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manifest.csvfilepath (path to audio file inside the zip).soft_probs.npyfloat32 probabilities with shape (3514, 234).primary_labels.npy234) matching columns in soft_probs.npy.dataset_info.jsontop10k_noleak_audio.zipmanifest.csv.top10k_noleak_audio.zipmanifest.csv column filepath.1import numpy as np
2import pandas as pd
3from pathlib import Path
4
5manifest = pd.read_csv("manifest.csv")
6soft_probs = np.load("soft_probs.npy")
7labels = np.load("primary_labels.npy", allow_pickle=True)
8
9assert len(manifest) == soft_probs.shape[0]
10assert soft_probs.shape[1] == len(labels)
11
12audio_root = Path("./top10k_noleak_audio")
13audio_path = audio_root / manifest.loc[0, "filepath"]
14print(audio_path)