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from datasets import load_dataset
import numpy as np
ds = load_dataset("bu_radio.py")
prominence = ds["train"]["prominence"]
boundary = ds["train"]["break"]
audio = ds["train"]["audio"]
audio_names = [a.split("/")[-1] for a in audio]
print(len(audio_names), len(set(audio_names)))
# flatten
prominence = np.concatenate(prominence)
boundary = np.concatenate(boundary)
prom_true = np.sum(prominence==True)
prom_false = np.sum(prominence==False)
bound_true = np.sum(boundary==True)
bound_false = np.sum(boundary==False)
print("prominence:", prom_true, prom_false, np.round(prom_false/(prom_true+prom_false)*100,1), (prom_true+prom_false))
print("break: ", bound_true, bound_false, np.round(bound_false/(bound_true+bound_false)*100,1), (bound_true+bound_false))
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