# Copyright (c) 2020 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__ = ['SQuAD']
[docs]class SQuAD(DatasetBuilder):
META_INFO = collections.namedtuple('META_INFO', ('file', 'md5', 'URL'))
SPLITS = {
'train_v1': META_INFO(
os.path.join('train-v1.1.json'), '981b29407e0affa3b1b156f72073b945',
'https://paddlenlp.bj.bcebos.com/datasets/squad/train-v1.1.json'),
'dev_v1': META_INFO(
os.path.join('dev-v1.1.json'), '3e85deb501d4e538b6bc56f786231552',
'https://paddlenlp.bj.bcebos.com/datasets/squad/dev-v1.1.json'),
'train_v2': META_INFO(
os.path.join('train-v2.0.json'), '62108c273c268d70893182d5cf8df740',
'https://paddlenlp.bj.bcebos.com/datasets/squad/train-v2.0.json'),
'dev_v2': META_INFO(
os.path.join('dev-v2.0.json'), '246adae8b7002f8679c027697b0b7cf8',
'https://paddlenlp.bj.bcebos.com/datasets/squad/dev-v2.0.json')
}
def _get_data(self, mode, **kwargs):
default_root = os.path.join(DATA_HOME, self.__class__.__name__)
filename, data_hash, URL = 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(URL, default_root)
return fullname
def _read(self, filename, *args):
with open(filename, "r", encoding="utf8") as f:
input_data = json.load(f)["data"]
for entry in input_data:
title = entry.get("title", "").strip()
for paragraph in entry["paragraphs"]:
context = paragraph["context"].strip()
for qa in paragraph["qas"]:
qas_id = qa["id"]
question = qa["question"].strip()
answer_starts = []
answers = []
is_impossible = False
if "is_impossible" in qa.keys():
is_impossible = qa["is_impossible"]
answer_starts = [
answer["answer_start"] for answer in qa["answers"]
]
answers = [
answer["text"].strip() for answer in qa["answers"]
]
yield {
'id': qas_id,
'title': title,
'context': context,
'question': question,
'answers': answers,
'answer_starts': answer_starts,
'is_impossible': is_impossible
}