Datasets:
Tasks:
Question Answering
Modalities:
Text
Sub-tasks:
extractive-qa
Languages:
code
Size:
100K - 1M
License:
Commit
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README.md
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- question-answering
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task_ids:
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- extractive-qa
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# Dataset Card for CodeQueries
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## Dataset Creation
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The dataset is created
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## Additional Information
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### Licensing Information
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The CodeQueries dataset
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### Citation Information
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- question-answering
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task_ids:
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- extractive-qa
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license:
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- apache-2.0
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---
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# Dataset Card for CodeQueries
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## Dataset Creation
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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.
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## Additional Information
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### Licensing Information
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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.
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### Citation Information
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