Update README.md

README.md

@@ -20,6 +20,8 @@ task_categories:
 - question-answering
 task_ids:
 - extractive-qa
+license:
+- apache-2.0
 ---
 
 # Dataset Card for CodeQueries
@@ -109,13 +111,13 @@ In general, data splits in all the proposed settings have examples with the foll
 
 ## Dataset Creation
 
-The dataset is created by using [ETH Py150 Open corpus](https://github.com/google-research-datasets/eth_py150_open) as source for code contexts. To get semantic queries and corresponding answer/supporting-fact spans in ETH Py150 Open corpus files, CodeQL was used.
+The dataset is created using [ETH Py150 Open dataset](https://github.com/google-research-datasets/eth_py150_open) as source for code contexts. To get semantic queries and corresponding answer/supporting-fact spans in ETH Py150 Open corpus files, CodeQL was used.
 
 
 ## Additional Information
 ### Licensing Information
 
-The CodeQueries dataset is licensed under the [Apache-2.0](https://opensource.org/licenses/Apache-2.0) License.
+The source code repositories used for preparing CodeQueries are based on the [ETH Py150 Open dataset](https://github.com/google-research-datasets/eth_py150_open) and are redistributable under the respective licenses. A Huggingface dataset for ETH Py150 Open is available [here](https://huggingface.co/datasets/eth_py150_open). The labeling prepared and provided by us as part of CodeQueries is released under the Apache-2.0 license.
 
 ### Citation Information