# -*- coding: utf-8 -*-
# file: data_utils_for_training.py
# time: 02/11/2022 15:39
# author: YANG, HENG <hy345@exeter.ac.uk> (杨恒)
# github: https://github.com/yangheng95
# GScholar: https://scholar.google.com/citations?user=NPq5a_0AAAAJ&hl=en
# ResearchGate: https://www.researchgate.net/profile/Heng-Yang-17/research
# Copyright (C) 2022. All Rights Reserved.
import tqdm
from pyabsa.framework.dataset_class.dataset_template import PyABSADataset
from pyabsa.utils.file_utils.file_utils import load_dataset_from_file
from pyabsa.utils.pyabsa_utils import check_and_fix_labels
[docs]
class GloVeTCDataset(PyABSADataset):
[docs]
def load_data_from_dict(self, dataset_dict, **kwargs):
pass
[docs]
def load_data_from_file(self, dataset_file, **kwargs):
lines = load_dataset_from_file(
self.config.dataset_file[self.dataset_type], config=self.config
)
all_data = []
label_set = set()
for i in tqdm.tqdm(range(len(lines)), desc="preparing dataloader"):
line = lines[i].strip().split("$LABEL$")
text, label = line[0], line[1]
text = text.strip().lower()
label = label.strip().lower()
text_indices = self.tokenizer.text_to_sequence(text)
data = {
"text_indices": text_indices,
"label": label,
}
label_set.add(label)
all_data.append(data)
check_and_fix_labels(label_set, "label", all_data, self.config)
self.config.output_dim = len(label_set)
self.data = all_data
def __init__(self, config, tokenizer, dataset_type="train", **kwargs):
super().__init__(config, tokenizer, dataset_type, **kwargs)
[docs]
def __getitem__(self, index):
return self.data[index]
[docs]
def __len__(self):
return len(self.data)