Datasets:
ArXiv:
License:
supporting audio zip files
Browse files- snow-mountain.py +15 -15
snow-mountain.py
CHANGED
@@ -80,7 +80,7 @@ class Test(datasets.GeneratorBasedBuilder):
|
|
80 |
features = datasets.Features(
|
81 |
{
|
82 |
"sentence": datasets.Value("string"),
|
83 |
-
|
84 |
"path": datasets.Value("string"),
|
85 |
}
|
86 |
)
|
@@ -137,22 +137,22 @@ class Test(datasets.GeneratorBasedBuilder):
|
|
137 |
data_df = pd.read_csv(f,sep=',')
|
138 |
audio_data = {}
|
139 |
for index,row in data_df.iterrows():
|
140 |
-
|
141 |
-
|
142 |
-
|
143 |
-
|
144 |
-
|
145 |
-
|
146 |
-
|
147 |
-
|
148 |
-
|
149 |
-
|
150 |
-
|
151 |
-
|
152 |
-
|
153 |
yield key, {
|
154 |
"sentence": row["sentence"],
|
155 |
"path": row["path"],
|
156 |
-
|
157 |
}
|
158 |
key+=1
|
|
|
80 |
features = datasets.Features(
|
81 |
{
|
82 |
"sentence": datasets.Value("string"),
|
83 |
+
"audio": datasets.features.Audio(sampling_rate=16_000),
|
84 |
"path": datasets.Value("string"),
|
85 |
}
|
86 |
)
|
|
|
137 |
data_df = pd.read_csv(f,sep=',')
|
138 |
audio_data = {}
|
139 |
for index,row in data_df.iterrows():
|
140 |
+
audio = row['path'].split('/')[-1]
|
141 |
+
if audio in audio_data:
|
142 |
+
content = audio_data[audio]
|
143 |
+
else:
|
144 |
+
zip_url = '/'.join(row["path"].split('/')[:-1])+'.zip'
|
145 |
+
archive_path = dl_manager.download(zip_url)
|
146 |
+
for path, file in dl_manager.iter_archive(archive_path):
|
147 |
+
audio_ = path.split('/')[-1]
|
148 |
+
if audio_ not in audio_data:
|
149 |
+
content = file.read()
|
150 |
+
audio_data[audio_] = content
|
151 |
+
if audio in audio_data:
|
152 |
+
content = audio_data[audio]
|
153 |
yield key, {
|
154 |
"sentence": row["sentence"],
|
155 |
"path": row["path"],
|
156 |
+
"audio":{"path": row["path"], "bytes": content}
|
157 |
}
|
158 |
key+=1
|