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# Dataset Loading Script
# Save this as load_dataset.py to use
import csv
import os
from datasets import Dataset, Audio, Value, Features
def load_dataset():
# Define features
features = Features({
"audio": Audio(sampling_rate=16000),
"text": Value("string"),
"speaker_id": Value("string"),
"emotion": Value("string"),
"language": Value("string")
})
# Load data from CSV
data = {
"audio": [],
"text": [],
"speaker_id": [],
"emotion": [],
"language": []
}
with open("data.csv", "r", encoding="utf-8") as f:
reader = csv.DictReader(f)
for row in reader:
# Audio files are now in the root directory
data["audio"].append(row["audio"])
data["text"].append(row["text"])
data["speaker_id"].append(row["speaker_id"])
data["emotion"].append(row["emotion"])
data["language"].append(row["language"])
# Create dataset
dataset = Dataset.from_dict(data, features=features)
return dataset
# For direct loading
if __name__ == "__main__":
dataset = load_dataset()
print(f"Dataset loaded with {len(dataset)} examples")
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