Datasets:

thepurpleowl
/

codequeries

Tasks:

Question Answering

Modalities:

Sub-tasks:

Languages:

Size:

Tags:

neural modeling of code

code question answering

code semantic understanding

Libraries:

License:

Dataset card Viewer Files Files and versions

thepurpleowl commited on Sep 16, 2022

Commit

b9784b1

•

1 Parent(s): 9ece021

Update README.md

Files changed (1) hide show

README.md +1 -1

README.md CHANGED Viewed

@@ -48,7 +48,7 @@ task_ids:
 ### Dataset Summary
-CodeQueries is a dataset to evaluate the ability of neural networks to answer semantic queries over code. Given a query and code, a model is expected to identify answer and supporting-fact spans in the code for the query. This is extractive question-answering over code, for questions with a large scope (entire files) and complexity including both single- and multi-hop reasoning. [paper]().
 ### Supported Tasks and Leaderboards

 ### Dataset Summary
+CodeQueries is a dataset to evaluate the ability of neural networks to answer semantic queries over code. Given a query and code, a model is expected to identify answer and supporting-fact spans in the code for the query. This is extractive question-answering over code, for questions with a large scope (entire files) and complexity including both single- and multi-hop reasoning. See the [paper]() for more details.
 ### Supported Tasks and Leaderboards