tobiolatunji
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update readme with all config
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README.md
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@@ -93,7 +93,13 @@ Our goal is to raise awareness for and advance Pan-African English ASR research,
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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.
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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`.
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afrispeech = load_dataset("tobiolatunji/afrispeech-200", "isizulu", split="train", streaming=True)
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print(next(iter(afrispeech)))
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```
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### Local
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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.
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```python
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from datasets import load_dataset
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afrispeech = load_dataset("tobiolatunji/afrispeech-200", "all")
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```
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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.
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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`.
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afrispeech = load_dataset("tobiolatunji/afrispeech-200", "isizulu", split="train", streaming=True)
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print(next(iter(afrispeech)))
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print(list(afrispeech.take(5)))
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```
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### Local
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