# Copyright 2017 Neural Networks and Deep Learning lab, MIPT
# 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
# Unless required by applicable law or agreed to in writing, softwaredata
# 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.
from typing import Dict
from deeppavlov.core.common.registry import register
from deeppavlov.core.data.dataset_reader import DatasetReader
"""Read txt file by lines"""
[docs] def read(self, data_path: str = None, *args, **kwargs) -> Dict:
"""Read lines from txt file
data_path: path to txt file
A dictionary containing training, validation and test parts of the dataset obtainable via ``train``, ``valid`` and ``test`` keys.
with open(data_path) as f:
content = f.readlines()
dataset = dict()
dataset["train"] = [(line,) for line in content]
dataset["valid"] = 
dataset["test"] =