Datasets:

Languages:
code
Multilinguality:
multilingual
Size Categories:
unknown
ArXiv:
Tags:
License:
taisazero commited on
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Update README.md

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  1. README.md +2 -2
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@@ -3,7 +3,7 @@ annotations_creators: []
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  language_creators:
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  - crowdsourced
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  - expert-generated
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- languages: ["code"]
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  license:
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  - mit
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  multilinguality:
@@ -173,4 +173,4 @@ The paper ["Evaluating Large Language Models Trained on Code"](https://arxiv.org
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  - The query was executed on _February 1, 2022, 12:15:59 AM EST_
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  ## Acknowledgements
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- This project would not have been possible without compute generously provided by Google through the [TPU Research Cloud](https://sites.research.google/trc/about/). We would also like to thank [Dr. Razvan Bunescu](https://webpages.charlotte.edu/rbunescu/) and [The College of Computing and Informatics at UNC Charlotte](https://cci.charlotte.edu/) for their generous contributions to this project, specifically in funding the BigQuery and Google Cloud Storage costs.
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  language_creators:
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  - crowdsourced
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  - expert-generated
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+ language: ["code"]
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  license:
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  - mit
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  multilinguality:
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  - The query was executed on _February 1, 2022, 12:15:59 AM EST_
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  ## Acknowledgements
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+ This project would not have been possible without compute generously provided by Google through the [TPU Research Cloud](https://sites.research.google/trc/about/). We would also like to thank [Dr. Razvan Bunescu](https://webpages.charlotte.edu/rbunescu/) and [The College of Computing and Informatics at UNC Charlotte](https://cci.charlotte.edu/) for their generous contributions to this project, specifically in funding the BigQuery and Google Cloud Storage costs. We would also like to thank the [codeparrot team at Hugging face](https://huggingface.co/codeparrot) for open sourcing their documentation on [github-code](https://huggingface.co/datasets/codeparrot/github-code) which we used for the readme in this dataset. For another similar dataset to this please check github-code!