tobiolatunji commited on
Commit
db5d2e3
1 Parent(s): e9dead8

update readme with all config

Browse files
Files changed (1) hide show
  1. README.md +8 -1
README.md CHANGED
@@ -93,7 +93,13 @@ Our goal is to raise awareness for and advance Pan-African English ASR research,
93
 
94
  The `datasets` library allows you to load and pre-process your dataset in pure Python, at scale. The dataset can be downloaded and prepared in one call to your local drive by using the `load_dataset` function.
95
 
96
- The entire dataset is ~120GB and may take about 2hrs to download. If you have disk space or bandwidth limitations, you can use `streaming` mode described below to work with smaller subsets of the data.
 
 
 
 
 
 
97
 
98
  In future updates, you will be able to pass a config to the `load_dataset` function and download only a subset of the data corresponding to a specific accent of interest. The example provided below is `isizulu`.
99
 
@@ -111,6 +117,7 @@ from datasets import load_dataset
111
  afrispeech = load_dataset("tobiolatunji/afrispeech-200", "isizulu", split="train", streaming=True)
112
 
113
  print(next(iter(afrispeech)))
 
114
  ```
115
 
116
  ### Local
 
93
 
94
  The `datasets` library allows you to load and pre-process your dataset in pure Python, at scale. The dataset can be downloaded and prepared in one call to your local drive by using the `load_dataset` function.
95
 
96
+ ```python
97
+ from datasets import load_dataset
98
+
99
+ afrispeech = load_dataset("tobiolatunji/afrispeech-200", "all")
100
+ ```
101
+
102
+ The entire dataset is ~120GB and may take about 2hrs to download depending on internet speed/bandwidth. If you have disk space or bandwidth limitations, you can use `streaming` mode described below to work with smaller subsets of the data.
103
 
104
  In future updates, you will be able to pass a config to the `load_dataset` function and download only a subset of the data corresponding to a specific accent of interest. The example provided below is `isizulu`.
105
 
 
117
  afrispeech = load_dataset("tobiolatunji/afrispeech-200", "isizulu", split="train", streaming=True)
118
 
119
  print(next(iter(afrispeech)))
120
+ print(list(afrispeech.take(5)))
121
  ```
122
 
123
  ### Local