# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
#
# 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 collections
import json
import os
from paddle.dataset.common import md5file
from paddle.utils.download import get_path_from_url
from paddlenlp.utils.env import DATA_HOME
from . import DatasetBuilder
__all__ = ['ChnSentiCorp']
[docs]class ChnSentiCorp(DatasetBuilder):
"""
ChnSentiCorp (by Tan Songbo at ICT of Chinese Academy of Sciences, and for
opinion mining)
"""
URL = "https://bj.bcebos.com/paddlehub-dataset/chnsenticorp.tar.gz"
MD5 = "fbb3217aeac76a2840d2d5cd19688b07"
META_INFO = collections.namedtuple('META_INFO', ('file', 'md5'))
SPLITS = {
'train': META_INFO(
os.path.join('chnsenticorp', 'train.tsv'),
'689360c4a4a9ce8d8719ed500ae80907'),
'dev': META_INFO(
os.path.join('chnsenticorp', 'dev.tsv'),
'05e4b02561c2a327833e05bbe8156cec'),
'test': META_INFO(
os.path.join('chnsenticorp', 'test.tsv'),
'917dfc6fbce596bb01a91abaa6c86f9e'),
}
def _get_data(self, mode, **kwargs):
"""Downloads dataset."""
default_root = os.path.join(DATA_HOME, self.__class__.__name__)
filename, data_hash = self.SPLITS[mode]
fullname = os.path.join(default_root, filename)
if not os.path.exists(fullname) or (data_hash and
not md5file(fullname) == data_hash):
get_path_from_url(self.URL, default_root, self.MD5)
return fullname
def _read(self, filename):
"""Reads data."""
with open(filename, 'r', encoding='utf-8') as f:
head = None
for line in f:
data = line.strip().split("\t")
if not head:
head = data
else:
label, text = data
yield {"text": text, "label": label}
[docs] def get_labels(self):
"""
Return labels of the ChnSentiCorp object.
"""
return ["0", "1"]