wehub-resource-sync
69 lines
2.6 KiB
Python
69 lines
2.6 KiB
Python
# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import collections
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import os
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import xml.dom.minidom
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from paddle.dataset.common import md5file
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from paddle.utils.download import get_path_from_url
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from ..utils.env import DATA_HOME
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from .dataset import DatasetBuilder
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class HYP(DatasetBuilder):
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"""
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Hyperpartisan News Detection
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Task: Given a news article text, decide whether it follows a hyperpartisan
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argumentation, i.e., whether it exhibits blind, prejudiced, or unreasoning
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allegiance to one party, faction, cause, or person.
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More detail at https://pan.webis.de/semeval19/semeval19-web/
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"""
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URL = "https://bj.bcebos.com/paddlenlp/datasets/hyp.zip"
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MD5 = "125c504b4da6882c2d163ae9962b6220"
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META_INFO = collections.namedtuple("META_INFO", ("file", "md5"))
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SPLITS = {
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"train": META_INFO(os.path.join("hyp", "train.xml"), "f9dc8cb583db4c061a5abfb556d8c164"),
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"dev": META_INFO(os.path.join("hyp", "eval.xml"), "20a7a7e82ae695a7fac4b8c48d0e4932"),
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"test": META_INFO(os.path.join("hyp", "test.xml"), "5b1a166e7966fa744b402b033b9ed3ae"),
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}
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def _get_data(self, mode, **kwargs):
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"""Downloads dataset."""
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default_root = os.path.join(DATA_HOME, self.__class__.__name__)
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filename, data_hash = self.SPLITS[mode]
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fullname = os.path.join(default_root, filename)
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if not os.path.exists(fullname) or (data_hash and not md5file(fullname) == data_hash):
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get_path_from_url(self.URL, default_root, self.MD5)
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return fullname
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def _read(self, filename, split):
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"""Reads data."""
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dom = xml.dom.minidom.parse(filename)
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example_nodes = dom.documentElement.getElementsByTagName("article")
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for example in example_nodes:
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text = "".join([nodes.toprettyxml(indent="", newl="") for nodes in example.childNodes])
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label = example.getAttribute("hyperpartisan")
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yield {"text": text, "label": label}
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def get_labels(self):
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"""
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Return labels of the HYP object.
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"""
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return ["false", "true"]
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