Datasets:
Dataset filtering info
Character dedeplication
If any of the following repeat 5 or more times, they were replaced with 4:
'あ' 'い' 'う' 'え' 'お','ぁ' 'ぃ' 'ぅ' 'ぇ' 'ぉ' 'ん'
For example:「ふにゃあああああああ」->「ふにゃああああ」
Reasoning: Some audio contains elongated vowel sounds that are long enough to justify 4 characters
If any of the following repeat 4 or more times, they were replaced with 3:
'~' 'ー'
For example:「きゃわーーーー!?」->「きゃわーーー!?」
Reasoning: Some audio contains elongated vowel sounds that are long enough to justify 4 characters but 3 looks better for 長音符 in my opinion
If any of the following repeat 3 or more times, they were replaced with 2:
'!' '?' 'っ' '!?'
For example:「は!?!?!?」->「!?!?」
Reasoning: These are characters that shouldn't repeat much.
If any of the following repeat 2 or more times, they were replaced with 1:
'…'
For example:「それは……はい」->「それは…はい」
Other filtering
I got rid of trailing「…」
For example:「それは…」->「それは」 and 「…そうです」->「そうです」
I removed「…」that appears before punctuation
For example:「…?」->「?」
Reflection
- I should consider katakana characters, for some reason I forgot.
- I think I'll limit「!?」to no repetitions next time
- There are 192 transcriptions that start with「。」due to string replacements. I should remove these.
- I should further remove low quality transcriptions who's only characters are: 'ー' 'っ' 'ッ' '…' '!' '?' etc.
- Open to feedback