Source code for deeppavlov.dataset_readers.faq_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, 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
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from typing import Dict

from pandas import read_csv

from deeppavlov.core.common.registry import register
from deeppavlov.core.data.dataset_reader import DatasetReader


[docs]@register('faq_reader') class FaqDatasetReader(DatasetReader): """Reader for FAQ dataset"""
[docs] def read(self, data_path: str = None, data_url: str = None, x_col_name: str = 'x', y_col_name: str = 'y') -> Dict: """ Read FAQ dataset from specified csv file or remote url Parameters: data_path: path to csv file of FAQ data_url: url to csv file of FAQ x_col_name: name of Question column in csv file y_col_name: name of Answer column in csv file Returns: A dictionary containing training, validation and test parts of the dataset obtainable via ``train``, ``valid`` and ``test`` keys. """ if data_url is not None: data = read_csv(data_url) elif data_path is not None: data = read_csv(data_path) else: raise ValueError("Please specify data_path or data_url parameter") x = data[x_col_name] y = data[y_col_name] train_xy_tuples = [(x[i].strip(), y[i].strip()) for i in range(len(x))] dataset = dict() dataset["train"] = train_xy_tuples dataset["valid"] = [] dataset["test"] = [] return dataset