How were the .wav paths in JSONL generated from .parquet data?

#1
by jee019 - opened

Hi, thanks for releasing this dataset!

I noticed that in the provided JSONL files, the audio field points to .wav paths like:

datasets/MLCommons/peoples_speech/wav/41/418bf9367a72...

But as far as I know, People’s Speech is stored in .parquet format, not pre-extracted .wav.
Converting all .parquet files into .wav would take a huge amount of disk space and time.

So I’d like to ask:

  • Did you actually convert the entire dataset into .wav files to create the JSONL?
  • Or is there a script that maps .parquet audio data directly to these .wav paths without full extraction?
  • And if possible, could you share the code you used to construct the JSONL dataset?

Any clarification would be super helpful. Thanks!

i've notice this too. the audio path along with wave files seems not exist in the dataset, so how can we reach it otherwise the training procedure cannot run

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