# -*- coding: utf-8 -*-
# file: dataset_list.py
# time: 02/11/2022 19:35
# author: YANG, HENG <hy345@exeter.ac.uk> (杨恒)
# github: https://github.com/yangheng95
# GScholar: https://scholar.google.com/citations?user=NPq5a_0AAAAJ&hl=en
# ResearchGate: https://www.researchgate.net/profile/Heng-Yang-17/research
# Copyright (C) 2022. All Rights Reserved.
from pyabsa.utils.data_utils.dataset_item import DatasetItem
[docs]
class ASTEDatasetList(list):
"""
The following datasets are for aspect polarity classification task.
The datasets are collected from different sources, you can use the id to locate the dataset.
"""
[docs]
Laptop14 = DatasetItem("Laptop14", "401.Laptop14")
[docs]
Restaurant14 = DatasetItem("Restaurant14", "402.Restaurant14")
[docs]
Restaurant15 = DatasetItem("Restaurant15", "403.Restaurant15")
[docs]
Restaurant16 = DatasetItem("Restaurant16", "404.Restaurant16")
[docs]
SemEval = DatasetItem("SemEval", "400.SemEval")
[docs]
Chinese_Zhang = DatasetItem("Chinese_Zhang", ["405.Chinese_Zhang"])
[docs]
Multilingual = DatasetItem("Multilingual", ["ASTE"])
def __init__(self):
super(ASTEDatasetList, self).__init__(
[
self.Laptop14,
self.Restaurant14,
self.Restaurant15,
self.Restaurant16,
self.SemEval,
self.Chinese_Zhang,
self.Multilingual,
]
)