From 8314c5f17eff473e08dca1729c8a1e62290c7866 Mon Sep 17 00:00:00 2001
From: speech_asr <wangjiaming.wjm@alibaba-inc.com>
Date: 星期二, 21 三月 2023 16:28:22 +0800
Subject: [PATCH] update
---
funasr/datasets/large_datasets/dataset.py | 3 ++-
funasr/datasets/large_datasets/build_dataloader.py | 44 ++++++++++++++++++++++++++++++++++++++++----
funasr/datasets/large_datasets/utils/tokenize.py | 6 +++++-
3 files changed, 47 insertions(+), 6 deletions(-)
diff --git a/funasr/datasets/large_datasets/build_dataloader.py b/funasr/datasets/large_datasets/build_dataloader.py
index 0ad1889..156f608 100644
--- a/funasr/datasets/large_datasets/build_dataloader.py
+++ b/funasr/datasets/large_datasets/build_dataloader.py
@@ -1,10 +1,16 @@
import logging
+from pathlib import Path
+from typing import Iterable
+from typing import List
+from typing import Union
-import yaml
-
+import sentencepiece as spm
from torch.utils.data import DataLoader
+from typeguard import check_argument_types
+
from funasr.datasets.large_datasets.dataset import Dataset
from funasr.iterators.abs_iter_factory import AbsIterFactory
+from funasr.text.abs_tokenizer import AbsTokenizer
def read_symbol_table(symbol_table_file):
@@ -21,6 +27,7 @@
symbol_table[char] = i
return symbol_table
+
def load_seg_dict(seg_dict_file):
seg_dict = {}
assert isinstance(seg_dict_file, str)
@@ -33,8 +40,33 @@
seg_dict[key] = " ".join(value)
return seg_dict
+
+class SentencepiecesTokenizer(AbsTokenizer):
+ def __init__(self, model: Union[Path, str]):
+ assert check_argument_types()
+ self.model = str(model)
+ self.sp = None
+
+ def __repr__(self):
+ return f'{self.__class__.__name__}(model="{self.model}")'
+
+ def _build_sentence_piece_processor(self):
+ if self.sp is None:
+ self.sp = spm.SentencePieceProcessor()
+ self.sp.load(self.model)
+
+ def text2tokens(self, line: str) -> List[str]:
+ self._build_sentence_piece_processor()
+ return self.sp.EncodeAsPieces(line)
+
+ def tokens2text(self, tokens: Iterable[str]) -> str:
+ self._build_sentence_piece_processor()
+ return self.sp.DecodePieces(list(tokens))
+
+
class ArkDataLoader(AbsIterFactory):
- def __init__(self, data_list, dict_file, dataset_conf, frontend_conf=None, seg_dict_file=None, punc_dict_file=None, mode="train"):
+ def __init__(self, data_list, dict_file, dataset_conf, frontend_conf=None, seg_dict_file=None, punc_dict_file=None,
+ bpemodel_file=None, mode="train"):
symbol_table = read_symbol_table(dict_file) if dict_file is not None else None
if seg_dict_file is not None:
seg_dict = load_seg_dict(seg_dict_file)
@@ -48,7 +80,11 @@
self.frontend_conf = frontend_conf
logging.info("dataloader config: {}".format(self.dataset_conf))
batch_mode = self.dataset_conf.get("batch_mode", "padding")
- self.dataset = Dataset(data_list, symbol_table, seg_dict, punc_dict,
+ if bpemodel_file is not None:
+ bpe_tokenizer = SentencepiecesTokenizer(bpemodel_file)
+ else:
+ bpe_tokenizer = None
+ self.dataset = Dataset(data_list, symbol_table, seg_dict, punc_dict, bpe_tokenizer,
self.dataset_conf, self.frontend_conf, mode=mode, batch_mode=batch_mode)
def build_iter(self, epoch, shuffle=True):
diff --git a/funasr/datasets/large_datasets/dataset.py b/funasr/datasets/large_datasets/dataset.py
index 1942371..b0e1b8f 100644
--- a/funasr/datasets/large_datasets/dataset.py
+++ b/funasr/datasets/large_datasets/dataset.py
@@ -158,6 +158,7 @@
dict,
seg_dict,
punc_dict,
+ bpe_tokenizer,
conf,
frontend_conf,
mode="train",
@@ -173,7 +174,7 @@
dataset = FilterIterDataPipe(dataset, fn=filter_fn)
if "text" in data_names:
- vocab = {'vocab': dict, 'seg_dict': seg_dict, 'punc_dict': punc_dict}
+ vocab = {'vocab': dict, 'seg_dict': seg_dict, 'punc_dict': punc_dict, 'bpe_tokenizer': bpe_tokenizer}
tokenize_fn = partial(tokenize, **vocab)
dataset = MapperIterDataPipe(dataset, fn=tokenize_fn)
diff --git a/funasr/datasets/large_datasets/utils/tokenize.py b/funasr/datasets/large_datasets/utils/tokenize.py
index a016e4e..3f20c5f 100644
--- a/funasr/datasets/large_datasets/utils/tokenize.py
+++ b/funasr/datasets/large_datasets/utils/tokenize.py
@@ -28,13 +28,17 @@
def tokenize(data,
vocab=None,
seg_dict=None,
- punc_dict=None):
+ punc_dict=None,
+ bpe_tokenizer=None):
assert "text" in data
assert isinstance(vocab, dict)
text = data["text"]
token = []
vad = -2
+ if bpe_tokenizer is not None:
+ text = bpe_tokenizer.text2tokens(text)
+
if seg_dict is not None:
assert isinstance(seg_dict, dict)
txt = forward_segment("".join(text).lower(), seg_dict)
--
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