Update README.md

README.md

@@ -60,11 +60,17 @@ task_ids:
 
 ### Dataset Summary
 
-[More Information Needed]
+Open PI is the first dataset for tracking state changes in procedural text from arbitrary domains by using an unrestricted (open) vocabulary. Our solution is a new task formulation in which just the text is provided, from which a set of state changes (entity, attribute, before, after) is generated for each step, where the entity, attribute, and values must all be predicted from an open vocabulary.
 
 ### Supported Tasks and Leaderboards
 
-[More Information Needed]
+-    `Task 1`: Input -> one Paragraph (e.g., with 5 steps), Output -> Entities that change (challenge: implicit entities, some explicit entities that don’t change)     
+
+-    `Task 3`: Input -> Paragraph, Output -> <Attr of entity> that change (challenge: implicit entities, attributes & many combinations) 
+
+-    `Task 4`: Input -> Paragraph, entity, Output -> sequence of attr value changes (challenge: implicit attributes) 
+
+-    `Task 7`: Input -> Image url for a step, Output -> <Visual Attr of entity> and <Non-visual Attr of entity> that change
 
 ### Languages
 
@@ -119,7 +125,11 @@ A typical instance in the dataset:
 
 ### Data Fields
 
-[More Information Needed]
+The following is an excerpt from the dataset README:
+
+Within "qas", some fields should be self-explanatory. Listed below is an explanation about the others: 
+
+#### Fields specific to questions:
 
 ### Data Splits