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  ---
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  language:
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  - it
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- pretty_name: Object_Relative_Clauses
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  size_categories:
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  - n<1K
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  ---
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- # Dataset Card for Dataset Name
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  <!-- Provide a quick summary of the dataset. -->
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- This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
 
 
 
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  ## Dataset Details
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  <!-- Provide a longer summary of what this dataset is. -->
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- - **Curated by:** [More Information Needed]
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- - **Funded by [optional]:** [More Information Needed]
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- - **Shared by [optional]:** [More Information Needed]
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- - **Language(s) (NLP):** [More Information Needed]
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- - **License:** [More Information Needed]
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  ### Dataset Sources [optional]
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  language:
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+ pretty_name: Corpus of Italian Relative Clauses for Entailment (CIRCE)
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+ # Dataset Card for CIRCE Challenge @ CALAMITA 2024
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  <!-- Provide a quick summary of the dataset. -->
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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 LLMs' understanding of a specific linguistic structure in Italian: embedded object-extracted relative clauses (ORCs). The assessment involves an 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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  <!-- Provide a longer summary of what this dataset is. -->
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+ The dataset contains 568 pairs of sentences, where the first sentence contains the ORC and the second sentence is the declarative sentence which can be implied or not by the first.
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  ### Dataset Sources [optional]
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