Update README.md

README.md

@@ -84,7 +84,7 @@ tags:
 
 ### Dataset Summary
 
-SUBAK.KO, a publicly available annotated Bangladeshi standard Bangla speech corpus is compiled for automatic speech recognition research. 
+SUBAK.KO, a publicly available annotated Bangladeshi standard Bangla speech corpus, is compiled for automatic speech recognition research. 
 This corpus contains 241 hours of high-quality speech data, including 229 hours of read speech data and 12 hours of broadcast speech data. 
 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 
@@ -92,7 +92,7 @@ of recorded speech provided by two second language (L2) speakers. The broadcast
 been manually annotated under human supervision. The [associated 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 Department of Computer Science and Engineering (CSE) at Shahjalal University of Science and Technology (SUST), 
+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.
 
@@ -131,16 +131,14 @@ A typical data point comprises the path to the audio file, called `path` and its
 
 ### Data Splits
 
-The speech material has been subdivided into portions for train and test.
+SUBAK.KO has been subdivided into three splits for train, validation and test. It is strongly advised to use identical data splits 
+for research purposes to facilitate benchmarking across various models.
 
-Speech was recorded in a quiet environment with high quality microphone, speakers were asked to read one sentence at a time.
 
-|                  | Train | Test  |
-| ---------------- | ----- | ----- |
-| Speakers         | 46    | 19    | 
-| Utterances       | 11660 | 760   |
-| Duration         | 14:55 | 00:45 |
-| Unique Syllables | 4617  | 1692  |
+|                  | Train    | Validation | Test     |
+| ---------------- | ---------|------------|----------|      
+| Utterances       | 64491    | 6594       | 6533     |
+| Duration         | 200.3 hrs| 20.3 hrs   | 20.3 hrs |
 
 
 ## Additional Information