README.md

---
language:
- it
pretty_name: Corpus of Italian Relative Clauses for Entailment (CIRCE)
size_categories:
- n<1K
---

# Dataset Card for CIRCE Challenge @ CALAMITA 2024

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This dataset represents one of the benchmark proposed for the CALAMITA2024 Challenge, co-located with the Tenth Italian Conference on Computational Linguistics .

The dataset focuses on evaluating Language Models' understanding of a specific linguistic structure in Italian: object-extracted relative clauses (ORCs). 
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. 


## Dataset Details

### Dataset Description

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The dataset contains 566 pairs of sentences, where the first sentence includes the ORC and the second sentence is the declarative sentence which can be implied or not by the first.
The ORCs have been primarily sourced from linguistic and psycholinguistic literature to explore the impact of grammatical and semantic features on the processing difficulties humans face when reading ORCs.

A smaller portion of the dataset includes ORCs from existing NLP benchmarks, which are specifically designed to test language models' capabilities in recognizing grammaticality.



## Dataset Structure

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The dataset is provided as a tab-separated text file with the following information for each entry:
- UniqueID: a numerical identifier for the entry;
- ID-mapping: an identifier mapping for cross-referencing according to the CONDITION;
- Source: the original reference from which the sentence has been taken.
- Condition: The type of ORC, based on the features of the two NPs involved.
- Sentence1: the first sentence containing the ORC;
- Sentence2: the second sentence that may or may not be implied by sentence 1;
- NP Target: indicates whether SENTENCE 2 targets the head of the relative clause (NP1) or the subject of the embedded clause (NP2).;
- Gold: the gold label assigned to the pair ("sì" if sentence 1 implied sentence 2, "no" otherwise).


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### Source Data


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#### Data Collection and Processing

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#### Who are the source data producers?

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### Annotations [optional]

<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->

#### Annotation process

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#### Who are the annotators?

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**BibTeX:**

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**APA:**

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## Dataset Card Contact

Dominique Brunato, [email protected]