update

3 files changed, 16 insertions, 16 deletions

diff --git a/scraper/datasets/citation_lookup.csv b/scraper/datasets/citation_lookup.csv
index d48c1025..6738bc3f 100644
--- a/scraper/datasets/citation_lookup.csv
+++ b/scraper/datasets/citation_lookup.csv
@@ -116,8 +116,8 @@ ifad,IFAD,Indian Face Age Database: A Database for Face Recognition with Age Var
 ifdb,IFDB,"Iranian Face Database with age, pose and expression",066d71fcd997033dce4ca58df924397dfe0b5fd1

 ifdb,IFDB,Iranian Face Database and Evaluation with a New Detection Algorithm,066d71fcd997033dce4ca58df924397dfe0b5fd1

 iit_dehli_ear,IIT Dehli Ear,Automated human identification using ear imaging,faf40ce28857aedf183e193486f5b4b0a8c478a2

-ijb_a,IJB-A,Pushing the Frontiers of Unconstrained Face Detection and Recognition: IARPA Janus Benchmark A,140c95e53c619eac594d70f6369f518adfea12ef

-ijb_b,IJB-B,IARPA Janus Benchmark-B Face Dataset,0cb2dd5f178e3a297a0c33068961018659d0f443

+ijb_c,IJB-A,Pushing the Frontiers of Unconstrained Face Detection and Recognition: IARPA Janus Benchmark A,140c95e53c619eac594d70f6369f518adfea12ef

+ijb_c,IJB-B,IARPA Janus Benchmark-B Face Dataset,0cb2dd5f178e3a297a0c33068961018659d0f443

 ijb_c,IJB-C,IARPA Janus Benchmark C,57178b36c21fd7f4529ac6748614bb3374714e91

 ilids_mcts,,"Imagery Library for Intelligent Detection Systems: 
 The i-LIDS User Guide",0297448f3ed948e136bb06ceff10eccb34e5bb77

diff --git a/scraper/s2-final-report.py b/scraper/s2-final-report.py
index c99edaee..e8307b8d 100644
--- a/scraper/s2-final-report.py
+++ b/scraper/s2-final-report.py
@@ -34,7 +34,6 @@ def process_paper(row, addresses):
       address = res['address']
   if not len(papers):
     return
-  for papers[0]['address']
   with open('{}/{}.json'.format(DIR_PUBLIC_CITATIONS, row['key']), 'w') as f:
     json.dump({
       'id': papers[0]['paper_id'],
@@ -189,18 +188,5 @@ def load_megapixels_lookup():
     # recs.append(rec)
   return lookup
 
-def load_institutions(paperId):
-  if os.path.exists(file_path('pdf', paperId, 'institutions.json')):
-    return read_json(file_path('pdf', paperId, 'institutions.json'))['institutions']
-  elif os.path.exists(file_path('doi', paperId, 'institutions.json')):
-    return read_json(file_path('doi', paperId, 'institutions.json'))['institutions']
-  else:
-    return []
-
-def data_path(key, paper_id):
-  return 'datasets/s2/{}/{}/{}'.format(key, paper_id[0:2], paper_id)
-def file_path(key, paper_id, fn):
-  return os.path.join(data_path(key, paper_id), fn)
-  
 if __name__ == '__main__':
   s2_final_report()
diff --git a/scraper/util.py b/scraper/util.py
index d3f4e751..788caa3f 100644
--- a/scraper/util.py
+++ b/scraper/util.py
@@ -303,6 +303,20 @@ class AddressBook (object):
       }
     return None
 
+
+def load_institutions(paperId):
+  if os.path.exists(file_path('pdf', paperId, 'institutions.json')):
+    return read_json(file_path('pdf', paperId, 'institutions.json'))['institutions']
+  elif os.path.exists(file_path('doi', paperId, 'institutions.json')):
+    return read_json(file_path('doi', paperId, 'institutions.json'))['institutions']
+  else:
+    return []
+
+def data_path(key, paper_id):
+  return 'datasets/s2/{}/{}/{}'.format(key, paper_id[0:2], paper_id)
+def file_path(key, paper_id, fn):
+  return os.path.join(data_path(key, paper_id), fn)
+
 def parallelize(func, rows):
   print("Fetching {} items".format(len(rows)))
   chunksize = 3