# 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")