Upload metadata: load_dataset.txt

load_dataset.txt

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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"),
+        "emotion": Value("string"),
+        "language": Value("string")
+    })
+    
+    # Load data from CSV
+    data = {
+        "audio": [],
+        "text": [],
+        "speaker_id": [],
+        "emotion": [],
+        "language": []
+    }
+    
+    # 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["emotion"].append(obj.get("emotion", "neutral"))
+            data["language"].append(obj.get("language", "en"))
+    
+    # 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")