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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
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