Update README.md

README.md

@@ -33,8 +33,6 @@ data = datasets.load_dataset('SLPL/syntran-fa', split="train")
 - [Dataset Structure](#dataset-structure)
 - [Dataset Creation](#dataset-creation)
   - [Source Data](#source-data)
-  - [Annotations](#annotations)
-  - [Personal and Sensitive Information](#personal-and-sensitive-information)
 - [Considerations for Using the Data](#considerations-for-using-the-data)
   - [Social Impact of Dataset](#social-impact-of-dataset)
 - [Additional Information](#additional-information)
@@ -90,18 +88,15 @@ Currently, the dataset just provided the `train` split. There would be a `test`
 
 ## Dataset Creation
 
-We extract all short answer (sentences without verbs - up to ~4 words) entries of all open source QA datasets in Farsi and used some rules featuring the question parse tree to make long (fluent) answers.
-
 ### Source Data
 The source datasets that we used are as follows:
 
 + [PersianQA](https://github.com/sajjjadayobi/PersianQA)
 + [PersianQuAD](https://ieeexplore.ieee.org/document/9729745)
-+ [PQuAD](https://arxiv.org/abs/2202.06219)
 
 #### Initial Data Collection and Normalization
 
-[More Information Needed]
+We extract all short answer (sentences without verbs - up to ~4 words) entries of all open source QA datasets in Farsi and used some rules featuring the question parse tree to make long (fluent) answers.
 
 ### Annotations
 
@@ -117,14 +112,6 @@ The source datasets that we used are as follows:
 
 The dataset is completely a subset of open source known datasets so all information in it is already there on the internet as a open-source dataset. By the way, we do not take responsibility for any of that.
 
-## Considerations for Using the Data
-
-[More Information Needed]
-
-### Social Impact of Dataset
-
-[More Information Needed]
-
 ## Additional Information
 
 ### Dataset Curators
@@ -133,7 +120,7 @@ The dataset is gathered together completely in the Asr Gooyesh Pardaz company's
 
 ### Licensing Information
 
-[More Information Needed]
+MIT
 
 ### Citation Information