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#
# Pyserini: Reproducible IR research with sparse and dense representations
#
# 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.
#
# Implementations of support for specific collections.
import json
class Cord19Article:
"""Wrapper class for a raw JSON article from AI2's COVID-19 Open Research Dataset (CORD-19).
Parameters
----------
doc : str
A JSON string of a CORD-19 article.
"""
def __init__(self, doc):
self.json = json.loads(doc)
# Performs some basic error checking, throws an exception if user tries to instantiate with something
# that isn't from CORD-19.
if 'cord_uid' in self.json:
self.full_text = False
elif 'paper_id' in self.json:
self.full_text = True
else:
raise TypeError
def is_full_text(self):
return self.json['has_full_text']
def cord_uid(self):
return self.json['cord_uid']
def bib_entries(self):
return self.json['bib_entries']
def title(self):
try:
if self.is_full_text():
return self.json['metadata']['title']
else:
return self.json['csv_metadata']['title']
except KeyError:
return ''
def abstract(self):
try:
# For a full-text article, we can grab the abstract from two independent sources, the metadata or the
# actual full text. Here, we make the decision to use the metadata, even for full text.
return self.json['csv_metadata']['abstract']
except KeyError:
return ''
def metadata(self):
return self.json['csv_metadata']
def body(self):
try:
if self.is_full_text():
return [entry['text'] for entry in self.json['body_text']]
else:
return []
except KeyError:
return ''
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