_path + row[0],