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  <!-- Provide a quick summary of the dataset. -->
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- This dataset has been proposed as part of the CALAMITA Challenge, the special event co-located with the Tenth Italian Conference on Computational Linguistics (https://clic2024.ilc.cnr.it/calamita/).
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- The dataset focuses on evaluating Large Language Models' understanding of a specific linguistic structure in Italian: object-extracted relative clauses (ORCs).
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  The assessment involves a yes/no entailment task in which the model is given two sentences. The first contains the target structure, and the second is a simple declarative sentence whose meaning may or may not be inferred from the first, based on the syntactic relationship between the two noun phrases in the ORC.
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  <!-- Provide a quick summary of the dataset. -->
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+ This dataset has been proposed as part of the CALAMITA Challenge, the special event dedicated to the evaluation of Large Language Models (LLMs) in Italian and co-located with the Tenth Italian Conference on Computational Linguistics (https://clic2024.ilc.cnr.it/calamita/).
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+ The dataset focuses on evaluating LLM's understanding of a specific linguistic structure in Italian: object-extracted relative clauses (ORCs).
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  The assessment involves a yes/no entailment task in which the model is given two sentences. The first contains the target structure, and the second is a simple declarative sentence whose meaning may or may not be inferred from the first, based on the syntactic relationship between the two noun phrases in the ORC.
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