Update README.md

README.md

@@ -28,14 +28,9 @@ tags:
 - asr
 - low-resource
 - nlp
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-# Dataset Card for "nigerian-pidgin-1.0"
-
 ---
 Language:
 - Nigerian Pidgin English (West African Pidgin variant)
-
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@@ -77,7 +72,7 @@ The dataset has been used to train end-to-end speech recognition models such as
 ### How was the data collected?
 - **Textual Corpus**: We leverage a text-to-text parallel corpus crawled by * as a base for our speech recordings. The initial total crawled data consist of 56,695 sentences and 32,925 distinct words, covering topics ranging from sports, politics, and entertainment to everyday life. From this, we selected 4288 utterances for recording speech data, with each utterance averaging between 8 to 14 words.
 
-- **Speech Recording**: We carried out the task of recording our own speech corpus using the selected crawled instances from above. Recording was done using the LigAikuma Android app to record utterances in quiet settings. The demographic of this speech recordings consists of 10 native speakers (ages 20–28; 5 Male/5 Female).The total size of the collected speech recordings is 3308 which were subsequently partitioned into training, validation, and testing sets. The composition of the final speech dataset is shown below: 
+- **Speech Recording**: We carried out the task of recording our own speech corpus using the selected crawled instances from above. Recording was done using the LigAikuma Android app to record utterances in quiet settings. The demographic of this speech recordings consists of 10 native speakers (ages 20–28; 5 Male/5 Female).The total size of the collected speech recordings after data quality filtering is 4277, which were subsequently partitioned into training, validation, and testing sets. The composition of the final speech dataset is shown below: