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@@ -23,32 +23,11 @@ The assessment involves a yes/no entailment task in which the model is given two
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  <!-- Provide a longer summary of what this dataset is. -->
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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.
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- The ORCs have been primarily sourced from linguistic and psycholinguistic literature, as well as from existing benchmarks designed to test language models' ability to recognize grammatically.
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- ### Dataset Sources [optional]
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- <!-- Provide the basic links for the dataset. -->
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-
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- - **Repository:** [More Information Needed]
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- - **Paper [optional]:** [More Information Needed]
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- - **Demo [optional]:** [More Information Needed]
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- ## Uses
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-
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- <!-- Address questions around how the dataset is intended to be used. -->
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-
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- ### Direct Use
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-
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- <!-- This section describes suitable use cases for the dataset. -->
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- [More Information Needed]
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-
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- ### Out-of-Scope Use
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- <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
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- [More Information Needed]
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  ## Dataset Structure
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@@ -60,7 +39,7 @@ The dataset is provided as a tab-separated text file with the following informat
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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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  <!-- Provide a longer summary of what this dataset is. -->
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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.
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+ 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.
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+ A smaller portion of the dataset includes ORCs from existing NLP benchmarks, which are specifically designed to test language models' capabilities in recognizing grammaticality.
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  ## Dataset Structure
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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).;