Update README.md

README.md

@@ -23,7 +23,7 @@ Organizations interested in utilizing the AzSpeech dataset for commercial purpos
 
 __Academic and Research Use:__
 
-Approximately 40% of the AzSpeech dataset is designated for open-source use, aimed at supporting academic and research endeavors. Educational institutions wishing to access this portion of the dataset are required to form a partnership with the Alas Development Center. It is important to note that we will not be processing individual requests. Instead, our focus is on establishing collaborations with organizations that share our commitment to ethical data use. Organizations accessing the open-source data must fully comprehend and agree to our guidelines on data misuse prevention and adhere to our monitoring policy. This ensures the dataset's responsible use and aligns with our goals of advancing the field of voice technology research and development.
+Approximately 40% of the AzSpeech dataset (~400 hours) is designated for open-source use, aimed at supporting academic and research endeavors. Educational institutions wishing to access this portion of the dataset are required to form a partnership with the Alas Development Center. It is important to note that we will not be processing individual requests. Instead, our focus is on establishing collaborations with organizations that share our commitment to ethical data use. Organizations accessing the open-source data must fully comprehend and agree to our guidelines on data misuse prevention and adhere to our monitoring policy. This ensures the dataset's responsible use and aligns with our goals of advancing the field of voice technology research and development.
 
 For educational institutions and research organizations interested in accessing the open-source portion of the AzSpeech dataset, please fill out the [following](https://forms.gle/xR11bACKfiERVAti7) form using your official company or institutional email. This process is designed to ensure that access is granted to legitimate academic and research entities committed to ethical and responsible use of the dataset.