Update README.md

README.md

@@ -56,7 +56,7 @@ FaQuAD-NLI is a modified version of the [FaQuAD dataset](https://huggingface.co/
 ### Supported Tasks and Leaderboards
 
 - `question_answering`: The dataset can be used to train a model for question-answering tasks in the domain of Brazilian higher education institutions.
-- `textual_entailment`: FaQuAD-NLI can be used to train a model for textual entailment tasks, where question and answer sentence pairs are classified as either suitable or unsuitable as an answer.
+- `textual_entailment`: FaQuAD-NLI can be used to train a model for textual entailment tasks, where question and answer sentence pairs are classified as either suitable or unsuitable.
 
 ### Languages
 
@@ -75,20 +75,13 @@ This dataset is in Brazilian Portuguese.
 
 ### Data Splits
 
-The dataset is split into three subsets: train, validation, and test. The splits were made carefully to avoid question and answer pairs belonging to the same document appearing in more than one split.
+The dataset is split into three subsets: train, validation, and test. 
+The splits were made carefully to avoid question and answer pairs belonging to the same document appearing in more than one split.
 
-- Train: 3128 instances
-- Validation: 731 instances
-- Test: 650 instances
-
-### Licensing Information
-
-[More Information Needed]
-
-### Citation Information
-
-[More Information Needed]
+|            | Train | Validation | Test |
+|------------|-------|------------|------|
+| Instances  | 3128  | 731        | 650  |
 
 ### Contributions
 
-[More Information Needed]
+Thanks to [@ruanchaves](https://github.com/ruanchaves) for adding this dataset.