Datasets:
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import os
import pandas as pd
from datasets import DatasetDict, Dataset, Audio
from sklearn.model_selection import train_test_split
def load_data(data_dir, test_size=0.2, seed=42):
metadata = pd.read_csv(os.path.join(data_dir, "metadata.csv"))
# Split the data into train and test subsets
train_data, test_data = train_test_split(metadata, test_size=0.2, random_state=seed)
# Convert to Hugging Face datasets
train_dataset = Dataset.from_pandas(train_data)
test_dataset = Dataset.from_pandas(test_data)
# Cast the 'path' column to Audio type
train_dataset = train_dataset.cast_column("path", Audio())
test_dataset = test_dataset.cast_column("path", Audio())
# Combine into a DatasetDict
data = DatasetDict({
"train": train_dataset,
"test": test_dataset
})
return data
# Load and split the dataset
data = load_data("my_dataset")
print(data)
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