alvinxrwui commited on
Commit
0e85cd2
1 Parent(s): f780020

fix: change the download link

Browse files
Files changed (1) hide show
  1. su_id_asr_6.py +47 -52
su_id_asr_6.py CHANGED
@@ -27,7 +27,8 @@ _CITATION = """\
27
  """
28
 
29
  _DESCRIPTION = """\
30
- Test
 
31
  """
32
 
33
  _HOMEPAGE = "https://indonlp.github.io/nusa-catalogue/card.html?su_id_asr"
@@ -35,7 +36,9 @@ _HOMEPAGE = "https://indonlp.github.io/nusa-catalogue/card.html?su_id_asr"
35
  _LICENSE = "Attribution-ShareAlike 4.0 International."
36
 
37
  _URLs = {
38
- "su_id_asr": "https://www.openslr.org/resources/36/asr_sundanese_{}.zip",
 
 
39
  }
40
 
41
  _SUPPORTED_TASKS = [Tasks.SPEECH_RECOGNITION]
@@ -43,9 +46,8 @@ _SUPPORTED_TASKS = [Tasks.SPEECH_RECOGNITION]
43
  _SOURCE_VERSION = "1.0.0"
44
  _SEACROWD_VERSION = "2024.06.20"
45
 
46
- GROUP_DATASET_ID = 6
47
 
48
- class SuIdASR6(datasets.GeneratorBasedBuilder):
49
  """su_id contains ~220K utterances for Sundanese ASR training data."""
50
 
51
  BUILDER_CONFIGS = [
@@ -90,66 +92,59 @@ class SuIdASR6(datasets.GeneratorBasedBuilder):
90
  task_templates=[datasets.AutomaticSpeechRecognition(audio_column="audio", transcription_column="text")],
91
  )
92
 
93
- def _split_generators(self, dl_manager: datasets.DownloadManager):
94
- test_url = 'https://drive.google.com/file/d/1B3xhZHQ7d8Z0Baqfz_Abefo_i5Voizfi/view?usp=drive_link'
95
- train_url = 'https://drive.google.com/file/d/1vW7gfRr36WL7ezXzICJOkt3rYHViSWHr/view?usp=drive_link'
96
- val_url = 'https://drive.google.com/file/d/1wUWXmuAkMMZIlo5Is3M1Ndf6NcHa9jnf/view?usp=drive_link'
97
-
98
  return [
99
  datasets.SplitGenerator(
100
  name=datasets.Split.TRAIN,
101
- gen_kwargs={"file_list": dl_manager.download_and_extract(train_url)},
102
  ),
103
  datasets.SplitGenerator(
104
  name=datasets.Split.VALIDATION,
105
- gen_kwargs={"file_list": dl_manager.download_and_extract(val_url)},
106
  ),
107
  datasets.SplitGenerator(
108
  name=datasets.Split.TEST,
109
- gen_kwargs={"file_list": dl_manager.download_and_extract(test_url)},
110
- ),
111
  ]
112
 
113
- def _generate_examples(self, filepath: Dict):
114
 
115
  if self.config.schema == "source" or self.config.schema == "seacrowd_sptext":
116
-
117
- # Iterate through the dictionary that contains split paths
118
- for split, each_filepath in filepath.items():
119
-
120
- tsv_file = os.path.join(each_filepath, "asr_sundanese", "utt_spk_text.tsv")
121
-
122
- with open(tsv_file, "r") as file:
123
- tsv_reader = csv.reader(file, delimiter="\t")
124
-
125
- for line in tsv_reader:
126
- audio_id, speaker_id, transcription_text = line[0], line[1], line[2]
127
-
128
- wav_path = os.path.join(each_filepath, "asr_sundanese", "data", "{}".format(audio_id[:2]), "{}.flac".format(audio_id))
129
-
130
- if os.path.exists(wav_path):
131
- if self.config.schema == "source":
132
- ex = {
133
- "id": audio_id,
134
- "speaker_id": speaker_id,
135
- "path": wav_path,
136
- "audio": wav_path,
137
- "text": transcription_text,
138
- }
139
- yield audio_id, ex
140
- elif self.config.schema == "seacrowd_sptext":
141
- ex = {
142
- "id": audio_id,
143
- "speaker_id": speaker_id,
144
- "path": wav_path,
145
- "audio": wav_path,
146
- "text": transcription_text,
147
- "metadata": {
148
- "speaker_age": None,
149
- "speaker_gender": None,
150
- },
151
- }
152
- yield audio_id, ex
153
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
154
  else:
155
- raise ValueError(f"Invalid config: {self.config.name}")
 
27
  """
28
 
29
  _DESCRIPTION = """\
30
+ Sundanese ASR training data set containing ~15K utterances.
31
+ This dataset was collected by Google in Indonesia.
32
  """
33
 
34
  _HOMEPAGE = "https://indonlp.github.io/nusa-catalogue/card.html?su_id_asr"
 
36
  _LICENSE = "Attribution-ShareAlike 4.0 International."
37
 
38
  _URLs = {
39
+ "su_id_asr_6_train": "https://univindonesia-my.sharepoint.com/:u:/g/personal/alvin_xavier_office_ui_ac_id/EYBfoLbhgy9NidrtAA_Sg8YBNkNqdbbu9bKJRrQvWRrzKg?e=UqcdIq&download=1",
40
+ "su_id_asr_6_val": "https://univindonesia-my.sharepoint.com/:u:/g/personal/alvin_xavier_office_ui_ac_id/EdjN373g7hpGtucnj2m995cBZQ_DSJD8dBAbCW2ggrdtcQ?e=kSXB6H&download=1",
41
+ "su_id_asr_6_test": "https://univindonesia-my.sharepoint.com/:u:/g/personal/alvin_xavier_office_ui_ac_id/EUCwHQ2zGn5CpcO8bov4074BzsW4m_2Dk4MgU2Ks-TsmsQ?e=64IhTw&download=1",
42
  }
43
 
44
  _SUPPORTED_TASKS = [Tasks.SPEECH_RECOGNITION]
 
46
  _SOURCE_VERSION = "1.0.0"
47
  _SEACROWD_VERSION = "2024.06.20"
48
 
 
49
 
50
+ class SuIdASR(datasets.GeneratorBasedBuilder):
51
  """su_id contains ~220K utterances for Sundanese ASR training data."""
52
 
53
  BUILDER_CONFIGS = [
 
92
  task_templates=[datasets.AutomaticSpeechRecognition(audio_column="audio", transcription_column="text")],
93
  )
94
 
95
+ def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
 
 
 
 
96
  return [
97
  datasets.SplitGenerator(
98
  name=datasets.Split.TRAIN,
99
+ gen_kwargs={"filepath": dl_manager.download_and_extract(_URLs["su_id_asr_train"])},
100
  ),
101
  datasets.SplitGenerator(
102
  name=datasets.Split.VALIDATION,
103
+ gen_kwargs={"filepath": dl_manager.download_and_extract(_URLs["su_id_asr_val"])},
104
  ),
105
  datasets.SplitGenerator(
106
  name=datasets.Split.TEST,
107
+ gen_kwargs={"filepath": dl_manager.download_and_extract(_URLs["su_id_asr_test"])},
108
+ )
109
  ]
110
 
111
+ def _generate_examples(self, filepath: str):
112
 
113
  if self.config.schema == "source" or self.config.schema == "seacrowd_sptext":
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
114
 
115
+ tsv_file = os.path.join(filepath, "asr_sundanese", "utt_spk_text_6.tsv")
116
+
117
+ with open(tsv_file, "r") as file:
118
+ tsv_file = csv.reader(file, delimiter="\t")
119
+
120
+ for line in tsv_file:
121
+ audio_id, speaker_id, transcription_text = line[0], line[1], line[2]
122
+
123
+ wav_path = os.path.join(filepath, "asr_sundanese", "data", "{}".format(audio_id[:2]), "{}.flac".format(audio_id))
124
+
125
+ if os.path.exists(wav_path):
126
+ if self.config.schema == "source":
127
+ ex = {
128
+ "id": audio_id,
129
+ "speaker_id": speaker_id,
130
+ "path": wav_path,
131
+ "audio": wav_path,
132
+ "text": transcription_text,
133
+ }
134
+ yield audio_id, ex
135
+ elif self.config.schema == "seacrowd_sptext":
136
+ ex = {
137
+ "id": audio_id,
138
+ "speaker_id": speaker_id,
139
+ "path": wav_path,
140
+ "audio": wav_path,
141
+ "text": transcription_text,
142
+ "metadata": {
143
+ "speaker_age": None,
144
+ "speaker_gender": None,
145
+ },
146
+ }
147
+ yield audio_id, ex
148
+
149
  else:
150
+ raise ValueError(f"Invalid config: {self.config.name}")