add logo.

README.md

@@ -6538,32 +6538,12 @@ language:
 
 ### Dataset Summary
 
-GlotCC is a document-level, 2TB general domain monolingual dataset derived from CommonCrawl, covering more than 1000 languages.
-
-We open-source the pipeline at  [https://github.com/cisnlp/GlotCC](https://github.com/cisnlp/GlotCC).
-
-
-### Languages
-
-1275 labels.
-
-## Dataset Creation
-
-### Curation Rationale
-
-GlotCC is a multilingual corpus built by the [GlotLID](https://github.com/cisnlp/GlotLID) language identification and [Ungoliant](https://github.com/kargaranamir/ungoliant) pipeline from CommonCrawl.
-
-Current version supports **1000 languages** and is filtered based on adopted filters from C4, CCNet, MADLAD-400, RedPajama-Data-v2, OSCAR, Gopher, RefinedWeb, FineWeb, Datatrove, Dolma, Pile-CC, Pretrainer's Guide, and GlotScript.
-
-
-## Considerations for Using the Data
-
-
-### Discussion of Biases
-
-
-### Other Known Limitations
+<img align="left" src="https://github.com/cisnlp/GlotCC/raw/main/assets/images/logo.jpg" width="200" height="200" /> 
+<a href="https://huggingface.co/datasets/cis-lmu/GlotCC-V1"><img alt="GlotCC Pipline" src="https://img.shields.io/badge/🐱 Pipline-GlotCC-blue"></a>
 
+**GlotCC-V1.0** is a document-level, 2TB general domain monolingual dataset derived from CommonCrawl, covering **1275** languages.  
+It is built by the [GlotLID](https://github.com/cisnlp/GlotLID) language identification and [Ungoliant](https://github.com/kargaranamir/ungoliant) pipeline from CommonCrawl.  
+The current version is filtered based on adopted filters from C4, CCNet, MADLAD-400, RedPajama-Data-v2, OSCAR, Gopher, RefinedWeb, FineWeb, Datatrove, Dolma, Pile-CC, Pretrainer's Guide, and GlotScript. We remove personally identifiable information and perform a self-audit to ensure the quality of the generated corpus.  
 
 ## Additional Information