File size: 951 Bytes
14ff14a d53d2f8 14ff14a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 | import torch
from torch.utils.data import Dataset, DataLoader
from src.text_tokenizer import TextTokenizer
class MyDataset(Dataset):
def __init__(self, hf_dataset, train_type):
self.hf_dataset = hf_dataset
self.text_tokenizer = TextTokenizer()
assert train_type in ['pretrain', 'sft']
self.train_type = train_type
def __len__(self):
return len(self.hf_dataset)
def __getitem__(self, idx):
data = self.hf_dataset[idx]
audio_token_list = data['audio_token']
text = data['normalized_text']
# text = data['text_normalized']
# text = "["+data['speaker_id']+ "]"+data['text_normalized']
if(self.train_type == 'sft'):
text_token_list = self.text_tokenizer.tokenize(text)
return text_token_list, audio_token_list
else:
return audio_token_list |