Update README.md

README.md

@@ -1,3 +1,32 @@
----
-license: afl-3.0
----
+annotations_creators:
+- expert-generated
+language_creators:
+- expert-generated
+- machine-generated
+languages:
+- Ru
+licenses:
+- afl-3.0
+multilinguality:
+- monolingual
+pretty_name: 'The Pages of Early Soviet Performance (PESP) uses machine learning to
+  generate multiple datasets of early-Soviet illustrated periodicals related to the
+  performing arts. By using computer vision techniques and training a YOLO (You Only
+  Look Once) real-time object detection model, we are producing textual and image
+  data that will facilitate new avenues of research about Soviet culture during the
+  first decades after the October Revolution (1917-1932).
+
+
+  Our starting point is Princeton University Library''s Digital PUL (DPUL) where ten
+  titles - totaling 526 issues and approximately 26,000 pages - of Soviet performance
+  journals have been digitized and can be freely viewed online. Journals are a diverse
+  and complex genre: taken together, this collection contains hundreds of thousands
+  of articles, poems, editorial commentary, advertisements as well as images, illustrations
+  and graphic art. Today, researchers can browse the journals and view and download
+  high-quality page images on DPUL.'
+size_categories: []
+source_datasets:
+- original
+task_categories:
+- other
+task_ids: []