| import streamlit as st | |
| from datasets import load_dataset | |
| dataset = load_dataset('HUPD/hupd',split='train', streaming=True) | |
| #df = pd.DataFrame.from_dict(dataset_dict["train"]) | |
| # Create a DataFrame object from list | |
| #df = pd.DataFrame(df,columns =['patent_number','decision', 'abstract', 'claims','filing_date']) | |
| #st.dataframe(df) | |
| #from datasets import load_dataset | |
| #dataset = load_dataset('oscar-corpus/OSCAR-2201', 'en', split='train', streaming=True) | |
| print(next(iter(dataset))) | |