Update README.md

README.md

@@ -63,7 +63,7 @@ dataset = load_dataset("sadrasabouri/ShahNegar")
 
 ### Dataset Summary
 
-This dataset contains more than 30K images with their corresponding text from the Shahnameh. For each Shahnameh paragraph, we generated at most 9 images. Images corresponding to the same paragraphs have the same `id` field. There was a human annotation post-process in which we removed some harmful/private generated images from the dataset.
+This dataset contains more than 30K images with their corresponding text from the Shahnameh. For each Shahnameh paragraph, we generated at most 9 images. Images corresponding to the same paragraphs have the same `id` field. There was a human annotation post-process in which we removed some harmful/private generated images from the dataset. After all we reached to more than 30K, 256 * 256 images.
 
 ### Supported Tasks and Leaderboards
 
@@ -83,7 +83,7 @@ Here is an instance of our dataset:
 
 ```json
 {
-    "image": <PIL Image Byte>,
+    "image": <PIL Image Bytes>,
     "id": 0,
     "text": "He took up his abode in the mountains, and clad himself and his people in tiger-skins, and from him sprang all kindly nurture and the arts of clothing, till then unknown."
 }
@@ -99,21 +99,21 @@ This dataset has only a split (`train` split).
 
 ## Dataset Creation
 
-The translated version of the Shahnameh was generally derived from the [satoor](https://www.sattor.com/english/Shahnameh.pdf) website.
+The translated version of the Shahnameh was generally derived from the [satoor](https://www.sattor.com/english/Shahnameh.pdf) website. We first extracted texts from the pdf. After that we divided paragraph into sentences and give each sentence to the DALL-E mini model through its online API. It generated nine images for each sentences. After few annotations we came up with more than 30000 images.
 
 ### Annotations
 
 #### Annotation process
 
-[More Information Needed]
+Through the process of image generation we noticed a bias in the DALL-E models towards word `iran`. It was biased so that each sentence with this given word would have pictures from Iran's political figures which were usually totally irrelevant. The annotation process mainly focused to deal with these pictures. We removed those images which seems to be harmful to those figures and/or were irrelevant to the context.
 
 #### Who are the annotators?
 
-[More Information Needed]
+Mahsa Namdar and Sadra Sabouri were the annotators of this dataset.
 
 ### Personal and Sensitive Information
 
-[More Information Needed]
+Since the textual data is easily downloadable and the images were generated through a image generation model there shouldn't be any personal information in this dataset. Just in case which you find something harmful or violating for one's personal information please let us know. We will take proper action as soon as possible.
 
 ## Considerations for Using the Data
 
@@ -137,7 +137,7 @@ The translated version of the Shahnameh was generally derived from the [satoor](
 
 ### Licensing Information
 
-[More Information Needed]
+MIT
 
 ### Citation Information