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#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright (c) 2022 Intel Corporation
#
# 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.
#
# SPDX-License-Identifier: Apache-2.0
#
import abc
from tlt.datasets.dataset import BaseDataset
class TextClassificationDataset(BaseDataset):
"""
Base class for a text classification dataset
"""
def __init__(self, dataset_dir, dataset_name="", dataset_catalog=""):
BaseDataset.__init__(self, dataset_dir, dataset_name, dataset_catalog)
@property
@abc.abstractmethod
def class_names(self):
pass
def get_str_label(self, numerical_value):
"""
Returns the string label (class name) associated with the specified numerical value. If the numerical
value provided is a float, it will be rounded to the nearest integer.
Args:
numerical_value (int or float): Numerical label value
Raises:
TypeError: if the numerical value is not a float or an integer
ValueError: if the numerical value does not map to a class label
"""
if isinstance(numerical_value, float):
numerical_value = int(round(numerical_value))
if not isinstance(numerical_value, int):
raise TypeError("Invalid type for the numerical value. Expected an integer or float value.")
if len(self.class_names) > numerical_value:
return self.class_names[numerical_value]
else:
raise ValueError("The numerical value {} exceeds the number of classes in the dataset ({})".format(
numerical_value, len(self.class_names)))
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