Update README.md

README.md

@@ -52,19 +52,37 @@ tags:
 pretty_name: Quranic Audio Dataset - Crowdsourced and Labeled Recitation from Non-Arabic Speakers
 ---
 
+# Dataset Card for Quranic Audio Dataset : Crowdsourced and Labeled Recitation from Non-Arabic Speakers
+
+### Dataset Summary
+
+We explore the possibility of crowdsourcing a carefully annotated Quranic dataset, on top of which AI models can be built to simplify the learning process.
+In particular, we use the volunteer-based crowdsourcing genre and implement a crowdsourcing API to gather audio assets.
+We developed a crowdsourcing platform called Quran Voice for annotating the gathered audio assets.
+As a result, we have collected around 7000 Quranic recitations from a pool of 1287 participants across more than 11 non-Arabic countries, and we have annotated 1166 recitations from the dataset in six categories.
+We have achieved a crowd accuracy of 0.77, an inter-rater agreement of 0.63 between the annotators, and 0.89 between the labels assigned by the algorithm and the expert judgments.
+
+## How to use
+
+## Dataset Structure
+
+### Data Instances
+
+### Data Fields
+
 ### Citation Information
 
 ```
 @inproceedings{commonvoice:2020,
-  author = {Salameh, R., Mdfaa, M. A., Askarbekuly, N., & Mazzara, M.},
-  title = {Quranic Audio Dataset: Crowdsourced and Labeled Recitation from Non-Arabic Speakers},
-  year = 2024,
-  eprint    = {2405.02675},
-  eprinttype = {arxiv},
+  author      = {Salameh, R., Mdfaa, M. A., Askarbekuly, N., & Mazzara, M.},
+  title       = {Quranic Audio Dataset: Crowdsourced and Labeled Recitation from Non-Arabic Speakers},
+  year        = 2024,
+  eprint      = {2405.02675},
+  eprinttype  = {arxiv},
   eprintclass = {cs.SD},
-  url       = {https://arxiv.org/abs/2405.02675},
-  language  = {english},
-  booktitle = {},
-  pages = {}
+  url         = {https://arxiv.org/abs/2405.02675},
+  language    = {english},
+  booktitle   = {},
+  pages       = {}
 }
 ```