Datasets:
Create pubmed.py
Browse files
pubmed.py
ADDED
|
@@ -0,0 +1,43 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# libraries
|
| 2 |
+
from datasets import load_dataset
|
| 3 |
+
import os
|
| 4 |
+
import json
|
| 5 |
+
|
| 6 |
+
# load all of pubmed -- note that this dataset is 360GB+, so I'm loading this in "streaming mode" -- https://huggingface.co/docs/datasets/stream
|
| 7 |
+
# https://huggingface.co/datasets/pubmed
|
| 8 |
+
full_pubmed = load_dataset('/home/sagemaker-user/pubmed_dataset_src/', streaming=True)
|
| 9 |
+
|
| 10 |
+
# make directory if it doesn't exist
|
| 11 |
+
if not os.path.isdir('pubmed_portions'):
|
| 12 |
+
os.mkdir('pubmed_portions')
|
| 13 |
+
|
| 14 |
+
# download pubmed in portions
|
| 15 |
+
portion_size = 1000 # 1 mil entries per portion
|
| 16 |
+
pubmed_portion = []
|
| 17 |
+
counter = 0
|
| 18 |
+
|
| 19 |
+
# note that I'm only taking the pmid, year, abstract text, abstract title, and authors. There is some more information that you can see by either visiting (https://huggingface.co/datasets/pubmed) or printing one of the entries in the dataset
|
| 20 |
+
for idx, entry in enumerate(full_pubmed['train']):
|
| 21 |
+
try:
|
| 22 |
+
# print(entry)
|
| 23 |
+
pmid = entry['MedlineCitation']['PMID']
|
| 24 |
+
year = entry['MedlineCitation']['DateCompleted']['Year']
|
| 25 |
+
abstract_text = entry['MedlineCitation']['Article']['Abstract']['AbstractText']
|
| 26 |
+
abstract_title = entry['MedlineCitation']['Article']['ArticleTitle']
|
| 27 |
+
abstract_authors_list = entry['MedlineCitation']['Article']['AuthorList']['Author']['LastName']
|
| 28 |
+
|
| 29 |
+
if len(abstract_text) > 20 and len(abstract_title) > 5 and len(abstract_authors_list) > 0: # check that the abstract text, title, or authors are not empty
|
| 30 |
+
pubmed_portion.append({'pmid':pmid, 'year':year, 'abstract_text':abstract_text, 'abstract_title':abstract_title, 'abstract_authors_list':abstract_authors_list})
|
| 31 |
+
|
| 32 |
+
if idx % 10000 == 0:
|
| 33 |
+
print('idx', idx)
|
| 34 |
+
|
| 35 |
+
if idx % portion_size == 0 and len(pubmed_portion)>0:
|
| 36 |
+
# save the pubmed portion
|
| 37 |
+
with open(f'pubmed_portions/pubmed_portion_{counter}.json', 'w') as fp:
|
| 38 |
+
json.dump(pubmed_portion, fp)
|
| 39 |
+
# reset the list
|
| 40 |
+
pubmed_portion = []
|
| 41 |
+
counter += 1
|
| 42 |
+
except: # any issue with the article
|
| 43 |
+
pass
|