Update dataset details in model card

README.md

@@ -147,6 +147,16 @@ OpenChat may sometimes generate harmful, hate speech, biased responses, or answe
 
 Our OpenChat 3.5 code and models are distributed under the Apache License 2.0.
 
+## Dataset Details
+
+OpenChat 3.5 was trained with C-RLFT on a collection of publicly available high-quality instruction data, with a custom processing pipeline. We detail some notable subsets included here:
+
+ - [OpenChat ShareGPT](https://huggingface.co/datasets/openchat/openchat_sharegpt4_dataset)
+ - [Open-Orca](https://huggingface.co/datasets/Open-Orca/OpenOrca)
+ - Capybara [1](https://huggingface.co/datasets/LDJnr/Pure-Dove) [2](https://huggingface.co/datasets/LDJnr/Verified-Camel) [3](https://huggingface.co/datasets/LDJnr/LessWrong-Amplify-Instruct)
+ - [GOAT](https://huggingface.co/datasets/tiedong/goat)
+ - [Glaive](https://huggingface.co/datasets/glaiveai/glaive-code-assistant)
+
 ## Citation
 
 ```
@@ -160,7 +170,7 @@ Our OpenChat 3.5 code and models are distributed under the Apache License 2.0.
 
 ## Acknowledgements
 
-We extend our heartfelt gratitude to Alignment Lab AI, Nous Research, and Pygmalion AI for their substantial contributions to data collection and model training.
+We extend our heartfelt gratitude to AutoMeta and caesus from Alignment Lab AI, LDJ and Teknium from Nous Research, alpin and TearGosling from Pygmalion AI for their substantial contributions to data collection and model training.
 
 Special thanks go to Changling Liu from GPT Desk Pte. Ltd., Qiying Yu at Tsinghua University, Baochang Ma, and Hao Wan from 01.AI company for their generous provision of resources. We are also deeply grateful to Jianxiong Li and Peng Li at Tsinghua University for their insightful discussions.