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Upload dataset

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README.md CHANGED
@@ -1,4 +1,11 @@
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  ---
 
 
 
 
 
 
 
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  dataset_info:
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  features:
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  - name: sentence
@@ -7,18 +14,20 @@ dataset_info:
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  dtype:
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  audio:
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  sampling_rate: 16000
 
 
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  splits:
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  - name: dev
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- num_bytes: 141550478
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  num_examples: 260
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  - name: test
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- num_bytes: 131678956
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  num_examples: 235
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  - name: train
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- num_bytes: 1268995249.832
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  num_examples: 2339
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- download_size: 1372623929
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- dataset_size: 1542224683.832
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  configs:
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  - config_name: default
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  data_files:
@@ -28,13 +37,6 @@ configs:
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  path: data/test-*
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  - split: train
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  path: data/train-*
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- license: cc0-1.0
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- task_categories:
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- - automatic-speech-recognition
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- language:
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- - cy
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- size_categories:
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- - 1K<n<10K
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  ---
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  The training and development set sentences are taken from CoVoST and have been compared to all validated sentences in the Welsh Common Voice data to ensure none of the already recorded sentences will be used here. Then all sentences containing personal names have been extracted and replaced with a randomly generated name using the Faker library and a custom Welsh names list. The sentences were then recorded by 26 volunteers from North-West Wales, 15 women, 10 men and one non-binary person.
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  ---
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+ language:
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+ - cy
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+ license: cc0-1.0
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+ size_categories:
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+ - 1K<n<10K
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+ task_categories:
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+ - automatic-speech-recognition
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  dataset_info:
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  features:
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  - name: sentence
 
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  dtype:
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  audio:
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  sampling_rate: 16000
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+ - name: speaker
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+ dtype: string
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  splits:
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  - name: dev
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+ num_bytes: 141551954.0
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  num_examples: 260
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  - name: test
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+ num_bytes: 131680285.0
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  num_examples: 235
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  - name: train
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+ num_bytes: 1269008467.832
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  num_examples: 2339
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+ download_size: 1372635924
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+ dataset_size: 1542240706.832
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  configs:
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  - config_name: default
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  data_files:
 
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  path: data/test-*
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  - split: train
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  path: data/train-*
 
 
 
 
 
 
 
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  ---
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  The training and development set sentences are taken from CoVoST and have been compared to all validated sentences in the Welsh Common Voice data to ensure none of the already recorded sentences will be used here. Then all sentences containing personal names have been extracted and replaced with a randomly generated name using the Faker library and a custom Welsh names list. The sentences were then recorded by 26 volunteers from North-West Wales, 15 women, 10 men and one non-binary person.
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