wehub-resource-sync
59 lines
2.3 KiB
Python
59 lines
2.3 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 json
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import os
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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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__all__ = ["DuConv"]
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class DuConv(DatasetBuilder):
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"""
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Duconv is an dialogue dataset based on knowledge map released by Baidu.
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Duconv contains two test sets, test_1 and test_2. And the test_1 contains
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the response of the conversation but test_2 not. More information please
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refer to `https://arxiv.org/abs/1503.02364`.
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"""
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URL = "https://bj.bcebos.com/paddlenlp/datasets/DuConv.tar.gz"
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MD5 = "ef496871787f66718e567d62bd8f3546"
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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("DuConv", "train.txt"), "26192809b8740f620b95c9e18c65edf4"),
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"dev": META_INFO(os.path.join("DuConv", "dev.txt"), "2e5ee6396b0467309cad75d37d6460b1"),
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"test_1": META_INFO(os.path.join("DuConv", "test_1.txt"), "8ec83a72318d004691962647905cc345"),
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"test_2": META_INFO(os.path.join("DuConv", "test_2.txt"), "e8d5f04a5d0a03ab110b1605d0a632ad"),
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}
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def _get_data(self, mode, **kwargs):
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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, *args):
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with open(filename, "r", encoding="utf-8") as fin:
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for line in fin:
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example = json.loads(line.strip())
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yield example
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