Update README.md

README.md

@@ -48,15 +48,14 @@ Syntactic Transformed Version of Farsi QA datasets to make fluent responses from
  
 - **Homepage:** [Sharif-SLPL](https://github.com/Sharif-SLPL)
 - **Repository:** [SynTran-fa](https://github.com/agp-internship/syntran-fa)
-- **Paper:**
-- **Leaderboard:**
 - **Point of Contact:** [Sadra Sabouri](mailto:sabouri.sadra@gmail.com)
+- **Size of dataset files:** 6.12 MB
 
 ### Dataset Summary
 
-Generating fluent responses has always been challenging for the question-answering task, especially in low-resource languages like Farsi. In recent years there were some efforts for enhancing the size of datasets in Farsi. Syntran-fa is a question-answering dataset that accumulates former Farsi QA datasets short answers and proposes a complete fluent answer for each pair of (question, short_answer).
+Generating fluent responses has always been challenging for the question-answering task, especially in low-resource languages like Farsi. In recent years there were some efforts for enhancing the size of datasets in Farsi. Syntran-fa is a question-answering dataset that accumulates the former Farsi QA dataset's short answers and proposes a complete fluent answer for each pair of (question, short_answer).
 
-This dataset contains near 50,000 indices of question and answers. The dataset that has been used as our sources were as follows:
+This dataset contains nearly 50,000 indices of questions and answers. The dataset that has been used as our sources were as follows:
 + QA_DATASET1
 + QA_DATASET2
 + ...