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README.md

@@ -20,7 +20,7 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
-    num_examples: 25091
+    num_examples: 16790
 configs:
 - config_name: conversational
   data_files:
@@ -42,8 +42,7 @@ Models used:
 
 An 80Hz highpass filter was applied to the source audio prior to segmentation to reduce incidence of the recording environment's low frequency noise.
 
-TODO: update numbers + row count above (bumped to 800ms silence from 350)
-In total, 26.07 hours of audio remains, as 25091 conversational turns. Some transcription errors are to be expected.
+In total, 26.07 hours of audio remains, as 16790 conversational turns. Some transcription errors are to be expected.
 
 # The Expresso Dataset
 [[paper]](https://arxiv.org/abs/2308.05725) [[demo samples]](https://speechbot.github.io/expresso/) [[Original repository]](https://github.com/facebookresearch/textlesslib/tree/main/examples/expresso/dataset)