Hello,
I’m planning to fine-tune XLSR-Wav2Vec2 for Spanish, following the notebooks and methodology shared by @patrickvonplaten. See for example the Turkish one 15.
I’m just getting started and still getting a feel for the data I downloaded from Common Voice. I’ve seen sentences referring to words in other languages, for example:
"hay pues dos pronunciaciones posibles para 日本 nihon o nippon"
"más adelante los kanjis cambiaron a 蝦夷"

This increases the vocab substantially (230 characters after basic punctuation removal), and probably adds a lot of noise. Is this a scenario that occurs in other Common Voice datasets?
I’m currently considering the exclusion of these samples, but I haven’t yet measured how many of them there are in the dataset.