Update README.md

README.md

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 ---
 license: apache-2.0
+language:
+- en
+tags:
+- speech separation
+size_categories:
+- 100M<n<1B
 ---
+
+The VoxCeleb2 dataset contains over one million sentences from 6,112 individuals
+extracted from YouTube videos, divided into Dev and Test folders. We used the same dataset consistent with previous works
+(Li et al., 2022; Gao & Grauman, 2021; Lee et al., 2021), constructed by selecting 5% of the data from the Dev folder of
+VoxCeleb2 for creating training and validation sets. Similar to LRS2, VoxCeleb2 also contains a significant amount of noise
+and reverberation, making it closer to real-world scenarios, but the acoustic environment of VoxCeleb2 is more complex and
+challenging. It comprises 56-hour training, 3-hour validation, and 1.5-hour test sets.