Datasets:
Salama1429
commited on
Commit
•
d9f675e
1
Parent(s):
0adbcc0
Update README.md
Browse files
README.md
CHANGED
@@ -127,6 +127,23 @@ An example from the dataset is:
|
|
127 |
}
|
128 |
```
|
129 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
130 |
### Data Fields
|
131 |
|
132 |
- audio: A dictionary containing the path to the downloaded audio file, the decoded audio array, and the sampling rate. Note that when accessing the audio column: `dataset[0]["audio"]` the audio file is automatically decoded and resampled to `dataset.features["audio"].sampling_rate`. Decoding and resampling of a large number of audio files might take a significant amount of time. Thus it is important to first query the sample index before the `"audio"` column, *i.e.* `dataset[0]["audio"]` should **always** be preferred over `dataset["audio"][0]`.
|
|
|
127 |
}
|
128 |
```
|
129 |
|
130 |
+
### Length:
|
131 |
+
|
132 |
+
Training:
|
133 |
+
Total duration: 2985111.2642479446 seconds
|
134 |
+
Total duration: 49751.85440413241 minutes
|
135 |
+
Total duration: 829.1975734022068 hours
|
136 |
+
|
137 |
+
Validation:
|
138 |
+
Total duration: 372720.43139099434 seconds
|
139 |
+
Total duration: 6212.007189849905 minutes
|
140 |
+
Total duration: 103.5334531641651 hours
|
141 |
+
|
142 |
+
Test:
|
143 |
+
Total duration: 375509.96909399604 seconds
|
144 |
+
Total duration: 6258.499484899934 minutes
|
145 |
+
Total duration: 104.30832474833224 hours
|
146 |
+
|
147 |
### Data Fields
|
148 |
|
149 |
- audio: A dictionary containing the path to the downloaded audio file, the decoded audio array, and the sampling rate. Note that when accessing the audio column: `dataset[0]["audio"]` the audio file is automatically decoded and resampled to `dataset.features["audio"].sampling_rate`. Decoding and resampling of a large number of audio files might take a significant amount of time. Thus it is important to first query the sample index before the `"audio"` column, *i.e.* `dataset[0]["audio"]` should **always** be preferred over `dataset["audio"][0]`.
|