Upload download_arxiv_data.py

download_arxiv_data.py

@@ -0,0 +1,76 @@
+#!/usr/bin/env python
+# coding: utf-8
+
+# If arxiv is not installed:
+# 
+# ```bash
+# pip install arxiv
+# ```
+
+# In[1]:
+
+
+import json
+import arxiv
+import logging
+from tqdm import tqdm
+
+def get_info(result):
+    d = {'title': result.title, 'published': str(result.published.date()), 
+         'authors': [a.name for a in result.authors],
+         'summary': result.summary, 'link': result.entry_id}
+    return d
+
+
+# In[2]:
+
+
+num_papers = 50000
+# logging.basicConfig(level=logging.INFO)  # if you have more details about process
+
+client = arxiv.Client(
+  page_size = 10000,
+  delay_seconds = 60,
+  num_retries = 5
+)
+
+search = arxiv.Search(
+  query = "Generative modeling",
+  max_results = num_papers,
+  sort_by= arxiv.SortCriterion.Relevance,
+  sort_order=arxiv.SortOrder.Descending
+)
+
+
+# In[3]:
+
+
+data = []
+while len(data) < num_papers:
+    for result in tqdm(client.results(search), total=num_papers):
+        data.append(get_info(result))
+        if len(data) >= num_papers:
+            break
+#     except arxiv.UnexpectedEmptyPageError:
+#         print(f'Exception on {len(data)} records')
+
+
+# In[4]:
+
+
+print(f'finally: {len(data)} entries')
+
+
+# In[5]:
+
+
+with open('arxiv_sample.json', 'w') as fp:
+    json.dump(data, fp)
+
+
+# Pack and check results
+# 
+# ```bash
+# tar -zcvf arxiv_sample.tar.gz arxiv_sample.json
+# ls -lh arxiv*
+# ```