Update NST.py

NST.py

@@ -140,7 +140,7 @@ class Nst(datasets.GeneratorBasedBuilder):
                 "microphone_position": datasets.Value("string"),
                 # Metadata
                 "pid": datasets.Value("string"),  # "no14xx31-24012000-1820",
-                "age": datasets.Value("int32"),  # 18,
+                "age": datasets.Value("int32"),  # 18,
                 "region_of_birth": datasets.Value("string"),  # "Voss og omland",
                 "region_of_youth": datasets.Value("string"),  # "Voss og omland",
                 "remarks": datasets.Value("string"),  # "Some text",
@@ -165,19 +165,19 @@ class Nst(datasets.GeneratorBasedBuilder):
                 "frequency": datasets.Value("int32"),  # 16000,
                 "memo": datasets.Value("string"),  # "",
                 "script": datasets.Value("string"),  # "464",
-                "version": datasets.Value("string"),  # "0001_1",
-                "dst": datasets.Value("string"),  # "0",
-                "noi": datasets.Value("string"),  # "0",
-                "qua": datasets.Value("string"),  # "X",
-                "snd": datasets.Value("string"),  # "0",
-                "spc": datasets.Value("string"),  # "0",
-                "utt": datasets.Value("string"),  # "0",
-                "file": datasets.Value("string"),  # "u0006733.wav",
-                "t0": datasets.Value("int32"),  # 417024,
-                "t1": datasets.Value("int32"),  # 249777024,
-                "t2": datasets.Value("int32"),  # 250193024,
-                "text": datasets.Value("string"),  # "Selv rett utenfor administrasjonsbygningen er det anlagt en liten fotballbane.",
-                "type": datasets.Value("string"),  # "ISp71",
+                "version": datasets.Value("string"),  # "0001_1",
+                "dst": datasets.Value("string"),  # "0",
+                "noi": datasets.Value("string"),  # "0",
+                "qua": datasets.Value("string"),  # "X",
+                "snd": datasets.Value("string"),  # "0",
+                "spc": datasets.Value("string"),  # "0",
+                "utt": datasets.Value("string"),  # "0",
+                "file": datasets.Value("string"),  # "u0006733.wav",
+                "t0": datasets.Value("int32"),  # 417024,
+                "t1": datasets.Value("int32"),  # 249777024,
+                "t2": datasets.Value("int32"),  # 250193024,
+                "text": datasets.Value("string"),  # "Selv rett utenfor administrasjonsbygningen er det anlagt en liten fotballbane.",
+                "type": datasets.Value("string"),  # "ISp71",
             }),
             supervised_keys=None,
             homepage=_HOMEPAGE,
@@ -194,14 +194,14 @@ class Nst(datasets.GeneratorBasedBuilder):
         """Returns SplitGenerators."""
         data_urls = {}
         lang_code, mic = self.config.name.split("-")
-        if lang_code == "both":
-            lang_codes = ["close", "distant"]
+        if mic == "both":
+            mics = ["close", "distant"]
         else:
-            lang_codes = [lang_code]
+            mics = [mic]
         for split in ["train", "test"]:
             data_urls[split] = []
-            for lang_code in lang_codes:
-                shard_total = _SHARDS[lang_code][split]
+            for mic in mics:
+                shard_total = _SHARDS[mic][split]
                 for shard_idx in range(1, shard_total + 1):
                     # .../data/{split}/nst_{lang_code}_{split}_{mic}-{shard_idx}-of-{shard_total}
                     string_formating = dict(