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@@ -113,14 +113,14 @@ This dataset presents in-context scenarios where models can outsource the comput
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  We provide 2 variants of the dataset. In the first one, the data splits correspond to the original one and can be loaded using:
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- ```python3
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  datasets.load_dataset("MU-NLPC/calc-mawps", "original-splits")
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  ```
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  The second one is filtered to prevent data leaks (overly similar examples in train and test/val splits) in between and across datasets in [Calc-X collection](https://huggingface.co/collections/MU-NLPC/calc-x-652fee9a6b838fd820055483).
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  Specifically, we filtered out around 2,500 near-duplicates from the train set that were similar to some instances in the MAWPS val and test splits and ASDiv-A test split. You can load this variant via:
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- ```python3
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  datasets.load_dataset("MU-NLPC/calc-mawps")
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  ```
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  We provide 2 variants of the dataset. In the first one, the data splits correspond to the original one and can be loaded using:
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+ ```python
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  datasets.load_dataset("MU-NLPC/calc-mawps", "original-splits")
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  ```
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  The second one is filtered to prevent data leaks (overly similar examples in train and test/val splits) in between and across datasets in [Calc-X collection](https://huggingface.co/collections/MU-NLPC/calc-x-652fee9a6b838fd820055483).
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  Specifically, we filtered out around 2,500 near-duplicates from the train set that were similar to some instances in the MAWPS val and test splits and ASDiv-A test split. You can load this variant via:
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+ ```python
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  datasets.load_dataset("MU-NLPC/calc-mawps")
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  ```
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