Update README with code snippets and scripts

README.md

@@ -39,6 +39,7 @@ source_datasets:
 - extended|other-common-voice
 task_categories:
 - automatic-speech-recognition
+- audio-to-audio
 task_ids: []
 paperswithcode_id: null
 pretty_name: CoVoST 2
@@ -916,6 +917,7 @@ dataset_info:
   - [Dataset Summary](#dataset-summary)
   - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
   - [Languages](#languages)
+  - [How to use](#how-to-use)
 - [Dataset Structure](#dataset-structure)
   - [Data Instances](#data-instances)
   - [Data Fields](#data-fields)
@@ -957,6 +959,34 @@ crowdsourced voice recordings. There are 2,900 hours of speech represented in th
 
 The dataset contains the audio, transcriptions, and translations in the following languages, French, German, Dutch, Russian, Spanish, Italian, Turkish, Persian, Swedish, Mongolian, Chinese, Welsh, Catalan, Slovenian, Estonian, Indonesian, Arabic, Tamil, Portuguese, Latvian, and Japanese. 
 
+## How to use
+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. 
+
+For example, to download the English-Turkish config, simply specify the corresponding language config name (i.e., "en_tr" for English to Turkish):
+```python
+from datasets import load_dataset
+
+covost2 = load_dataset("covost2", "en_tr", data_dir="<path/to/manual/data>, split="train")
+```
+Note: For a successful load, you'd first need to download the Common Voice 4.0 `en` split from https://commonvoice.mozilla.org/en/datasets and unpack it with <code>tar xvzf file_name.tar</code>. Upon successful download pass the location of the CV 4.0 dataset in the `data_dir` argument of the CoVoST2 `load_dataset` call.
+
+*Bonus*: create a [PyTorch dataloader](https://huggingface.co/docs/datasets/use_with_pytorch) directly with your own datasets.
+
+```python
+from datasets import load_dataset
+from torch.utils.data.sampler import BatchSampler, RandomSampler
+
+covost2 = load_dataset("covost2", "en_tr", data_dir="<path/to/manual/data>, split="train")
+batch_sampler = BatchSampler(RandomSampler(covost2), batch_size=32, drop_last=False)
+dataloader = DataLoader(covost2, batch_sampler=batch_sampler)
+```
+
+To find out more about loading and preparing audio datasets, head over to [hf.co/blog/audio-datasets](https://huggingface.co/blog/audio-datasets).
+
+### Example scripts
+
+Train your own CTC or Seq2Seq Speech Translation models on CoVoST2 with `transformers` - [here](https://github.com/huggingface/transformers/tree/main/examples/pytorch/speech-recognition).
+
 ## Dataset Structure
 
 ### Data Instances