Update README.md

README.md

@@ -23,7 +23,8 @@ The assessment involves an entailment task in which the model is given two sente
 <!-- Provide a longer summary of what this dataset is. -->
 
 The dataset contains 568 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, as well as from existing benchmarks designed to test language models' ability to recognize grammaticality.
+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.
+
 
 ### Dataset Sources [optional]
 
@@ -55,16 +56,22 @@ The ORCs have been primarily sourced from linguistic and psycholinguistic litera
 
 [More Information Needed]
 
-## Dataset Creation
-
-### Curation Rationale
+The dataset is provided as a tab-separated text file with the following information for each entry:
+- UniqueIndexID: 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.
+- SENTENCE 1: the first sentence containing the ORC;
+- SENTENCE 2: the second sentence that may or may not be implied by sentence 1;
+- NP INVOLVED: 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).
 
-<!-- Motivation for the creation of this dataset. -->
 
 [More Information Needed]
 
 ### Source Data
 
+
 <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
 
 #### Data Collection and Processing
@@ -95,23 +102,6 @@ The ORCs have been primarily sourced from linguistic and psycholinguistic litera
 
 [More Information Needed]
 
-#### Personal and Sensitive Information
-
-<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
-
-[More Information Needed]
-
-## Bias, Risks, and Limitations
-
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
-
-[More Information Needed]
-
-### Recommendations
-
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
-
-Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
 
 ## Citation [optional]