Upload README.md with huggingface_hub

README.md

@@ -19,6 +19,11 @@ corpus. It includes two binary features:
 
 - **confidence**: A post-processing flag to optionally correct transient dropouts in speech. It is set to 1 by default, but switches to 0 for up to ~0.1 seconds (3 chunks of audio) following a transition from speech to silence.  Approximately 7% of the `speech` features in this dataset are `confidence` 0.  The remaining 93% are `confidence` 1 enabling VAD testing.
 
+| split      | active speech, hours | confidence, % |
+| ---------- | :------------------: | :-----------: |
+| test.clean | 5.4                  | 93.2          |
+| test.other | 5.3                  | 92.6          |
+
 The dataset has minimal background noise, making it suitable for mixing with
 external noise samples to test VAD robustness.
 
@@ -61,7 +66,7 @@ In practice you would run the AUC computation across the entire test split.
 
 ## Ignore transient dropouts
 
-Filtering out low-confidence frames (6.8% of the data) improves precision and
+Filtering out low-confidence frames (~7% of the data) improves precision and
 reduces false positives, helping account for slower VAD responses in real-world
 applications.