Source code for deeppavlov.dataset_readers.quora_question_pairs_reader

# 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
#
#     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 csv
from typing import Dict, List, Tuple

from deeppavlov.core.commands.utils import expand_path
from deeppavlov.core.common.registry import register
from deeppavlov.core.data.dataset_reader import DatasetReader


[docs]@register('qqp_reader') class QuoraQuestionPairsReader(DatasetReader): """The class to read the Quora Question Pairs dataset from files. Please, see https://www.kaggle.com/c/quora-question-pairs/data. Args: data_path: A path to a folder with dataset files. seed: Random seed. """ def read(self, data_path: str, seed: int = None, *args, **kwargs) -> Dict[str, List[Tuple[Tuple[str, str], int]]]: data_path = expand_path(data_path) fname = data_path / 'train.csv' contexts = [] responses = [] labels = [] with open(fname, 'r') as f: reader = csv.reader(f) next(reader) for el in reader: contexts.append(el[-3].replace('\n', '').lower()) responses.append(el[-2].replace('\n', '').lower()) labels.append(int(el[-1])) data = list(zip(contexts, responses)) data = list(zip(data, labels)) data = {"train": data, "valid": [], "test": []} return data