# 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