wehub-resource-sync
68 lines
2.4 KiB
Python
68 lines
2.4 KiB
Python
# Copyright (c) 2020 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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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__ = ["MsraNer"]
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class MsraNer(DatasetBuilder):
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"""
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Chinese Named Entity Recognition dataset published by Microsoft Research Asia
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in 2006. The dataset is in the BIO scheme.
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"""
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URL = "https://bj.bcebos.com/paddlenlp/datasets/msra_ner.tar.gz"
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MD5 = "f1aadbbf328ea2fa50c9c2b56db0d31e"
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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("msra_ner", "train.tsv"), "e5b4b734ef91861384f441456ad995dd"),
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"test": META_INFO(os.path.join("msra_ner", "test.tsv"), "40b26ae09b63af78ea3a91ac8b8ae303"),
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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 f:
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for line in f:
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line_stripped = line.strip().split("\t")
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if not line_stripped:
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break
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if len(line_stripped) == 2:
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tokens = line_stripped[0].split("\002")
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tags = line_stripped[1].split("\002")
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else:
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tokens = line_stripped.split("\002")
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tags = []
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yield {"tokens": tokens, "labels": tags}
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def get_labels(self):
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return ["B-PER", "I-PER", "B-ORG", "I-ORG", "B-LOC", "I-LOC", "O"]
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