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@@ -42,7 +42,7 @@ task_ids:
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  - **Homepage:** [Data](https://huggingface.co/datasets/thepurpleowl/codequeries)
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  - **Repository:** [Code](https://github.com/thepurpleowl/codequeries-benchmark)
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- - **Paper:** [Paper] ()
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  ### Dataset Summary
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@@ -119,4 +119,16 @@ The CodeQueries dataset is licensed under the [Apache-2.0](https://opensource.or
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  ### Citation Information
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- [More Information Needed]
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - **Homepage:** [Data](https://huggingface.co/datasets/thepurpleowl/codequeries)
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  - **Repository:** [Code](https://github.com/thepurpleowl/codequeries-benchmark)
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+ - **Paper:** [Learning to Answer Semantic Queries over Code](https://arxiv.org/abs/2209.08372)
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  ### Dataset Summary
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  ### Citation Information
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+ ```
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+ @misc{https://doi.org/10.48550/arxiv.2209.08372,
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+ doi = {10.48550/ARXIV.2209.08372},
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+ url = {https://arxiv.org/abs/2209.08372},
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+ author = {Sahu, Surya Prakash and Mandal, Madhurima and Bharadwaj, Shikhar and Kanade, Aditya and Maniatis, Petros and Shevade, Shirish},
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+ keywords = {Software Engineering (cs.SE), Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
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+ title = {Learning to Answer Semantic Queries over Code},
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+ publisher = {arXiv},
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+ year = {2022},
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+ copyright = {Creative Commons Attribution 4.0 International}
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+ }
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+
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+ ```