Update README.md

README.md

@@ -1,3 +1,49 @@
----
-license: cc-by-4.0
----
+---
+license: cc-by-4.0
+task_categories:
+- automatic-speech-recognition
+language:
+- en
+size_categories:
+- 100K<n<1M
+---
+
+
+
+
+
+# How to Use
+
+- Almost the same with [Librispeech](https://huggingface.co/datasets/openslr/librispeech_asr) dataset module since i refered to the [source code](https://huggingface.co/datasets/openslr/librispeech_asr/blob/main/librispeech_asr.py).
+
+
+```python
+from datasets import load_dataset
+from pprint import pprint
+from IPython.display import display, Audio
+import aiohttp
+import os
+
+# set huggingface cache directory for the extracted raw files and huggingface-cli token
+os.environ['HF_HOME'] = "/data/to/download"  
+!export HF_HOME="/data/to/download"
+
+
+# download dataset
+# if already have librispeech_asr in the cache_dir it will use the same audio files.
+libripc = load_dataset("yoom618/librispeech_pc", 
+                       "all", # all, clean, other
+                       cache_dir="/data/to/download",
+                       trust_remote_code=True,
+                       # storage_options={'client_kwargs': {'timeout': aiohttp.ClientTimeout(total=7200)}},  # add if you need to increase the timeout
+
+
+# check dataset info
+print(libripc)
+
+display(Audio(libripc['train.clean.100'][0]['audio']['array'], 
+                rate=libripc['train.clean.100'][0]['audio']['sample_rate']), 
+                autoplay=False)
+pprint(libripc['train.clean.100'][0]['audio'])
+
+```