Update README.md

README.md

@@ -9,10 +9,10 @@ dataset_info:
         sampling_rate: 16000
   splits:
   - name: dev
-    num_bytes: 141550478.0
+    num_bytes: 141550478
     num_examples: 260
   - name: test
-    num_bytes: 131678956.0
+    num_bytes: 131678956
     num_examples: 235
   - name: train
     num_bytes: 1268995249.832
@@ -28,4 +28,16 @@ configs:
     path: data/test-*
   - split: train
     path: data/train-*
+license: cc0-1.0
+task_categories:
+- automatic-speech-recognition
+language:
+- cy
+size_categories:
+- 1K<n<10K
 ---
+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. 
+
+The test split of this dataset is based on the Welsh Common Voice test split. All sentences containing a personal name have been selected and the names have been replaced by 64 Welsh first names and 13 last names each occurring 6 and 5 times, respectively, in combination with either another first name (e.g. the parents first name according to patronymic or matronymic tradition or a second first name to help distinguish oneself if the last name is very common), the word ap or ferch (meaning son or daughter of) + the another first name or with a last name. They were also recorded by the same 26 volunteers.
+
+Similarly to Common Voice, the participants were able to record the sentences by themselves using their own hardware which resulted in a range of sound qualities. Speakers are given a number and can, if needed, be excluded from the data.