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@@ -30,8 +30,8 @@ designed to evaluate Czech language competence in the subject-verb agreement pro
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  The examples were transformed to accommodate a missing word selection task.
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  Sentences containing more than one marked verb were discarded.
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- In the remaining sentences, the marked verb is completely replaced with the "____" token.
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- All five possible verb variants form the list of available choices. The index of the correct choice is stored as the label.
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  Preblamatic examples were identified by gradually selecting examples wrongly answered by Claude 3 Haiku, Claude 3 Sonet and GPT-4 Turbo. These 115 examples were then manually checked and 46 of them were identified as ambiguous and removed from the dataset. This led to a final count of 627 evaluation samples.
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  This dataset was created for use within the [Czech-Bench](https://gitlab.com/jirkoada/czech-bench) evaluation framework.
 
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  The examples were transformed to accommodate a missing word selection task.
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  Sentences containing more than one marked verb were discarded.
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+ In the remaining sentences, the marked verb was completely replaced with the "____" token.
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+ All five possible verb variants formed the list of available choices, and the index of the correct choice was stored as the label.
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  Preblamatic examples were identified by gradually selecting examples wrongly answered by Claude 3 Haiku, Claude 3 Sonet and GPT-4 Turbo. These 115 examples were then manually checked and 46 of them were identified as ambiguous and removed from the dataset. This led to a final count of 627 evaluation samples.
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  This dataset was created for use within the [Czech-Bench](https://gitlab.com/jirkoada/czech-bench) evaluation framework.