Update README.md (#2)

- Update README.md (d443ce675f683a25b6dd28fc727733b907b870a5)

README.md

@@ -147,21 +147,21 @@ We collected about 10 billion pairs of alt-text and image source in HTML documen
 * Images with min(width, height) < 200 are dropped
 * Images are dropped if the score of [OpenNSFW2](https://github.com/yahoo/open_nsfw) or [GantMan/NSFW](https://github.com/GantMan/nsfw_model) is higher than 0.5
 * Based on the image [pHash](http://www.phash.org/) value, we removed all duplicate images from external public datasets.
-    * ImageNet-1K/21K, Flickr-30K, MS-COCO, CC-3M, CC-12M
+  (ImageNet-1K/21K, Flickr-30K, MS-COCO, CC-3M, CC-12M)
 
 **Text Level**
 * We collected only english text using [cld3](https://github.com/google/cld3)
 * Consecutive whitespace characters are replaced with a single whitespace and whitespace before and after the sentence are removed
-    * e.g. `"\n            \n                Load image into Gallery viewer, valentine&amp;#39;s day roses\n            \n" → "Load image into Gallery viewer, valentine&amp;#39;s day roses"`
+  (e.g. `"\n            \n                Load image into Gallery viewer, valentine&amp;#39;s day roses\n            \n" → "Load image into Gallery viewer, valentine&amp;#39;s day roses"`)
 * Any text with a length of 5 or less has been dropped
 * Text that does not have a noun form has been dropped
 * Text less than 3 words or more than 256 words and text over 1000 words were dropped
 * All texts appearing more than 10 times have been dropped
-    * e.g. `“thumbnail for”, “image for”, “picture of”`
+  (e.g. `“thumbnail for”, “image for”, “picture of”`)
 
 **Image-Text Level**
-* Based on (image_phash, text), duplicated samples has been dropped
-    * Different text may exist for the same image URL.
+* Based on (image_phash, text), duplicated samples have been dropped
+  (Different text may exist for the same image URL.)
 
 #### Who are the source language producers?
 
@@ -179,13 +179,19 @@ No human annotation
 
 ### Personal and Sensitive Information
 
-[More Information Needed]
+The COYO dataset is recommended to be used for research purposes. 
+Kakao Brain tried to construct a "Safe" dataset when building the COYO dataset. 
+(See Data Filtering Section) Kakao Brain is constantly making efforts to create more "Safe" datasets. 
+However, despite these efforts, this large-scale dataset was not hand-picked by humans to avoid the risk due to its very large size (over 700M). 
+Keep in mind that the unscreened nature of the dataset means that the collected images can lead to strongly discomforting and disturbing content for humans. 
+The COYO dataset may contain some inappropriate data, and any problems resulting from such data are the full responsibility of the user who used it. 
+Therefore, it is strongly recommended that this dataset be used only for research, keeping this in mind when using the dataset, and Kakao Brain does not recommend using this dataset as it is without special processing to clear inappropriate data to create commercial products.
 
 ## Considerations for Using the Data
 
 ### Social Impact of Dataset
 
-[More Information Needed]
+It will be described in a paper to be released soon.
 
 ### Discussion of Biases
 
@@ -199,16 +205,35 @@ It will be described in a paper to be released soon.
 
 ### Dataset Curators
 
-[More Information Needed]
+COYO dataset was released as an open source in the hope that it will be helpful to many research institutes and startups for research purposes. We look forward to contacting us from various places who wish to cooperate with us.
+
+[[email protected]](mailto://[email protected])
 
 ### Licensing Information
 
-[More Information Needed]
+The COYO dataset of Kakao Brain is licensed under [CC-BY-4.0 License](https://creativecommons.org/licenses/by/4.0/).
+The full license can be found in the LICENSE.cc-by-4.0 file.
+The dataset includes “Image URL” and “Text” collected from various sites by analyzing Common Crawl data, an open data web crawling project. The collected data (images and text) is subject to the license to which each content belongs.
 
 ### Citation Information
 
-[More Information Needed]
+If you apply this dataset to any project and research, please cite our code:
+
+```
+@misc{kakaobrain2022coyo-700m,
+  title         = {COYO-700M: Image-Text Pair Dataset},
+  author        = {TBA},
+  year          = {2022},
+  howpublished  = {\url{https://github.com/kakaobrain/coyo-dataset}},
+}
+```
 
 ### Contributions
 
-Thanks to [@github-username](https://github.com/<github-username>) for adding this dataset.
+  - Minwoo Byeon ([@mwbyeon](https://github.com/mwbyeon))
+  - Beomhee Park ([@beomheepark](https://github.com/beomheepark))
+  - Haecheon Kim ([@HaecheonKim](https://github.com/HaecheonKim))
+  - Sungjun Lee ([@justhungryman](https://github.com/justHungryMan))
+  - Woonhyuk Baek ([@wbaek](https://github.com/wbaek))
+  - Saehoon Kim ([@saehoonkim](https://github.com/saehoonkim))
+  - and Kakao Brain Large-Scale AI Studio