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utils.py
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utils.py
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# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import os
from paddlenlp.datasets import load_dataset
def load_local_dataset(data_path, splits, label_list):
"""
Read datasets from files.
Args:
data_path (str):
Path to the dataset directory, including label.txt, train.txt,
dev.txt, test.txt (and data.txt).
splits (list):
Which file(s) to load, such as ['train', 'dev', 'test'].
label_list(dict):
A dictionary to encode labels as ids, which should be compatible
with that of verbalizer.
"""
def _reader(data_file, label_list):
with open(data_file, "r", encoding="utf-8") as fp:
for idx, line in enumerate(fp):
data = line.strip().split("\t")
if len(data) == 1:
yield {"text_a": data[0]}
else:
text, label = data
yield {"text_a": text, "labels": label_list[label]}
assert isinstance(splits, list) and len(splits) > 0
split_map = {"train": "train.txt", "dev": "dev.txt", "test": "test.txt"}
dataset = []
for split in splits:
data_file = os.path.join(data_path, split_map[split])
dataset.append(load_dataset(_reader, data_file=data_file, label_list=label_list, lazy=False))
return dataset