punctuation:add training code, support largedataset

九耳

2023-02-28 ee06cb9c6870d9e1579015aabfe1a84a61a5c087

 funasr/datasets/large_datasets/dataset.py

@@ -127,14 +127,17 @@
                            sample_dict["key"] = key
                    else:
                        text = item
                        sample_dict[data_name] = text.strip().split()[1:]
                        segs = text.strip().split()
                        sample_dict[data_name] = segs[1:]
                        if "key" not in sample_dict:
                            sample_dict["key"] = segs[0]
                yield sample_dict

            self.close_reader(reader_list)


def len_fn_example(data):
    return len(data)
    return 1


def len_fn_token(data):
@@ -148,6 +151,7 @@
def Dataset(data_list_file,
            dict,
            seg_dict,
            punc_dict,
            conf,
            mode="train",
            batch_mode="padding"):
@@ -162,7 +166,7 @@
    dataset = FilterIterDataPipe(dataset, fn=filter_fn)

    if "text" in data_names:
        vocab = {'vocab': dict, 'seg_dict': seg_dict}
        vocab = {'vocab': dict, 'seg_dict': seg_dict, 'punc_dict': punc_dict}
        tokenize_fn = partial(tokenize, **vocab)
        dataset = MapperIterDataPipe(dataset, fn=tokenize_fn)

@@ -191,6 +195,10 @@
                                             sort_size=sort_size,
                                             batch_mode=batch_mode)

    dataset = MapperIterDataPipe(dataset, fn=padding if batch_mode == "padding" else clipping)
    int_pad_value = conf.get("int_pad_value", -1)
    float_pad_value = conf.get("float_pad_value", 0.0)
    padding_conf = {"int_pad_value": int_pad_value, "float_pad_value": float_pad_value}
    padding_fn = partial(padding, **padding_conf)
    dataset = MapperIterDataPipe(dataset, fn=padding_fn if batch_mode == "padding" else clipping)

    return dataset