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README.md
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This dataset represents a portion of the benchmark of the MT Challenge @CALAMITA2024.
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The dataset focuses on evaluating Language Models' understanding of a specific linguistic structure in Italian: object-extracted relative clauses (ORCs).
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The assessment involves
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## Dataset Details
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The dataset is provided as a tab-separated text file with the following information for each entry:
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- UniqueID: a numerical identifier for the entry;
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- ID-mapping: an identifier mapping for cross-referencing according to the CONDITION;
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- NP
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[More Information Needed]
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This dataset represents a portion of the benchmark of the MT Challenge @CALAMITA2024.
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The dataset focuses on evaluating 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 logically inferred from the first.
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## Dataset Details
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The dataset is provided as a tab-separated text file with the following information for each entry:
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- UniqueID: a numerical identifier for the entry;
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- ID-mapping: an identifier mapping for cross-referencing according to the CONDITION;
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- Source: the original reference from which the sentence has been taken.
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- Condition: The type of ORC,based on the features of the two NPs involved.
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- Sentence1: the first sentence containing the ORC;
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- Sentence2: the second sentence that may or may not be implied by sentence 1;
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- NP Target: indicates whether SENTENCE 2 targets the head of the relative clause (NP1) or the subject of the embedded clause (NP2).;
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- Gold: the gold label assigned to the pair ("sì" if sentence 1 implied sentence 2, "no" otherwise).
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[More Information Needed]
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