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@@ -23,7 +23,7 @@ We introduce TableLlama, an open-source large generalist model specifically tail
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  [TableLlama-7B](https://huggingface.co/osunlp/TableLlama/)
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- ## Training Data
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  The models are trained on the 🤗 [TableInstruct Dataset](https://huggingface.co/datasets/osunlp/TableInstruct), which includes a comprehensive table-based instruction tuning dataset that covers a variety of real-world tables and realistic tasks. We include 14 datasets of 11 tasks in total. Check out the dataset card for more details.
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@@ -56,7 +56,7 @@ appropriately completes the request.
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  ```
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  ## Limitations
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- We've tried our best to build table generalist models. However, we acknowledge that the models' performance may vary based on the complexity and specifics of the table tasks and datasets. Still not all tablep-based tasks can be covered comprehensively.
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  ## Citation
 
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  [TableLlama-7B](https://huggingface.co/osunlp/TableLlama/)
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+ ## Data
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  The models are trained on the 🤗 [TableInstruct Dataset](https://huggingface.co/datasets/osunlp/TableInstruct), which includes a comprehensive table-based instruction tuning dataset that covers a variety of real-world tables and realistic tasks. We include 14 datasets of 11 tasks in total. Check out the dataset card for more details.
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  ```
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  ## Limitations
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+ We've tried our best to build table generalist models. However, we acknowledge that the models' performance may vary based on the complexity and specifics of the table tasks and datasets. Still not all table-based tasks can be covered comprehensively.
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  ## Citation