| # 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") |
|
|
