Dear [Team],
I hope this message finds you well. I am new to the GEM conversational_weather dataset available on Hugging Face (https://huggingface.co/datasets/GEM/conversational_weather) and am interested in using it to pretrain my model for conversational weather-related tasks.
Could you please provide guidance or examples on how to get started with this dataset? Specifically, I am looking for:
Sample code or notebooks demonstrating how to load and preprocess the dataset.
Recommended approaches for fine-tuning my LLM based on climate Bert or pretraining models using this dataset.
Any best practices or tips from your experience with GEM datasets.
I would greatly appreciate any pointers or resources you can share to help me effectively leverage this dataset.
Thank you very much for your time and support.
Best regards,
Trisha Chetani