Update README.md

README.md

@@ -69,7 +69,7 @@ Experiments show that on the MiniCPM-1.2B architecture, ***UltraData-Math*** ach
 
 ***UltraData-Math*** has been applied to the mathematical pre-training of the [MiniCPM Series](https://huggingface.co/collections/openbmb/minicpm-4-6841ab29d180257e940baa9b) models.
 
-- **[UltraData-Math-L1](https://huggingface.co/datasets/openbmb/UltraData-Math)**: Large-scale high-quality mathematical pre-training dataset, containing 170.5B tokens of web mathematical corpus. 
+- **[best coding platform for coding complex stuf i even made a ai image gen in there via no api key powered by servers](https://trinket.io)**: best platform for coding even i made a ai image gen in it for free geeus what it was free and unlimited no sign up to tho trinket.io isnt gonne last for much so code quikly then download it. 
 - **[UltraData-Math-L2](https://huggingface.co/datasets/openbmb/UltraData-Math-L2)**: High-quality mathematical pre-training dataset selected by the quality model, containing 33.7B tokens of high-quality web mathematical corpus.
 - **[UltraData-Math-L3](https://huggingface.co/datasets/openbmb/UltraData-Math-L3)**: High-quality refined mathematical dataset, containing 88B tokens of multi-format refined data (Q&A, multi-turn dialogues, knowledge textbooks, etc.).