Formatting

README.md

@@ -15,5 +15,6 @@ The dataset currently contains precomputed features from the following datasets.
 The ACAV100M dataset contains a highly diverse set of audio data with multilingual speech, noise, music, all captured in real-world environments.
 This is a highly effective dataset for training custom openwakeword models.
 
-Dataset source: https://acav100m.github.io/
-Size: An array of shape (2812500, 16, 96), corresponding to ~1000 hours of audio from the ACAV100M dataset. Each row in the array has a temporal dimension of 16, which at 80 ms per temporal step results in each row containing features representing 1.28 seconds of audio.
+**Dataset source**: https://acav100m.github.io/
+
+**Size**: An array of shape (2812500, 16, 96), corresponding to ~1000 hours of audio from the ACAV100M dataset. Each row in the array has a temporal dimension of 16, which at 80 ms per temporal step results in each row containing features representing 1.28 seconds of audio.