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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({
# Preserve original sampling rates by not forcing a fixed rate
"audio": Audio(sampling_rate=None),
"text": Value("string"),
"speaker_id": Value("string"),
"language": Value("string"),
"emotion": Value("string"),
"original_dataset": Value("string"),
"original_filename": Value("string"),
"start_time": Value("float32"),
"end_time": Value("float32"),
"duration": Value("float32")
})
# Load data from CSV
data = {
"audio": [],
"text": [],
"speaker_id": [],
"language": [],
"emotion": [],
"original_dataset": [],
"original_filename": [],
"start_time": [],
"end_time": [],
"duration": []
}
# Read JSONL
import json
with open("data.jsonl", "r", encoding="utf-8") as f:
for line in f:
obj = json.loads(line)
data["audio"].append(obj["audio"]) # relative path within repo
data["text"].append(obj.get("text", ""))
data["speaker_id"].append(obj.get("speaker_id", ""))
data["language"].append(obj.get("language", "en"))
data["emotion"].append(obj.get("emotion", "neutral"))
data["original_dataset"].append(obj.get("original_dataset", ""))
data["original_filename"].append(obj.get("original_filename", ""))
data["start_time"].append(obj.get("start_time", 0.0))
data["end_time"].append(obj.get("end_time", 0.0))
data["duration"].append(obj.get("duration", 0.0))
# 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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