Update readme

README.md

@@ -55,14 +55,14 @@ task_ids:
 ## Dataset Description
 
 - **Homepage:**
-- **Repository:**
+- **Repository:** [Code repo](https://github.com/adityakanade/natural-cubert/)
 - **Paper:**
-- **Leaderboard:**
-- **Point of Contact:**
 
 ### Dataset Summary
 
-[More Information Needed]
+CodeQueries allows to explore extractive question-answering methodology over code 
+by providing semantic queries as question and answer pairs over code context involving 
+complex concepts and long chains of reasoning.
 
 ### Supported Tasks and Leaderboards
 
@@ -70,21 +70,37 @@ task_ids:
 
 ### Languages
 
-[More Information Needed]
+The code section have taken from `python` files.
 
 ## Dataset Structure
 
 ### Data Instances
 
-[More Information Needed]
+All splits of all settings have same format. An example looks as follows -
+```
+```
 
 ### Data Fields
 
-[More Information Needed]
+- examples
+  - query_name (query name to uniquely identify the query)
+  - context_blocks (code blocks supplied as input to the model for prediction)
+  - answer_spans (code in answer spans)
+  - supporting_fact_spans (code in supporting-fact spans)
+  - code_file_path (relative source file path w.r.t. ETH Py150 corpus)
+  - example_type (positive(1) or negative(0) example type)
+  - subtokenized_input_sequence (example subtokens)
+  - label_sequence (example subtoken labels)
 
 ### Data Splits
 
-[More Information Needed]
+|              |train |validation |test |
+|--------------|:----:|:---------:|:---:|
+|ideal         | 9427 |       3270| 3245|
+|prefix        |   -  |         - | 3245|
+|sliding_window|   -  |         - | 3245|
+|file_ideal    |   -  |         - | 3245|
+|twostep       |   -  |         - | 3245|
 
 ## Dataset Creation