Update README.md

README.md

@@ -83,7 +83,7 @@ ciempiess_fem = load_dataset("ciempiess/ciempiess_fem",split="train")
 automatic-speech-recognition: The dataset can be used to test a model for Automatic Speech Recognition (ASR). The model is presented with an audio file and asked to transcribe the audio file to written text. The most common evaluation metric is the word error rate (WER).
 
 ### Languages
-The language of the corpus is Spanish with the accent of Central Mexico.
+The language of the corpus is Spanish.
 
 ## Dataset Structure
 
@@ -110,12 +110,12 @@ The language of the corpus is Spanish with the accent of Central Mexico.
 * `speaker_id` (string) - id of speaker
 * `gender` (string) - gender of speaker (male or female)
 * `duration` (float32) - duration of the audio file in seconds.
-* `country` (string) - accent of the speaker.
+* `country` (string) - country of the speaker.
 * `normalized_text` (string) - normalized audio segment transcription.
 
 ### Data Splits
 
-The corpus counts just with the train split which has a total of 8555 speech files from 53 female speakers and 34 male speakers with a total duration of 18 hours and 20 minutes.
+The corpus counts just with the train split which has a total of 6505 speech files from 21 female speakers with a total duration of 13 hours and 54 minutes.
 
 ## Dataset Creation