Release: 2.0.0

Commit from https://github.com/huggingface/datasets/commit/983f46ddae2f5b253db2b3c5691d38c75241cadb

timit_asr.py

@@ -137,11 +137,11 @@ class TimitASR(datasets.GeneratorBasedBuilder):
             wav_path = os.path.join(data_path, *(audio_data["path_from_data_dir"].split("/")))
 
             # extract transcript
-            with open(wav_path.replace(".WAV", ".TXT"), "r", encoding="utf-8") as op:
+            with open(wav_path.replace(".WAV", ".TXT"), encoding="utf-8") as op:
                 transcript = " ".join(op.readlines()[0].split()[2:])  # first two items are sample number
 
             # extract phonemes
-            with open(wav_path.replace(".WAV", ".PHN"), "r", encoding="utf-8") as op:
+            with open(wav_path.replace(".WAV", ".PHN"), encoding="utf-8") as op:
                 phonemes = [
                     {
                         "start": i.split(" ")[0],
@@ -152,7 +152,7 @@ class TimitASR(datasets.GeneratorBasedBuilder):
                 ]
 
             # extract words
-            with open(wav_path.replace(".WAV", ".WRD"), "r", encoding="utf-8") as op:
+            with open(wav_path.replace(".WAV", ".WRD"), encoding="utf-8") as op:
                 words = [
                     {
                         "start": i.split(" ")[0],