olitengc

I got around it by removing the offending content. Not a long term solution if the dataset changes though. Something like this. ```python amnesty_qa = load_dataset("explodinggradients/amnesty_qa", "english_v2") amnesty_qa_df = amnesty_qa['eval'].to_pandas()...