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@@ -84,7 +84,7 @@ model = AutoModelForCausalLM.from_pretrained("sambanovasystems/starcoder-toolben
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  <!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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- The training data is curated for the 8 tasks in ToolBench. See Appendix A of the paper [link] for task details and Appendix C.1 for the training data curation details. In total, there are 9704 training samples, organized in all-shot format as described in Appendix C.2. Here is the [download link](https://drive.google.com/file/d/1XxGGktE_PCWL6CU245aPnJKpjWzSZFDd/view?usp=sharing) to the training data.
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  ### Training Procedure
 
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  <!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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+ The training data is curated for the 8 tasks in ToolBench. See Appendix A of the [paper](dummy link) for task details and Appendix C.1 for the training data curation details. In total, there are 9704 training samples, organized in all-shot format as described in Appendix C.2. Here is the [download link](https://drive.google.com/file/d/1lUatLGnSVhfy1uVIPEQ7qCoLtnCIXi2O/view?usp=sharing) to the training data.
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  ### Training Procedure