init

tokenize_dataset_s2s.py

@@ -16,7 +16,7 @@ hf_org = os.getenv("HF_ORG", "asahi417")
 hf_dataset = f"seamless-align-{direction}"
 dataset = load_dataset(f"{hf_org}/{hf_dataset}", f"subset_{dataset_id}", split="train")
 tokenizer = EncodecTokenizer.from_pretrained()
-
+max_seq_length = 130000000
 audio_loader = Audio()
 
 
@@ -24,7 +24,7 @@ def error_file(example):
     for side in sides:
         try:
             wav = audio_loader.decode_example(example[f"{side}.audio"])
-            if len(wav["array"]) == 0:
+            if len(wav["array"]) == 0 or len(wav["array"]) > max_seq_length:
                 return False
         except LibsndfileError:
             return False