Update README.md

README.md

@@ -78,7 +78,7 @@ tags:
 
 - **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)
-- **Point of Contact:** [Prof. Dr. M. Shahidur Rahman](mailto:[email protected])
+- **Point of Contact:** [Prof. Dr. M. Shahidur Rahman, Dept. of CSE, SUST](mailto:[email protected])
 
 ### Dataset Summary
 
@@ -87,8 +87,8 @@ 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 [corresponding paper](https://www.sciencedirect.com/science/article/abs/pii/S0167639321001370) reports detailed information about 
-the development and baseline performance of SUBAK.KO. 
+been manually annotated under human supervision to ensure gold-standard labels. The [corresponding paper](https://www.sciencedirect.com/science/article/abs/pii/S0167639321001370) reports detailed information about 
+the development and baseline performance of SUBAK.KO and cross-dataset evaluation in comparison to [LB-ASRTD](https://openslr.org/53/) corpus. 
 
 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 
@@ -96,7 +96,7 @@ Multi-Platform Speech and Language Processing Software for Bangla” of the Univ
 
 
 ### Example Usage
-To download the full SUBAK.KO corpus, use the following code:
+To load the full SUBAK.KO corpus, use the following code:
 
 ```python
 from datasets import load_dataset
@@ -104,6 +104,15 @@ from datasets import load_dataset
 dataset = load_dataset("ahnafsamin/SUBAK.KO")
 ```
 
+To load a specific split of the SUBAK.KO, define the split and set the streaming mode as True in the following way:
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("ahnafsamin/SUBAK.KO", split="test", streaming=True)
+```
+More documentation on streaming can be found [from this link.](https://huggingface.co/docs/datasets/stream#split-dataset)
+
 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.