Update README.md

README.md

@@ -76,11 +76,9 @@ tags:
 
 ## Dataset Description
 
-- **Developed By** Shahjalal University of Science and Technology, Bangladesh
-- **Repository:** [Needs More Information]
+- **Developed By** Dept. of CSE, SUST, Bangladesh
 - **Paper:** [Bangladeshi Bangla speech corpus for automatic speech recognition research](https://www.sciencedirect.com/science/article/abs/pii/S0167639321001370)
-- **Leaderboard:** [Needs More Information]
-- **Point of Contact:** [M. Shahidur Rahman](mailto:[email protected])
+- **Point of Contact:** [Prof. Dr. M. Shahidur Rahman](mailto:[email protected])
 
 ### Dataset Summary
 
@@ -89,13 +87,26 @@ This corpus contains 241 hours of high-quality speech data, including 229 hours
 The read speech segment is recorded in a noise-proof studio environment from 33 male and 28 female native Bangladeshi Bangla speakers 
 representing 8 divisions/34 districts of Bangladesh. Furthermore, the read speech segment comprises a total of 1 hour and 30 minutes 
 of recorded speech provided by two second language (L2) speakers. The broadcast speech segment is collected from YouTube. SUBAK.KO has 
-been manually annotated under human supervision. The [associated paper](https://www.sciencedirect.com/science/article/abs/pii/S0167639321001370) reports detailed information about 
+been manually annotated under human supervision. The [corresponding paper](https://www.sciencedirect.com/science/article/abs/pii/S0167639321001370) reports detailed information about 
 the development and baseline performance of SUBAK.KO. 
 
-SUBAK.KO is developed by the researchers from the Department of Computer Science and Engineering (CSE) at Shahjalal University of Science and Technology (SUST), 
-Bangladesh with financial support from the Higher Education Quality Enhancement Project (AIF Window 4, CP 3888) for “The Development of 
+SUBAK.KO is developed by the researchers from the **Department of Computer Science and Engineering (CSE)** at **Shahjalal University of Science and Technology (SUST), 
+Bangladesh** with financial support from the Higher Education Quality Enhancement Project (AIF Window 4, CP 3888) for “The Development of 
 Multi-Platform Speech and Language Processing Software for Bangla” of the University Grants Commission (UGC), Bangladesh.
 
+
+### Example Usage
+To download the full SUBAK.KO corpus, use the following code:
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("ahnafsamin/SUBAK.KO")
+```
+
+Alternatively, you can manually download the zipped SUBAK.KO folder from [this HuggingFace directory.](https://huggingface.co/datasets/ahnafsamin/SUBAK.KO/tree/main/Data)
+The csv files corresponding to the train, validation and test splits can be found in the same directory. 
+
 ### Supported Tasks and Leaderboards
 
 This dataset is designed for the automatic speech recognition task. The associated paper provides the baseline results on SUBAK.KO corpus. 
@@ -144,9 +155,10 @@ for research purposes to facilitate benchmarking across various models.
 
 ### Licensing Information
 
-Public Domain, Creative Commons Attribution NonCommercial ShareAlike v4.0 ([CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode))
+[CC BY 4.0](https://creativecommons.org/licenses/by/4.0/deed.en)
 
 ### Citation Information
+Please cite the following paper if you use the corpus.
 
 ```
 @article{kibria2022bangladeshi,