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# Mystery Zebra Dataset
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This is the Mystery Zebra dataset created as part of the paper "Lexical Recall or Logical Reasoning: Probing the Limits of Reasoning Abilities in Large Language Models".
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We make the dataset available in a .csv format for your convenience. The code used to generate the puzzles in this dataset can be found in: https://github.com/arg-tech/MysteryZebra
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The structure of the dataset is straightforward and easy to parse. In the following, we detail the content of all the columns in the .csv file:
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- __ID__: This field contains the ID of the datapoint.
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- For puzzles of the first part of the benchmark it is composed as follows: Pt1_Einstein_1domain_replacements-0, indicating:
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# Mystery Zebra Dataset
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This is the Mystery Zebra dataset created as part of the paper "Lexical Recall or Logical Reasoning: Probing the Limits of Reasoning Abilities in Large Language Models". We make the dataset available in a .csv format for your convenience. The code used to generate the puzzles in this dataset can be found in: https://github.com/arg-tech/MysteryZebra The structure of the dataset is straightforward and easy to parse. In the following, we detail the content of all the columns in the .csv file:
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- __ID__: This field contains the ID of the datapoint.
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- For puzzles of the first part of the benchmark it is composed as follows: Pt1_Einstein_1domain_replacements-0, indicating:
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