Update README.md

README.md

@@ -25,7 +25,7 @@ task_ids:
 - image-captioning
 ---
 
-# Dataset Card for COYO-700M
+# Dataset Card for filterred-coyo-700M-beta
 
 ## Table of Contents
 - [Table of Contents](#table-of-contents)
@@ -54,22 +54,19 @@ task_ids:
 
 ## Dataset Description
 
-- **Homepage:** [COYO homepage](https://kakaobrain.com/contents/?contentId=7eca73e3-3089-43cb-b701-332e8a1743fd)
-- **Repository:** [COYO repository](https://github.com/kakaobrain/coyo-dataset)
+- **Homepage:** 
+- **Repository:** 
 - **Paper:**
 - **Leaderboard:**
-- **Point of Contact:** [COYO email](coyo@kakaobrain.com)
+- **Point of Contact:**
 
 ### Dataset Summary
 
-**COYO-700M** is a large-scale dataset that contains **747M image-text pairs** as well as many other **meta-attributes** to increase the usability to train various models. Our dataset follows a similar strategy to previous vision-and-language datasets, collecting many informative pairs of alt-text and its associated image in HTML documents. We expect COYO to be used to train popular large-scale foundation models 
-complementary to other similar datasets. For more details on the data acquisition process, please refer to the technical paper to be released later.
+
 
 ### Supported Tasks and Leaderboards
 
-We empirically validated the quality of COYO dataset by re-implementing popular models such as [ALIGN](https://arxiv.org/abs/2102.05918), [unCLIP](https://arxiv.org/abs/2204.06125), and [ViT](https://arxiv.org/abs/2010.11929). 
-We trained these models on COYO-700M or its subsets from scratch, achieving competitive performance to the reported numbers or generated samples in the original papers. 
-Our pre-trained models and training codes will be released soon along with the technical paper.
+
 
 ### Languages
 
@@ -182,35 +179,19 @@ No human annotation
 
 #### Disclaimer & Content Warning
 
-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](#source-data) 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
 
-It will be described in a paper to be released soon.
 
 ### Discussion of Biases
 
-It will be described in a paper to be released soon.
-
 ### Other Known Limitations
 
-It will be described in a paper to be released soon.
-
 ## Additional Information
 
 ### Dataset Curators
 
-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.
-
-[coyo@kakaobrain.com](mailto:coyo@kakaobrain.com)
-
 ### Licensing Information
 
 #### License