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58 lines
2.1 KiB
58 lines
2.1 KiB
# Copyright (c) 2016 Baidu, Inc. 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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from paddle.trainer.PyDataProvider2 import *
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UNK_IDX = 0
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def hook(settings, word_dict, label_dict, **kwargs):
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settings.word_dict = word_dict
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settings.label_dict = label_dict
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#all inputs are integral and sequential type
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settings.slots = [
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integer_value_sequence(len(word_dict)),
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integer_value_sequence(len(word_dict)),
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integer_value_sequence(len(word_dict)),
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integer_value_sequence(len(word_dict)),
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integer_value_sequence(len(word_dict)),
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integer_value_sequence(2),
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integer_value_sequence(len(label_dict))]
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@provider(init_hook=hook)
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def process(obj, file_name):
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with open(file_name, 'r') as fdata:
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for line in fdata:
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sentence, predicate, ctx_n1, ctx_0, ctx_p1, mark, label = \
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line.strip().split('\t')
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words = sentence.split()
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sen_len = len(words)
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word_slot = [obj.word_dict.get(w, UNK_IDX) for w in words]
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predicate_slot = [obj.word_dict.get(predicate, UNK_IDX)] * sen_len
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ctx_n1_slot = [obj.word_dict.get(ctx_n1, UNK_IDX)] * sen_len
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ctx_0_slot = [obj.word_dict.get(ctx_0, UNK_IDX)] * sen_len
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ctx_p1_slot = [obj.word_dict.get(ctx_p1, UNK_IDX)] * sen_len
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marks = mark.split()
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mark_slot = [int(w) for w in marks]
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label_list = label.split()
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label_slot = [obj.label_dict.get(w) for w in label_list]
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yield word_slot, predicate_slot, ctx_n1_slot, \
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ctx_0_slot, ctx_p1_slot, mark_slot, label_slot
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