Hugging Face's logo

Datasets:
yuekai
/
aishell

Dataset card Files Community
yuekai commited on
Commit
b563d87
·
verified ·
1 Parent(s): 685aaee

Update aishell1.py

Browse files
Files changed (1) hide show
  1. aishell1.py +83 -71
aishell1.py CHANGED
@@ -137,77 +137,89 @@ class Aishell(datasets.GeneratorBasedBuilder):
137
 
138
  # meta_paths = dl_manager.download_and_extract(meta_urls)
139
  meta_paths = dl_manager.download(meta_urls)
140
-
141
- if self.config.name not in {"dev", "test"}:
142
- result = [
143
- datasets.SplitGenerator(
144
- name=datasets.Split.TRAIN,
145
- gen_kwargs={
146
- "audio_archives_iterators": [
147
- dl_manager.iter_archive(archive_path) for archive_path in audio_archives_paths["train"]
148
- ],
149
- "local_audio_archives_paths": local_audio_archives_paths[
150
- "train"] if local_audio_archives_paths else None,
151
- "meta_paths": meta_paths["train"]
152
- },
153
- )
154
- ]
155
- if 'dev' in audio_archives_paths:
156
- result.append(datasets.SplitGenerator(
157
- name=datasets.Split.VALIDATION,
158
- gen_kwargs={
159
- "audio_archives_iterators": [
160
- dl_manager.iter_archive(archive_path) for archive_path in audio_archives_paths["dev"]
161
- ],
162
- "local_audio_archives_paths": local_audio_archives_paths[
163
- "dev"] if local_audio_archives_paths else None,
164
- "meta_paths": meta_paths["dev"]
165
- },
166
- ))
167
- if 'test' in audio_archives_paths:
168
- result.append(datasets.SplitGenerator(
169
- name=datasets.Split.TEST,
170
- gen_kwargs={
171
- "audio_archives_iterators": [
172
- dl_manager.iter_archive(archive_path) for archive_path in audio_archives_paths["test"]
173
- ],
174
- "local_audio_archives_paths": local_audio_archives_paths[
175
- "test"] if local_audio_archives_paths else None,
176
- "meta_paths": meta_paths["test"]
177
- },
178
- ))
179
- return result
180
-
181
- if self.config.name == "dev":
182
- return [
183
- datasets.SplitGenerator(
184
- name=datasets.Split.VALIDATION,
185
- gen_kwargs={
186
- "audio_archives_iterators": [
187
- dl_manager.iter_archive(archive_path) for archive_path in audio_archives_paths["dev"]
188
- ],
189
- "local_audio_archives_paths": local_audio_archives_paths[
190
- "dev"] if local_audio_archives_paths else None,
191
- "meta_paths": meta_paths["dev"]
192
- },
193
- ),
194
- ]
195
-
196
- if self.config.name == "test":
197
-
198
- return [
199
- datasets.SplitGenerator(
200
- name=datasets.Split.TEST,
201
- gen_kwargs={
202
- "audio_archives_iterators": [
203
- dl_manager.iter_archive(archive_path) for archive_path in audio_archives_paths["test"]
204
- ],
205
- "local_audio_archives_paths": local_audio_archives_paths[
206
- "test"] if local_audio_archives_paths else None,
207
- "meta_paths": meta_paths["test"]
208
- },
209
- ),
210
- ]
 
 
 
 
 
 
 
 
 
 
 
 
211
 
212
  def _generate_examples(self, audio_archives_iterators, local_audio_archives_paths, meta_paths):
213
 
 
137
 
138
  # meta_paths = dl_manager.download_and_extract(meta_urls)
139
  meta_paths = dl_manager.download(meta_urls)
140
+ return [
141
+ datasets.SplitGenerator(
142
+ name=datasets.Split.TEST,
143
+ gen_kwargs={
144
+ "audio_archives_iterators": [
145
+ dl_manager.iter_archive(archive_path) for archive_path in audio_archives_paths[self.config.name]
146
+ ],
147
+ "local_audio_archives_paths": local_audio_archives_paths[
148
+ self.config.name] if local_audio_archives_paths else None,
149
+ "meta_paths": meta_paths[self.config.name]
150
+ },
151
+ ),
152
+ ]
153
+ # if self.config.name not in {"dev", "test"}:
154
+ # result = [
155
+ # datasets.SplitGenerator(
156
+ # name=datasets.Split.TRAIN,
157
+ # gen_kwargs={
158
+ # "audio_archives_iterators": [
159
+ # dl_manager.iter_archive(archive_path) for archive_path in audio_archives_paths["train"]
160
+ # ],
161
+ # "local_audio_archives_paths": local_audio_archives_paths[
162
+ # "train"] if local_audio_archives_paths else None,
163
+ # "meta_paths": meta_paths["train"]
164
+ # },
165
+ # )
166
+ # ]
167
+ # if 'dev' in audio_archives_paths:
168
+ # result.append(datasets.SplitGenerator(
169
+ # name=datasets.Split.VALIDATION,
170
+ # gen_kwargs={
171
+ # "audio_archives_iterators": [
172
+ # dl_manager.iter_archive(archive_path) for archive_path in audio_archives_paths["dev"]
173
+ # ],
174
+ # "local_audio_archives_paths": local_audio_archives_paths[
175
+ # "dev"] if local_audio_archives_paths else None,
176
+ # "meta_paths": meta_paths["dev"]
177
+ # },
178
+ # ))
179
+ # if 'test' in audio_archives_paths:
180
+ # result.append(datasets.SplitGenerator(
181
+ # name=datasets.Split.TEST,
182
+ # gen_kwargs={
183
+ # "audio_archives_iterators": [
184
+ # dl_manager.iter_archive(archive_path) for archive_path in audio_archives_paths["test"]
185
+ # ],
186
+ # "local_audio_archives_paths": local_audio_archives_paths[
187
+ # "test"] if local_audio_archives_paths else None,
188
+ # "meta_paths": meta_paths["test"]
189
+ # },
190
+ # ))
191
+ # return result
192
+
193
+ # if self.config.name == "dev":
194
+ # return [
195
+ # datasets.SplitGenerator(
196
+ # name=datasets.Split.VALIDATION,
197
+ # gen_kwargs={
198
+ # "audio_archives_iterators": [
199
+ # dl_manager.iter_archive(archive_path) for archive_path in audio_archives_paths["dev"]
200
+ # ],
201
+ # "local_audio_archives_paths": local_audio_archives_paths[
202
+ # "dev"] if local_audio_archives_paths else None,
203
+ # "meta_paths": meta_paths["dev"]
204
+ # },
205
+ # ),
206
+ # ]
207
+
208
+ # if self.config.name == "test":
209
+
210
+ # return [
211
+ # datasets.SplitGenerator(
212
+ # name=datasets.Split.TEST,
213
+ # gen_kwargs={
214
+ # "audio_archives_iterators": [
215
+ # dl_manager.iter_archive(archive_path) for archive_path in audio_archives_paths["test"]
216
+ # ],
217
+ # "local_audio_archives_paths": local_audio_archives_paths[
218
+ # "test"] if local_audio_archives_paths else None,
219
+ # "meta_paths": meta_paths["test"]
220
+ # },
221
+ # ),
222
+ # ]
223
 
224
  def _generate_examples(self, audio_archives_iterators, local_audio_archives_paths, meta_paths):
225