from datasets import load_dataset from IPython.display import display, HTML

ds = load_dataset("vector-institute/newsmediabias-plus-clean")

random_records = ds['train'].shuffle(seed=42).select(range(50)) # Adjust 'train' if needed

for i, record in enumerate(random_records): article_text = ' '.join(record['article_text'].split()[:200]) # First… See the full description on the dataset page: https://huggingface.co/datasets/vector-institute/nmb-plus-clean.