Update README.md

README.md

@@ -5,18 +5,33 @@ task_categories:
 language:
 - en
 pretty_name: VerbaLex Voice
-configs:
-- config_name: ar
-  data_files:
-  - split: train
-    path: "audio/ar/ar_train.tar"
-  - split: test
-    path: "audio/ar/ar_test.tar"
+---
+# VerbaLex Voice
+## Summary
+This dataset is a collection of speech from non-native English speakers. The dataset is imported from the [L2-Arctic dataset](https://psi.engr.tamu.edu/l2-arctic-corpus/).
+Currently, the dataset only contains a few speech corpus from a few accents. Check for the list of available accent [below](#accents-available).
+
+The accents available within the dataset are represented by the standard [ISO Codes for languages](https://en.wikipedia.org/wiki/List_of_ISO_639_language_codes). For example,
+`ar` represents Arabic accent, and `zh` represents Chinese accent.
+
+## Accents available
+```Arabic, Chinese```
+
+## Dataset structure
+The dataset is configured into different accents within their respective audio and transcription folders. For example, ```audio/ar/``` are the audio files for Arabic accent,
+and ```transcript/zh/``` are the transcription files for the Chinese accent.
+
+Within the accent folders, there will be train and test splits for both the audio and transcription folders. 
 
-- config_name: zh
-  data_files:
-  - split: train
-    path: "audio/zh/zh_train.tar"
-  - split: test
-    path: "audio/zh/zh_test.tar"
----
+## Citation information
+```
+@inproceedings{zhao2018l2arctic,
+    author={Guanlong {Zhao} and Sinem {Sonsaat} and Alif {Silpachai} and Ivana {Lucic} and Evgeny {Chukharev-Hudilainen} and John {Levis} and Ricardo {Gutierrez-Osuna}},
+    title={L2-ARCTIC: A Non-native English Speech Corpus},
+    year=2018,
+    booktitle={Proc. Interspeech},
+    pages={2783–2787},
+    doi={10.21437/Interspeech.2018-1110},
+    url={http://dx.doi.org/10.21437/Interspeech.2018-1110}
+}
+```