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@@ -233,7 +233,42 @@ The BigCode OpenRAIL-M license agreement (i.e. the legal document itself) is ava
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  With SantaCoder we released a tool for developers to check whether generated source code had been trained on data from The Stack, and if so, the tool would return the likely matches with full attribution. We both offer a fast membership test to check if code was part the pretraining data as well as a full-text search tool. With StarCoder we are releasing a similar tool ([StarCoder Dataset Search](https://huggingface.co/spaces/bigcode/search)) enabling users to check the origin of the model output and respect any licensing conditions (if any).
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  ### This is a living document
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- Please note that this is a living document that will evolve over time with the BigCode project. The intention is to add more details about the project over time. Please leave us comments in the Community if there are any questions or requests for more insights about the project governance. Thank you for taking the time to read this document. We hope it is useful. Please give it a like to let us know it was helpful to you.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  With SantaCoder we released a tool for developers to check whether generated source code had been trained on data from The Stack, and if so, the tool would return the likely matches with full attribution. We both offer a fast membership test to check if code was part the pretraining data as well as a full-text search tool. With StarCoder we are releasing a similar tool ([StarCoder Dataset Search](https://huggingface.co/spaces/bigcode/search)) enabling users to check the origin of the model output and respect any licensing conditions (if any).
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+ # Conclusion and Acknowledgements
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  ### This is a living document
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+ Please note that this is a living document that will evolve over time with the BigCode project.
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+ The intention is to add more details about the project over time.
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+ Please leave us comments in the Community if there are any questions or requests for more insights about the project governance.
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+ Thank you for taking the time to read this document.
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+ We hope it is useful.
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+ Please give it a like to let us know it was helpful to you.
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+
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+ ### Acknowledgments
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+
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+ The work presented in this card is the outcome of the efforts of many BigCode participants beyond the authors of the card.
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+ Please refer to the published papers detailing this work for contributions,
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+ e.g. [StarCoder](https://drive.google.com/file/d/1cN-b9GnWtHzQRoE7M7gAEyivY0kl4BYs/view),
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+ [The Stack](https://huggingface.co/papers/2211.15533), and [SantaCoder](https://huggingface.co/papers/2301.03988).
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+
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+ ### Cite As
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+
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+ ```
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+ @misc{bigcode_governance_card,
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+ author = {Sean Hughes and
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+ Harm de Vries and
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+ Jennifer Robinson and
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+ Carlos Muñoz Ferrandis and
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+ Loubna Ben Alla and
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+ Leandro von Werra and
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+ Sebastien Paquet and
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+ Yacine Jernite
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+ },
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+ title = {BigCode Governance Card},
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+ booktitle = {BigCode},
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+ year = {2023},
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+ url = {https://doi.org/nnnn},
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+ doi = {nnnn}
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+ }
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+ ```
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+