chore: import upstream snapshot with attribution

examples/models/qwen3_tts/prepare_data.py

@@ -0,0 +1,23 @@
+# This file is used to generate `audio_codes` in the dataset.
+from modelscope import snapshot_download
+from qwen_tts import Qwen3TTSTokenizer
+
+from swift import load_dataset
+
+BATCH_INFER_NUM = 32
+dataset = load_dataset('qsdong/Qwen3-1.7-TTS-SFT-Furina')[0]
+tokenizer_model_path = snapshot_download('Qwen/Qwen3-TTS-Tokenizer-12Hz')
+tokenizer = Qwen3TTSTokenizer.from_pretrained(
+    tokenizer_model_path,
+    device_map='cuda:0',
+)
+audio_codes = []
+
+for i in range(0, len(dataset), BATCH_INFER_NUM):
+    batch_lines = dataset[i:i + BATCH_INFER_NUM]
+    batch_audios = [audios[0] for audios in batch_lines['audios']]
+    enc_res = tokenizer.encode(batch_audios)
+    audio_codes += [code.cpu().tolist() for code in enc_res.audio_codes]
+
+dataset = dataset.add_column('audio_codes', audio_codes)
+dataset.to_parquet('tts_data.parquet')